Zengqiang Yan
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Ophthalmology top 1%
- Artificial Intelligence top 5%
- Neurology top 10%
- Co-authors
- Kwang‐Ting ChengXin YangLi YuXian LinZhiwei WangDong ZhangLixin FanYang Liu
- Topics
- Advanced Neural Network Applications (9 papers)Brain Tumor Detection and Classification (7 papers)AI in cancer detection (7 papers)
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Biomedical Engineering
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zengqiang Yan
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 725
- Computer Vision and Pattern Recognition 647
- Ophthalmology 420
- Artificial Intelligence 314
- Neurology 108
Countries citing papers authored by Zengqiang Yan
This map shows the geographic impact of Zengqiang Yan'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 Zengqiang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zengqiang Yan more than expected).
Fields of papers citing papers by Zengqiang Yan
This network shows the impact of papers produced by Zengqiang Yan. 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 Zengqiang Yan. The network helps show where Zengqiang Yan may publish in the future.
Co-authorship network of co-authors of Zengqiang Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Zengqiang Yan. A scholar is included among the top collaborators of Zengqiang Yan 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 Zengqiang Yan. Zengqiang Yan 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 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 42 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 19 | |
| 12 | 37 | |
| 13 | 17 | |
| 14 | 16 | |
| 15 | 12 | |
| 16 | 0 | |
| 17 | 7 | |
| 18 | 17 | |
| 19 | Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentationbreakdown → | 313 |
| 20 | 43 |
About Zengqiang Yan
Zengqiang Yan is a scholar working on Computer Vision and Pattern Recognition, Neurology and Health Informatics, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Brain Tumor Detection and Classification (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Ophthalmology (420 citations), Computer Vision and Pattern Recognition (647 citations) and Radiology, Nuclear Medicine and Imaging (725 citations). Zengqiang Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kwang‐Ting Cheng, Xin Yang, Li Yu, Xian Lin, Zhiwei Wang, Dong Zhang, Lixin Fan, Yang Liu, Qiong Liu and You Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.