This paper is in the following e-collection/theme issue:

Artificial Intelligence (827) Clinical Information and Decision Making (1044) Decision Support for Health Professionals (856) Machine Learning (1122) Innovations and Technology in Cancer Care (330)

Published on in Vol 22 , No 7 (2020) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18228, first published .
Artificial Intelligence in Health Care: Bibliometric Analysis

Artificial Intelligence in Health Care: Bibliometric Analysis

Artificial Intelligence in Health Care: Bibliometric Analysis

Authors of this article:

Yuqi Guo 1 Author Orcid Image ;   Zhichao Hao 2 Author Orcid Image ;   Shichong Zhao 3 Author Orcid Image ;   Jiaqi Gong 4 Author Orcid Image ;   Fan Yang 3 Author Orcid Image
Article Authors Cited by (106) Tweetations (15) Metrics

Journals

  1. Hatmal M, Abderrahman S, Nimer W, Al-Eisawi Z, Al-Ameer H, Al-Hatamleh M, Mohamud R, Alshaer W. Artificial Neural Networks Model for Predicting Type 2 Diabetes Mellitus Based on VDR Gene FokI Polymorphism, Lipid Profile and Demographic Data. Biology 2020;9(8):222 View
  2. García Garmendia J. Spanish influenza score: poder predictivo sin renunciar a lo clásico. Medicina Intensiva 2021;45(2):67 View
  3. García Garmendia J. Spanish influenza score: Predictive power without giving up the classic. Medicina Intensiva (English Edition) 2021;45(2):67 View
  4. Liu T, Tsang W, Xie Y, Tian K, Huang F, Chen Y, Lau O, Feng G, Du J, Chu B, Shi T, Zhao J, Cai Y, Hu X, Akinwunmi B, Huang J, Zhang C, Ming W. Preferences for Artificial Intelligence Clinicians Before and During the COVID-19 Pandemic: Discrete Choice Experiment and Propensity Score Matching Study. Journal of Medical Internet Research 2021;23(3):e26997 View
  5. Maassen O, Fritsch S, Palm J, Deffge S, Kunze J, Marx G, Riedel M, Schuppert A, Bickenbach J. Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey. Journal of Medical Internet Research 2021;23(3):e26646 View
  6. An J, Seo H, Kim Y, Lee K, Kim S, Kong H. Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform. Healthcare Informatics Research 2021;27(1):82 View
  7. Al Badi F, Alhosani K, Jabeen F, Stachowicz-Stanusch A, Shehzad N, AMANN W. Challenges of AI Adoption in the UAE Healthcare. Vision: The Journal of Business Perspective 2022;26(2):193 View
  8. Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: a structured literature review. BMC Medical Informatics and Decision Making 2021;21(1) View
  9. Shang Z. A Concept Analysis on the Use of Artificial Intelligence in Nursing. Cureus 2021 View
  10. Li L, Zhu H, Zhang Z, Zhao L, Xu L, Jonas R, Garway-Heath D, Jonas J, Wang Y. Neural Network–Based Retinal Nerve Fiber Layer Profile Compensation for Glaucoma Diagnosis in Myopia: Model Development and Validation. JMIR Medical Informatics 2021;9(5):e22664 View
  11. Aktürk C. Bibliometric Analysis of Clinical Decision Support Systems. Acta Informatica Pragensia 2021;10(1):61 View
  12. Chen X, Pan Z. A Convenient and Low-Cost Model of Depression Screening and Early Warning Based on Voice Data Using for Public Mental Health. International Journal of Environmental Research and Public Health 2021;18(12):6441 View
  13. Wang J, Wu S, Guo Q, Lan H, Janne E, Wang L, Zhang J, Wang Q, Song Y, Yang N, Luo X, Zhou Q, Shi Q, Yu X, Ma Y, Mathew J, Ahn H, Lee M, Chen Y. Investigation and evaluation of randomized controlled trials for interventions involving artificial intelligence. Intelligent Medicine 2021;1(2):61 View
  14. Babel A, Taneja R, Mondello Malvestiti F, Monaco A, Donde S. Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases. Frontiers in Digital Health 2021;3 View
  15. Wu H, Zhou Y, Wang Y, Tong L, Wang F, Song S, Xu L, Liu B, Yan H, Sun Z. Current State and Future Directions of Intranasal Delivery Route for Central Nervous System Disorders: A Scientometric and Visualization Analysis. Frontiers in Pharmacology 2021;12 View
  16. Zale A, Lasecke M, Baeza-Hernandez K, Testerman A, Aghakhani S, Muñoz R, Bunge E. Technology and psychotherapeutic interventions: Bibliometric analysis of the past four decades. Internet Interventions 2021;25:100425 View
