Ji‐Jiang Yang
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Ophthalmology top 1%
- Artificial Intelligence top 2%
- Information Systems top 5%
- Co-authors
- Jianqiang LiQinyan ZhangQing WangHui PanLihui PengShi ChenYan PeiAzhar Imran
- Topics
- Retinal Imaging and Analysis (15 papers)Digital Imaging for Blood Diseases (11 papers)Glaucoma and retinal disorders (11 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ji‐Jiang Yang
67 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Radiology, Nuclear Medicine and Imaging 723
- Computer Vision and Pattern Recognition 529
- Ophthalmology 495
- Artificial Intelligence 476
- Information Systems 258
Countries citing papers authored by Ji‐Jiang Yang
This map shows the geographic impact of Ji‐Jiang Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ji‐Jiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Jiang Yang more than expected).
Fields of papers citing papers by Ji‐Jiang Yang
This network shows the impact of papers produced by Ji‐Jiang Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ji‐Jiang Yang. The network helps show where Ji‐Jiang Yang may publish in the future.
Co-authorship network of co-authors of Ji‐Jiang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Jiang Yang. A scholar is included among the top collaborators of Ji‐Jiang Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji‐Jiang Yang. Ji‐Jiang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosisbreakdown → | 62 |
| 4 | 0 | |
| 5 | 25 | |
| 6 | 19 | |
| 7 | 18 | |
| 8 | 41st IEEE Annual Computer Software and Applications Conference. 2 | 2 |
| 9 | 21 | |
| 10 | 126 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | E-government Maturity Model and Its Evaluation | 1 |
| 20 | Dynamic Business Process Modeling and Verification for inter-organizational Collaboration | 1 |
About Ji‐Jiang Yang
Ji‐Jiang Yang is a scholar working on Ophthalmology, Health Information Management and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (15 papers), Digital Imaging for Blood Diseases (11 papers) and Glaucoma and retinal disorders (11 papers). The work is most often cited by research in Ophthalmology (495 citations), Radiology, Nuclear Medicine and Imaging (723 citations) and Computer Vision and Pattern Recognition (529 citations). Ji‐Jiang Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianqiang Li, Qinyan Zhang, Qing Wang, Hui Pan, Lihui Peng, Shi Chen, Jianqiang Li, Yan Pei, Azhar Imran and Yongcai Wang. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.