Binbin Sang

1.1k total citations
29 papers, 850 citations indexed

About

Binbin Sang is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Binbin Sang has authored 29 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Theory and Mathematics, 18 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in Binbin Sang's work include Rough Sets and Fuzzy Logic (29 papers), Data Mining Algorithms and Applications (18 papers) and Text and Document Classification Technologies (8 papers). Binbin Sang is often cited by papers focused on Rough Sets and Fuzzy Logic (29 papers), Data Mining Algorithms and Applications (18 papers) and Text and Document Classification Technologies (8 papers). Binbin Sang collaborates with scholars based in China, Macao and Taiwan. Binbin Sang's co-authors include Tianrui Li, Weihua Xu, Hongmei Chen, Lei Yang, Zhong Yuan, Hongmei Chen, Jihong Wan, Xiaoling Yang, Xiaoyan Zhang and Chuan Luo and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Binbin Sang

28 papers receiving 842 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Binbin Sang 690 516 398 149 134 29 850
Keyu Liu 833 1.2× 728 1.4× 467 1.2× 314 2.1× 120 0.9× 53 1.1k
Xiaoyan Zhang 617 0.9× 312 0.6× 251 0.6× 93 0.6× 241 1.8× 62 726
Yanyan Yang 648 0.9× 434 0.8× 470 1.2× 125 0.8× 121 0.9× 30 789
Guoping Lin 1.1k 1.5× 491 1.0× 496 1.2× 133 0.9× 325 2.4× 39 1.2k
Can Gao 344 0.5× 394 0.8× 182 0.5× 262 1.8× 117 0.9× 65 748
Caihui Liu 560 0.8× 270 0.5× 262 0.7× 72 0.5× 201 1.5× 29 667
Yanting Guo 498 0.7× 285 0.6× 292 0.7× 98 0.7× 117 0.9× 22 578
Tingquan Deng 333 0.5× 260 0.5× 105 0.3× 274 1.8× 198 1.5× 57 731

Countries citing papers authored by Binbin Sang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Binbin Sang

This figure shows the co-authorship network connecting the top 25 collaborators of Binbin Sang. A scholar is included among the top collaborators of Binbin Sang 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 Binbin Sang. Binbin Sang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yin, Tengyu, Hongmei Chen, Zhong Yuan, et al.. (2024). LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection. Engineering Applications of Artificial Intelligence. 133. 108108–108108. 10 indexed citations
2.
Sang, Binbin, et al.. (2024). VCOS: Multi-scale information fusion to feature selection using fuzzy rough combination entropy. Information Fusion. 117. 102901–102901. 1 indexed citations
3.
Wang, Guoyin, et al.. (2023). Interactive fuzzy knowledge distance-guided attribute reduction with three-way accelerator. Knowledge-Based Systems. 279. 110943–110943. 8 indexed citations
4.
Sang, Binbin, et al.. (2022). Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification. IEEE Transactions on Fuzzy Systems. 30(12). 5181–5195. 19 indexed citations
5.
Wan, Jihong, Hongmei Chen, Tianrui Li, Binbin Sang, & Zhong Yuan. (2022). Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space. IEEE Transactions on Fuzzy Systems. 31(1). 213–225. 36 indexed citations
6.
Yang, Lei, et al.. (2022). A novel incremental attribute reduction by using quantitative dominance-based neighborhood self-information. Knowledge-Based Systems. 261. 110200–110200. 13 indexed citations
7.
8.
Yuan, Zhong, Hongmei Chen, Tianrui Li, Xianyong Zhang, & Binbin Sang. (2021). Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 52(8). 5175–5187. 31 indexed citations
9.
Sang, Binbin, Hongmei Chen, Lei Yang, et al.. (2021). Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set. Knowledge-Based Systems. 227. 107223–107223. 47 indexed citations
10.
Yang, Xiaoling, Hongmei Chen, Tianrui Li, Jihong Wan, & Binbin Sang. (2021). Neighborhood rough sets with distance metric learning for feature selection. Knowledge-Based Systems. 224. 107076–107076. 59 indexed citations
11.
Wan, Jihong, Hongmei Chen, Zhong Yuan, et al.. (2021). A novel hybrid feature selection method considering feature interaction in neighborhood rough set. Knowledge-Based Systems. 227. 107167–107167. 74 indexed citations
12.
Sang, Binbin, Hongmei Chen, Lei Yang, Tianrui Li, & Weihua Xu. (2021). Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets. IEEE Transactions on Fuzzy Systems. 30(6). 1683–1697. 95 indexed citations
13.
Yuan, Zhong, Hongmei Chen, Tianrui Li, Binbin Sang, & Shu Wang. (2021). Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data. IEEE Transactions on Cybernetics. 52(8). 8399–8412. 61 indexed citations
14.
Yuan, Zhong, Hongmei Chen, Tianrui Li, et al.. (2021). Unsupervised attribute reduction for mixed data based on fuzzy rough sets. Information Sciences. 572. 67–87. 67 indexed citations
15.
Yang, Lei, Keyun Qin, Binbin Sang, & Weihua Xu. (2021). Dynamic fuzzy neighborhood rough set approach for interval-valued information systems with fuzzy decision. Applied Soft Computing. 111. 107679–107679. 21 indexed citations
16.
Wan, Jihong, Hongmei Chen, Tianrui Li, Xiaoling Yang, & Binbin Sang. (2021). Dynamic interaction feature selection based on fuzzy rough set. Information Sciences. 581. 891–911. 40 indexed citations
17.
Yang, Lei, Weihua Xu, Xiaoyan Zhang, & Binbin Sang. (2020). Multi-granulation method for information fusion in multi-source decision information system. International Journal of Approximate Reasoning. 122. 47–65. 60 indexed citations
18.
Sang, Binbin & Xiaoyan Zhang. (2019). The Approach to Probabilistic Decision-Theoretic Rough Set in Intuitionistic Fuzzy Information Systems. Intelligent Information Management. 12(1). 1–26. 2 indexed citations
19.
Sang, Binbin, Xiaoyan Zhang, & Weihua Xu. (2018). Attribute reduction of relative knowledge granularity in intuitionistic fuzzy ordered decision table. Filomat. 32(5). 1727–1736. 1 indexed citations
20.
Sang, Binbin & Weihua Xu. (2017). Rough membership measure in intuitionistic fuzzy information system. 8. 1241–1246. 1 indexed citations

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.

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