Bei Yang
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Topics
- AI in cancer detection (4 papers)Sentiment Analysis and Opinion Mining (3 papers)Data Mining Algorithms and Applications (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bei Yang
34 papers receiving 475 citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 155
- Molecular Biology 136
- Computational Theory and Mathematics 89
- Radiology, Nuclear Medicine and Imaging 62
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Bei Yang
This map shows the geographic impact of Bei 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 Bei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Yang more than expected).
Fields of papers citing papers by Bei Yang
This network shows the impact of papers produced by Bei 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 Bei Yang. The network helps show where Bei Yang may publish in the future.
Co-authorship network of co-authors of Bei Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Bei Yang. A scholar is included among the top collaborators of Bei 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 Bei Yang. Bei 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 | 3 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 47 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 12 | |
| 10 | 55 | |
| 11 | 15 | |
| 12 | 49 | |
| 13 | 109 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 15 | |
| 17 | Mining Top-K Significant Itemsets in Landmark Windows over Data Streams | 2 |
| 18 | 11 | |
| 19 | 1 | |
| 20 | An Improved Particle Swarm Optimization Algorithm | 14 |
About Bei Yang
Bei Yang is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 35 papers that have together received 494 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (89 citations), Artificial Intelligence (155 citations) and Health Information Management (19 citations). Bei Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ping Gong, Chaoyang Zhang, Zhaoxian Zhou, Huixiao Hong, Andrew Maxwell, Runzhi Li, Aihua Ou, Heng Weng, Bingyi Wang and Yanbu Guo. Their work appears in journals such as Expert Systems with Applications, BMC Bioinformatics and Medical Physics.
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.