  17. Wu H, Zhou Y, Xu L, Tong L, Wang Y, Liu B, Yan H, Sun Z. Mapping Knowledge Structure and Research Frontiers of Ultrasound-Induced Blood-Brain Barrier Opening: A Scientometric Study. Frontiers in Neuroscience 2021;15 View
  18. Klimontov V, Berikov V, Saik O. Artificial intelligence in diabetology. Diabetes mellitus 2021;24(2):156 View
  19. Loan F, Bashir B, Nasreen N. Applied artificial intelligence : A bibliometric study of an International Journal. COLLNET Journal of Scientometrics and Information Management 2021;15(1):27 View
  20. AlRyalat S, Al-Ryalat N, Ryalat S. Machine learning in glaucoma: a bibliometric analysis comparing computer science and medical fields’ research. Expert Review of Ophthalmology 2021;16(6):511 View
  21. Ma B, Yang J, Wong F, Wong A, Ma T, Meng J, Zhao Y, Wang Y, Lu Q. Artificial intelligence in elderly healthcare: A scoping review. Ageing Research Reviews 2023;83:101808 View
  22. Shaikh A, Alhashmi S, Khalique N, Khedr A, Raahemifar K, Bukhari S. Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector. DIGITAL HEALTH 2023;9:205520762211492 View
  23. Zhang Y, Liu X, Qiao X, Fan Y. Characteristics and Emerging Trends in Research on rehabilitation robots (2001-2020): A Bibliometric Study (Preprint). Journal of Medical Internet Research 2022 View
  24. Fritsch S, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 2022;8:205520762211167 View
  25. Wu H, Cheng K, Tong L, Wang Y, Yang W, Sun Z. Knowledge structure and emerging trends on osteonecrosis of the femoral head: a bibliometric and visualized study. Journal of Orthopaedic Surgery and Research 2022;17(1) View
  26. Lyu P, Wang Y, Meng Q, Fan P, Ma K, Xiao S, Cao X, Lin G, Dong S. Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis. Frontiers in Oncology 2022;12 View
  27. Ouyang W, Xie W, Xin Z, He H, Wen T, Peng X, Dai P, Yuan Y, Liu F, Chen Y, Luo A. Evolutionary Overview of Consumer Health Informatics: Bibliometric Study on the Web of Science from 1999 to 2019. Journal of Medical Internet Research 2021;23(9):e21974 View
  28. Al-Zubaidy M, Hogg H, Maniatopoulos G, Talks J, Teare M, Keane P, R Beyer F. Stakeholder Perspectives on Clinical Decision Support Tools to Inform Clinical Artificial Intelligence Implementation: Protocol for a Framework Synthesis for Qualitative Evidence. JMIR Research Protocols 2022;11(4):e33145 View
  29. Terry A, Kueper J, Beleno R, Brown J, Cejic S, Dang J, Leger D, McKay S, Meredith L, Pinto A, Ryan B, Stewart M, Zwarenstein M, Lizotte D. Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?. BMC Medical Informatics and Decision Making 2022;22(1) View
  30. Liu Y, Yang C, Chiu P, Lin H, Lo C, Lai A, Chang C, Lee O. Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study. Journal of Medical Internet Research 2021;23(9):e27098 View
  31. Huang K, Zhu J, Xu S, Zhu R, Chen X. Bibliometric and Visualized Analysis of 2011–2020 Publications on Physical Activity Therapy for Diabetes. Frontiers in Medicine 2022;9 View
  32. Svedberg P, Reed J, Nilsen P, Barlow J, Macrae C, Nygren J. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Research Protocols 2022;11(3):e34920 View
  33. BUDAK N. Beşerî Sermaye ve Dijitalin Tematik Dönüşümü: WoS Tabanlı Bir Bibliyometrik Analiz. Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD) 2022;14(27):361 View
  34. Bastian G, Baker G, Limon A. Bridging the divide between data scientists and clinicians. Intelligence-Based Medicine 2022;6:100066 View
  35. Yang K, Hu Y, Qi H. Digital Health Literacy: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(7):e35816 View
  36. Wu H, Cheng K, Guo Q, Yang W, Tong L, Wang Y, Sun Z. Mapping Knowledge Structure and Themes Trends of Osteoporosis in Rheumatoid Arthritis: A Bibliometric Analysis. Frontiers in Medicine 2021;8 View
