Binbin Sang
Impact in
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic
- Information Systems top 2%
- Data Mining Algorithms and Applications
Papers in
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- Rough Sets and Fuzzy Logic 29
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- Data Mining Algorithms and Applications 18
- Co-authors
- Tianrui Li (14 shared papers)Weihua Xu (15 shared papers)Hongmei Chen (10 shared papers)Lei Yang (13 shared papers)Zhong Yuan (7 shared papers)Hongmei Chen (6 shared papers)Jihong Wan (6 shared papers)Xiaoling Yang (3 shared papers)
In The Last Decade
Binbin Sang
28 papers receiving 842 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 690
- Information Systems 398
- Artificial Intelligence 516
- Management Science and Operations Research 134
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Binbin Sang
This map shows the geographic impact of Binbin Sang'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 Binbin Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Sang more than expected).
Fields of papers citing papers by Binbin Sang
This network shows the impact of papers produced by Binbin Sang. 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 Binbin Sang. The network helps show where Binbin Sang may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Sang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 95 | |
| 2 | 2021 | 74 | |
| 3 | 2021 | 67 | |
| 4 | 2021 | 61 | |
| 5 | 2020 | 60 | |
| 6 | 2021 | 59 | |
| 7 | 2021 | 47 | |
| 8 | 2017 | 45 | |
| 9 | 2021 | 40 | |
| 10 | 2020 | 37 | |
| 11 | 2022 | 36 | |
| 12 | 2019 | 34 | |
| 13 | 2021 | 31 | |
| 14 | 2019 | 31 | |
| 15 | 2019 | 23 | |
| 16 | 2021 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2022 | 13 | |
| 20 | 2024 | 10 |
About Binbin Sang
Binbin Sang is a scholar working on Computational Theory and Mathematics, Information Systems, Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 29 papers that have together received 850 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (29 papers), Data Mining Algorithms and Applications (18 papers), Multi-Criteria Decision Making (8 papers), Text and Document Classification Technologies (8 papers), Imbalanced Data Classification Techniques (6 papers), Data Management and Algorithms (4 papers), Advanced Computational Techniques and Applications (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (690 citations), Information Systems (398 citations), Artificial Intelligence (516 citations), Management Science and Operations Research (134 citations) and Computer Vision and Pattern Recognition (149 citations). Binbin Sang has collaborated with scholars based in China, Macao and Taiwan. Frequent co-authors include Tianrui Li, Weihua Xu, Hongmei Chen, Lei Yang, Zhong Yuan, Hongmei Chen, Jihong Wan, Xiaoling Yang, Xiaoyan Zhang and Chuan Luo. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, IEEE Transactions on Fuzzy Systems, International Journal of Approximate Reasoning and International Journal of Machine Learning and Cybernetics.
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.