Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers
AIM: To analyze research hotspots and trends of artificial intelligence in diabetic retinopathy(DR)based on bibliometrics and high-impact papers.METHODS: Papers on artificial intelligence in DR research published in the Web of Science Core Collection(WoSCC)from January 1, 2012, to December 31, 2022...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Press of International Journal of Ophthalmology (IJO PRESS)
2023-11-01
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| Series: | Guoji Yanke Zazhi |
| Subjects: | |
| Online Access: | http://ies.ijo.cn/cn_publish/2023/11/202311007.pdf |
| _version_ | 1797652599730601984 |
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| author | Ruo-Yu Wang Wang-Ting Li Shao-Chong Zhang Wei-Hua Yang |
| author_facet | Ruo-Yu Wang Wang-Ting Li Shao-Chong Zhang Wei-Hua Yang |
| author_sort | Ruo-Yu Wang |
| collection | DOAJ |
| description | AIM: To analyze research hotspots and trends of artificial intelligence in diabetic retinopathy(DR)based on bibliometrics and high-impact papers.METHODS: Papers on artificial intelligence in DR research published in the Web of Science Core Collection(WoSCC)from January 1, 2012, to December 31, 2022 were retrieved. The data was analyzed by CiteSpace software to examine annual publication number, countries, institutions, source journal, research categories, keywords, and to perform an in-depth analysis of high-impact papers.RESULTS: A total of 1 009 papers on artificial intelligence in DR from 79 countries were included in the study, with 272 papers published in 2022. Notably, China and India contributed 287 and 234 papers, respectively. The United Kingdom exhibited a centrality score of 0.31, while the United States boasted an impressive H-index of 48. Three prominent institutions in the United Kingdom(University of London, Moorfields Eye Hospital, and University College London)and one institution in Egypt(Egyptian Knowledge Bank)all achieved a notable H-index of 14. The primary academic disciplines associated with this research field encompassed ophthalmology, computer science, and artificial intelligence. Burst keywords in the years 2021～2022 included transfer learning, vessel segmentation, and convolutional neural networks.CONCLUSION: China emerged as the leading contributor in terms of publication number in this field, while the United States stood out as a key player. Notably, Egyptian Knowledge Bank and University of London assumed leading roles among research institutions. Additionally, IEEE Access was identified as the most active journal within this domain. The research focus in the field of artificial intelligence in DR has transitioned from AI applications in disease detection and grading to a more concentrated exploration of AI-assisted diagnostic systems. Transfer learning, vessel segmentation, and convolutional neural networks hold substantial promise for widespread applications in this field. |
| first_indexed | 2024-03-11T16:31:18Z |
| format | Article |
| id | doaj.art-85eec9d8588245a7a6be972e3236ecb3 |
| institution | Directory Open Access Journal |
| issn | 1672-5123 |
| language | English |
| last_indexed | 2024-03-11T16:31:18Z |
| publishDate | 2023-11-01 |
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) |
| record_format | Article |
| series | Guoji Yanke Zazhi |
| spelling | doaj.art-85eec9d8588245a7a6be972e3236ecb32023-10-24T02:34:26ZengPress of International Journal of Ophthalmology (IJO PRESS)Guoji Yanke Zazhi1672-51232023-11-0123111803181010.3980/j.issn.1672-5123.2023.11.07202311007Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papersRuo-Yu Wang0Wang-Ting Li1Shao-Chong Zhang2Wei-Hua Yang3The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing 210029, Jiangsu Province, ChinaShenzhen Eye Hospital;Shenzhen Eye Institute, Shenzhen 518040, Guangdong Province, ChinaShenzhen Eye Hospital;Shenzhen Eye Institute, Shenzhen 518040, Guangdong Province, ChinaShenzhen Eye Hospital;Shenzhen Eye Institute, Shenzhen 518040, Guangdong Province, ChinaAIM: To analyze research hotspots and trends of artificial intelligence in diabetic retinopathy(DR)based on bibliometrics and high-impact papers.METHODS: Papers on artificial intelligence in DR research published in the Web of Science Core Collection(WoSCC)from January 1, 2012, to December 31, 2022 were retrieved. The data was analyzed by CiteSpace software to examine annual publication number, countries, institutions, source journal, research categories, keywords, and to perform an in-depth analysis of high-impact papers.RESULTS: A total of 1 009 papers on artificial intelligence in DR from 79 countries were included in the study, with 272 papers published in 2022. Notably, China and India contributed 287 and 234 papers, respectively. The United Kingdom exhibited a centrality score of 0.31, while the United States boasted an impressive H-index of 48. Three prominent institutions in the United Kingdom(University of London, Moorfields Eye Hospital, and University College London)and one institution in Egypt(Egyptian Knowledge Bank)all achieved a notable H-index of 14. The primary academic disciplines associated with this research field encompassed ophthalmology, computer science, and artificial intelligence. Burst keywords in the years 2021～2022 included transfer learning, vessel segmentation, and convolutional neural networks.CONCLUSION: China emerged as the leading contributor in terms of publication number in this field, while the United States stood out as a key player. Notably, Egyptian Knowledge Bank and University of London assumed leading roles among research institutions. Additionally, IEEE Access was identified as the most active journal within this domain. The research focus in the field of artificial intelligence in DR has transitioned from AI applications in disease detection and grading to a more concentrated exploration of AI-assisted diagnostic systems. Transfer learning, vessel segmentation, and convolutional neural networks hold substantial promise for widespread applications in this field.http://ies.ijo.cn/cn_publish/2023/11/202311007.pdfartificial intelligencediabetic retinopathybibliometricscitespacedeep learninghotspotstrends |
| spellingShingle | Ruo-Yu Wang Wang-Ting Li Shao-Chong Zhang Wei-Hua Yang Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers Guoji Yanke Zazhi artificial intelligence diabetic retinopathy bibliometrics citespace deep learning hotspots trends |
| title | Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers |
| title_full | Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers |
| title_fullStr | Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers |
| title_full_unstemmed | Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers |
| title_short | Research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high-impact papers |
| title_sort | research hotspots and trends of artificial intelligence in diabetic retinopathy based on bibliometrics and high impact papers |
| topic | artificial intelligence diabetic retinopathy bibliometrics citespace deep learning hotspots trends |
| url | http://ies.ijo.cn/cn_publish/2023/11/202311007.pdf |
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