  37. Monaco F, Coluccia S, Cuomo A, Nocerino D, Schiavo D, Pasta G, Bifulco F, Buonanno P, Riccio V, Leonardi M, Perri F, Ottaiano A, Sabbatino F, Vittori A, Cascella M. Bibliometric and Visual Analysis of the Scientific Literature on Percutaneous Electrical Nerve Stimulation (PENS) for Pain Treatment. Applied Sciences 2023;13(1):636 View
  38. He X, Peng C, Xu Y, Zhang Y, Wang Z. Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis. JMIR Medical Informatics 2022;10(4):e33842 View
  39. Gopinath N. Artificial intelligence and neuroscience: An update on fascinating relationships. Process Biochemistry 2023;125:113 View
  40. Rojas-Flores S, Ramirez-Asis E, Delgado-Caramutti J, Nazario-Naveda R, Gallozzo-Cardenas M, Diaz F, Delfin-Narcizo D. An Analysis of Global Trends from 1990 to 2022 of Microbial Fuel Cells: A Bibliometric Analysis. Sustainability 2023;15(4):3651 View
  41. Cho I, Kim D, Park H. Bibliometrics and Co-Citation Network Analysis of Systematic Reviews of Evidence-Based Nursing Guidelines for Preventing Inpatient Falls. CIN: Computers, Informatics, Nursing 2021;Publish Ahead of Print View
  42. Liu T, Liu X, Li Y, Liu S, Cao C. Evolving Trends and Research Hotspots in Disaster Epidemiology From 1985 to 2020: A Bibliometric Analysis. Frontiers in Public Health 2021;9 View
  43. Hogg H, Brittain K, Teare D, Talks J, Balaskas K, Keane P, Maniatopoulos G. Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study. BMJ Open 2023;13(2):e069443 View
  44. Misnaza Castrillón S, Cruz Rivera E, Parra A, Salas Quijano S, Giraldo Mayorga D, Santana Rodríguez D, Castañeda Orjuela C. Análisis de redes sociales de la red de conocimiento en salud pública del Observatorio Nacional de Salud de Colombia: un análisis de documentos. Gerencia y Políticas de Salud 2022;21 View
  45. Ajami M, Tripathi P, Ling H, Mahdian M. Automated Detection of Cervical Carotid Artery Calcifications in Cone Beam Computed Tomographic Images Using Deep Convolutional Neural Networks. Diagnostics 2022;12(10):2537 View
  46. Xu D, Xu Z. Bibliometric analysis of decision-making in healthcare management from 1998 to 2021. International Journal of Healthcare Management 2022:1 View
  47. ULUKÖK E, MERDAN E. LAISSEZ-FAIRE LEADERSHIP: A MAP OF THE FIELD AND A BIBLIOMETRIC ANALYSIS. Uluslararası Ekonomi, İşletme ve Politika Dergisi 2022 View
  48. Ullah R, Asghar I, Griffiths M. An Integrated Methodology for Bibliometric Analysis: A Case Study of Internet of Things in Healthcare Applications. Sensors 2022;23(1):67 View
  49. Boudry C, Al Hajj H, Arnould L, Mouriaux F. Analysis of international publication trends in artificial intelligence in ophthalmology. Graefe's Archive for Clinical and Experimental Ophthalmology 2022;260(5):1779 View
  50. Wang Y, Li R, Zheng P. Progress in clinical application of artificial intelligence in orthopedics. Digital Medicine 2022;8(1):4 View
  51. Jimma B. Artificial intelligence in healthcare: A bibliometric analysis. Telematics and Informatics Reports 2023;9:100041 View
  52. Emani S, Rui A, Rocha H, Rizvi R, Juaçaba S, Jackson G, Bates D. Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries. JMIR Cancer 2022;8(2):e31461 View
  53. Huang Y, Pao J, Chien T, Lin J, Chou P. Thematic analysis of articles on artificial intelligence with spine trauma, vertebral metastasis, and osteoporosis using chord diagrams: A systematic review and meta-analysis. Medicine 2022;101(52):e32369 View
  54. Soliman M, Fatnassi T, Elgammal I, Figueiredo R. Exploring the Major Trends and Emerging Themes of Artificial Intelligence in the Scientific Leading Journals amidst the COVID-19 Era. Big Data and Cognitive Computing 2023;7(1):12 View
  55. Raymond L, Castonguay A, Doyon O, Paré G. Nurse practitioners' involvement and experience with AI-based health technologies: A systematic review. Applied Nursing Research 2022;66:151604 View
  56. Păduraru O, Moroșanu A, Păduraru C, Cărăușu E. Healthcare Management: A Bibliometric Analysis Based on the Citations of Research Articles Published between 1967 and 2020. Healthcare 2022;10(3):555 View
  57. Tang R, Zhang S, Ding C, Zhu M, Gao Y. Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(11):e42185 View
