Bingru Yang
Impact in
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- Rough Sets and Fuzzy Logic
- Computational Drug Discovery Methods
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
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- Advanced Computational Techniques and Applications 21
- Natural Language Processing Techniques 6
- Cognitive Computing and Networks 5
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- Data Mining Algorithms and Applications 27
- Co-authors
- Wei Song (13 shared papers)Qi Li (4 shared papers)Liang Chen (4 shared papers)Changqing Shen (4 shared papers)Wenbin Qian (7 shared papers)Weiwei Fang (4 shared papers)Zhongkui Zhu (1 shared paper)Ying Zhou (2 shared papers)
In The Last Decade
Bingru Yang
76 papers receiving 471 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 172
- Information Systems 197
- Artificial Intelligence 236
- Signal Processing 49
- Control and Systems Engineering 77
Countries citing papers authored by Bingru Yang
This map shows the geographic impact of Bingru 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 Bingru Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingru Yang more than expected).
Fields of papers citing papers by Bingru Yang
This network shows the impact of papers produced by Bingru 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 Bingru Yang. The network helps show where Bingru Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingru Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 88 | |
| 2 | 2019 | 52 | |
| 3 | 2010 | 32 | |
| 4 | 2011 | 29 | |
| 5 | 2008 | 23 | |
| 6 | 2010 | 22 | |
| 7 | 2010 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2010 | 13 | |
| 10 | 2008 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2008 | 11 | |
| 13 | 2005 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2008 | 8 | |
| 16 | 2015 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2008 | 6 | |
| 20 | 2003 | 5 |
About Bingru Yang
Bingru Yang is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Signal Processing and Control and Systems Engineering, having authored 84 papers that have together received 522 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (27 papers), Rough Sets and Fuzzy Logic (26 papers), Advanced Computational Techniques and Applications (21 papers), Data Management and Algorithms (8 papers), Machine Learning in Bioinformatics (8 papers), Protein Structure and Dynamics (6 papers), Natural Language Processing Techniques (6 papers) and Cognitive Computing and Networks (5 papers). The work is most often cited by research in Computational Theory and Mathematics (172 citations), Information Systems (197 citations), Artificial Intelligence (236 citations), Signal Processing (49 citations) and Control and Systems Engineering (77 citations). Bingru Yang has collaborated with scholars based in China and Taiwan. Frequent co-authors include Wei Song, Qi Li, Liang Chen, Changqing Shen, Wenbin Qian, Weiwei Fang, Zhongkui Zhu, Ying Zhou, Fan Zhang and Linna Li. Their work appears in journals such as International Journal of Advancements in Computing Technology, Expert Systems with Applications, The International Journal of Advanced Manufacturing Technology, Knowledge-Based Systems and Optimization Letters.
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.