Yidong Chai
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Ophthalmology top 5%
- Co-authors
- Hongyan LiuJie XuSagar SamtaniHsinchun ChenYuanchun JiangWeifeng LiMohammadreza EbrahimiYang Qian
- Topics
- Misinformation and Its Impacts (5 papers)Sentiment Analysis and Opinion Mining (5 papers)Digital Imaging for Blood Diseases (5 papers)
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEuropean Journal of Operational ResearchMIS Quarterly
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yidong Chai
36 papers receiving 475 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 180
- Radiology, Nuclear Medicine and Imaging 142
- Computer Vision and Pattern Recognition 125
- Information Systems 105
- Ophthalmology 92
Countries citing papers authored by Yidong Chai
This map shows the geographic impact of Yidong Chai'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 Yidong Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yidong Chai more than expected).
Fields of papers citing papers by Yidong Chai
This network shows the impact of papers produced by Yidong Chai. 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 Yidong Chai. The network helps show where Yidong Chai may publish in the future.
Co-authorship network of co-authors of Yidong Chai
This figure shows the co-authorship network connecting the top 25 collaborators of Yidong Chai. A scholar is included among the top collaborators of Yidong Chai 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 Yidong Chai. Yidong Chai 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 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 27 | |
| 15 | 18 | |
| 16 | 30 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Towards Deep Learning Interpretability: A Topic Modeling Approach | 5 |
| 20 | Extracting Visual Words from Images for Effective Medical Image Analysis | 2 |
About Yidong Chai
Yidong Chai is a scholar working on General Social Sciences, Signal Processing and Artificial Intelligence, having authored 39 papers that have together received 497 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Ophthalmology (92 citations), Computer Vision and Pattern Recognition (125 citations) and Radiology, Nuclear Medicine and Imaging (142 citations). Yidong Chai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongyan Liu, Jie Xu, Sagar Samtani, Hsinchun Chen, Yuanchun Jiang, Weifeng Li, Mohammadreza Ebrahimi, Yang Qian, Shuo Yu and Jay F. Nunamaker. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, European Journal of Operational Research and MIS Quarterly.
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.