  58. Radanliev P, De Roure D, Maple C, Santos O. Forecasts on Future Evolution of Artificial Intelligence and Intelligent Systems. IEEE Access 2022;10:45280 View
  59. Kaya E, Üçer H. Tularemia research activity: a bibliometric analysis between 1980 and 2020. Infection 2022;50(6):1507 View
  60. Mesa Fernández J, González Moreno J, Vergara-González E, Alonso Iglesias G. Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects. Applied Sciences 2022;12(22):11743 View
  61. Shi J, Wei S, Gao Y, Mei F, Tian J, Zhao Y, Li Z. Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping. Journal of Nursing Scholarship 2022 View
  62. Khairi S, Bakar M, Bakar S, Rosli N. Deep Learning on Histopathology Images for Breast Cancer Classification: A Bibliometric Analysis. Healthcare 2021;10(1):10 View
  63. Yoon H, Lee H, Yee J, Gwak H. Global Research Trends of Gender-Related Artificial Intelligence in Medicine Between 2001–2020: A Bibliometric Study. Frontiers in Medicine 2022;9 View
  64. Wang B, Yang C, Zhou C, Xiao S, Li H. Knowledge atlas and emerging trends on ncRNAs of osteosarcoma: A bibliometric analysis. Frontiers in Endocrinology 2022;13 View
  65. ULUKÖK E. Mapping the Intellectual Structure of Perceived Overqualification Research: A Co-Keyword and Co-Citation Analysis. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 2022 View
  66. Chen X, Cheng G, Wang F, Tao X, Xie H, Xu L. Machine and cognitive intelligence for human health: systematic review. Brain Informatics 2022;9(1) View
  67. Radanliev P, De Roure D, Walton R, Van Kleek M, Santos O, Maddox L. What Country, University, or Research Institute, Performed the Best on Covid-19 During the First Wave of the Pandemic?. Annals of Data Science 2022;9(5):1049 View
  68. Hernández C, Gil A, Casares I, Poderoso J, Wehse A, Dave S, Lim D, Sánchez-Montañés M, Lage E. Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data. Journal of Optometry 2022;15:S22 View
  69. Kamradt M, Poß-Doering R, Szecsenyi J. Exploring Physician Perspectives on Using Real-world Care Data for the Development of Artificial Intelligence–Based Technologies in Health Care: Qualitative Study. JMIR Formative Research 2022;6(5):e35367 View
  70. Lareyre F, Lê C, Ballaith A, Adam C, Carrier M, Amrani S, Caradu C, Raffort J. Applications of Artificial Intelligence in Non-cardiac Vascular Diseases: A Bibliographic Analysis. Angiology 2022;73(7):606 View
  71. Sun Y, Jiang L, Wen T, Guo X, Shao X, Qu H, Chen X, Song Y, Wang F, Qu X, Li Z. Trends in the Research Into Immune Checkpoint Blockade by Anti-PD1/PDL1 Antibodies in Cancer Immunotherapy: A Bibliometric Study. Frontiers in Pharmacology 2021;12 View
  72. Cheng K, Zhang H, Guo Q, Zhai P, Zhou Y, Yang W, Wang Y, Lu Y, Shen Z, Wu H. Emerging trends and research foci of oncolytic virotherapy for central nervous system tumors: A bibliometric study. Frontiers in Immunology 2022;13 View
  73. Kueper J, Terry A, Bahniwal R, Meredith L, Beleno R, Brown J, Dang J, Leger D, McKay S, Pinto A, Ryan B, Zwarenstein M, Lizotte D. Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation. BMJ Health Care Inform 2022;29(1):e100493 View
  74. Pawassar C, Tiberius V. Virtual Reality in Health Care: Bibliometric Analysis. JMIR Serious Games 2021;9(4):e32721 View
  75. Shen J, Shen H, Ke L, Chen J, Dang X, Liu B, Hua Y. Knowledge Mapping of Immunotherapy for Hepatocellular Carcinoma: A Bibliometric Study. Frontiers in Immunology 2022;13 View
  76. Epizitone A, Moyane S, Agbehadji I. Health Information System and Health Care Applications Performance in the Healthcare Arena: A Bibliometric Analysis. Healthcare 2022;10(11):2273 View
  77. Shao A, Jin K, Li Y, Lou L, Zhou W, Ye J. Overview of global publications on machine learning in diabetic retinopathy from 2011 to 2021: Bibliometric analysis. Frontiers in Endocrinology 2022;13 View
  78. Wu C, Huang C, Wang Y, Islam M, Kung W, Weng Y, Su C. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(6):e35747 View
  79. Herrmann H. The arcanum of artificial intelligence in enterprise applications: Toward a unified framework. Journal of Engineering and Technology Management 2022;66:101716 View
  80. Rouzrokh P, Khosravi B, Vahdati S, Moassefi M, Faghani S, Mahmoudi E, Chalian H, Erickson B. Machine Learning in Cardiovascular Imaging: A Scoping Review of Published Literature. Current Radiology Reports 2022;11(2):34 View
  81. De la Vega Hernández I, Urdaneta A, Carayannis E. Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019. Artificial Intelligence Review 2023;56(2):1699 View
  82. Ruamviboonsuk P, Chantra S, Seresirikachorn K, Ruamviboonsuk V, Sangroongruangsri S. Economic Evaluations of Artificial Intelligence in Ophthalmology. Asia-Pacific Journal of Ophthalmology 2021;10(3):307 View
  83. AYAN B, ABACIOĞLU S. Bibliometric Analysis of the MCDM Methods in the Last Decade: WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS. International Journal of Business and Economic Studies 2022 View
  84. Lepore D, Frontoni E, Micozzi A, Moccia S, Romeo L, Spigarelli F. Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis. Health Policy 2023;127:80 View
  85. Cho B, Geng E, Arvind V, Valliani A, Tang J, Schwartz J, Dominy C, Cho S, Kim J. Understanding Artificial Intelligence and Predictive Analytics. JBJS Reviews 2022;10(3) View
  86. Lans A, Pierik R, Bales J, Fourman M, Shin D, Kanbier L, Rifkin J, DiGiovanni W, Chopra R, Moeinzad R, Verlaan J, Schwab J. Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review. Artificial Intelligence in Medicine 2022;132:102396 View
  87. Ciecierski-Holmes T, Singh R, Axt M, Brenner S, Barteit S. Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review. npj Digital Medicine 2022;5(1) View
  88. Adeoye R, Okaiyeto K, Igunnu A, Oguntibeju O. Systematic mapping of DNAzymes research from 1995 to 2019. Nucleosides, Nucleotides & Nucleic Acids 2022;41(4):384 View
  89. Yeung A, Tosevska A, Klager E, Eibensteiner F, Tsagkaris C, Parvanov E, Nawaz F, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov A. Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature. Journal of Medical Internet Research 2022;24(1):e28152 View
  90. Thayyib P, Mamilla R, Khan M, Fatima H, Asim M, Anwar I, Shamsudheen M, Khan M. State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary. Sustainability 2023;15(5):4026 View
  91. Biberci M. Bibliometric Analysis of the Use of Biodiesel Production from Essential Oils as Biofuels. Processes 2023;11(4):974 View
  92. Tchuente Foguem G, Teguede Keleko A. Artificial intelligence applied in pulmonary hypertension: a bibliometric analysis. AI and Ethics 2023 View
  93. Gonzalez-Argote J, Alonso-Galbán P, Vitón-Castillo A, Lepez C, Castillo-Gonzalez W, Bonardi M, Cano C. Trends in scientific output on artificial intelligence and health in Latin America in Scopus. ICST Transactions on Scalable Information Systems 2023 View
  94. Lin L, Liang L, Wang M, Huang R, Gong M, Song G, Hao T. A bibliometric analysis of worldwide cancer research using machine learning methods. Cancer Innovation 2023 View
  95. Lang X, Liu J, Zhang G, Feng X, Dan W. Knowledge Mapping of Drug Repositioning’s Theme and Development. Drug Design, Development and Therapy 2023;Volume 17:1157 View
  96. Chaurasia A, Namachivayam A, Koca-Ünsal R, Lee J. Deep-learning performance in identifying and classifying dental implant systems from dental imaging: a systematic review and meta-analysis. Journal of Periodontal & Implant Science 2023;53 View
  97. Novak L, Russell R, Garvey K, Patel M, Thomas Craig K, Snowdon J, Miller B. Clinical use of artificial intelligence requires AI-capable organizations. JAMIA Open 2023;6(2) View
  98. Abdelwahab S, Taha M, Mariod A. Thymoquinone-related knowledge (1915–2022): A comprehensive bibliometric analysis. Foods and Raw Materials 2023:309 View
  99. ÇALIŞKAN G, ÇINAROĞLU S. Yapay Zekânın Maliyet Etkililiğini İnceleyen Yayınların Bibliyometrik, Kelime Bulutu ve Duygu Analizi. Bilişim Teknolojileri Dergisi 2023;16(2):151 View

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