Shuang An

1.5k total citations
37 papers, 1.1k citations indexed

About

Shuang An is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shuang An has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Theory and Mathematics, 15 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Shuang An's work include Rough Sets and Fuzzy Logic (29 papers), Data Mining Algorithms and Applications (13 papers) and Imbalanced Data Classification Techniques (7 papers). Shuang An is often cited by papers focused on Rough Sets and Fuzzy Logic (29 papers), Data Mining Algorithms and Applications (13 papers) and Imbalanced Data Classification Techniques (7 papers). Shuang An collaborates with scholars based in China, Hong Kong and Poland. Shuang An's co-authors include Qinghua Hu, Daren Yu, Changzhong Wang, David Zhang, Lei Zhang, Witold Pedrycz, Wei Pan, Ge Guo, Wei Pan and Peijun Ma and has published in prestigious journals such as Expert Systems with Applications, Applied Microbiology and Biotechnology and Frontiers in Plant Science.

In The Last Decade

Shuang An

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shuang An China	17	693	537	377	190	155	37	1.1k
Jin Qian China	17	610 0.9×	452 0.8×	357 0.9×	140 0.7×	212 1.4×	83	1.1k
Jihong Wan China	17	373 0.5×	494 0.9×	217 0.6×	252 1.3×	53 0.3×	37	773
Hongying Zhang China	16	439 0.6×	283 0.5×	180 0.5×	108 0.6×	407 2.6×	49	925
Can Gao China	16	344 0.5×	394 0.7×	182 0.5×	262 1.4×	117 0.8×	65	748
Stephen D. Bay United States	14	178 0.3×	1.1k 2.0×	362 1.0×	157 0.8×	48 0.3×	19	1.5k
Hussein Almuallim Saudi Arabia	7	162 0.2×	687 1.3×	254 0.7×	402 2.1×	28 0.2×	19	1.1k
Peter Korošec Slovenia	17	392 0.6×	649 1.2×	42 0.1×	42 0.2×	84 0.5×	88	975
Cungen Cao China	13	169 0.2×	378 0.7×	93 0.2×	47 0.2×	55 0.4×	89	592
Zhihai Wang China	12	86 0.1×	787 1.5×	294 0.8×	159 0.8×	53 0.3×	47	1.1k
Sedigheh Mahdavi Canada	10	425 0.6×	693 1.3×	50 0.1×	72 0.4×	62 0.4×	20	960

Countries citing papers authored by Shuang An

Since Specialization

Citations

This map shows the geographic impact of Shuang An'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 Shuang An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang An more than expected).

Fields of papers citing papers by Shuang An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuang An. 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 Shuang An. The network helps show where Shuang An may publish in the future.

Co-authorship network of co-authors of Shuang An

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Changzhong, et al.. (2025). A Noise-Aware Weighted Fuzzy Rough Set Model for Feature Selection. IEEE Transactions on Fuzzy Systems. 33(10). 3504–3514.

Wang, Changzhong, Xinyu Cui, & Shuang An. (2025). Neighborhood rough decision tree. Information Sciences. 717. 122266–122266.

Wang, Changzhong, Yang Zhang, Shuang An, & Tingquan Deng. (2025). Adaptive feature selection based on fuzzy rough set fusion model with class variance. Pattern Recognition. 170. 112014–112014.

An, Shuang, Yuhang Gong, Changzhong Wang, & Ge Guo. (2025). Soft-neighborhood based robust fuzzy rough sets for semi-supervised feature selection. Fuzzy Sets and Systems. 513. 109397–109397. 1 indexed citations

Cui, Xinyu, Changzhong Wang, Shuang An, & Yuhua Qian. (2024). Adaptive fuzzy neighborhood decision tree. Applied Soft Computing. 167. 112435–112435. 5 indexed citations

An, Shuang, et al.. (2024). A locally distributed rough set model for feature selection and prototype learning. Fuzzy Sets and Systems. 498. 109137–109137. 2 indexed citations

An, Shuang, Yanan Zhang, & Changzhong Wang. (2024). Relative neighborhood rough feature selection and robust classification for multi-density data. Pattern Recognition. 161. 111303–111303. 2 indexed citations

Wang, Changzhong, et al.. (2024). Feature Selection and Classification Based on Directed Fuzzy Rough Sets. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 699–711. 14 indexed citations

An, Shuang, Mengru Zhang, Changzhong Wang, & Weiping Ding. (2023). Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection. Fuzzy Sets and Systems. 461. 108476–108476. 33 indexed citations

10.

An, Shuang, et al.. (2023). Granularity self-information based uncertainty measure for feature selection and robust classification. Fuzzy Sets and Systems. 470. 108658–108658. 6 indexed citations

11.

An, Shuang, et al.. (2022). A soft neighborhood rough set model and its applications. Information Sciences. 624. 185–199. 34 indexed citations

12.

Li, Yongqiang, Shuang An, Yu Zong, et al.. (2021). Analysis of Evolution, Expression and Genetic Transformation of TCP Transcription Factors in Blueberry Reveal That VcTCP18 Negatively Regulates the Release of Flower Bud Dormancy. Frontiers in Plant Science. 12. 697609–697609. 14 indexed citations

13.

An, Shuang, Qinghua Hu, Changzhong Wang, Ge Guo, & Piyu Li. (2021). Data reduction based on NN-kNN measure for NN classification and regression. International Journal of Machine Learning and Cybernetics. 13(3). 765–781. 13 indexed citations

14.

An, Shuang, et al.. (2021). Relative Fuzzy Rough Approximations for Feature Selection and Classification. IEEE Transactions on Cybernetics. 53(4). 2200–2210. 56 indexed citations

15.

Zhang, Di, Piyu Li, & Shuang An. (2020). N-soft rough sets and its applications. Journal of Intelligent & Fuzzy Systems. 40(1). 565–573. 10 indexed citations

16.

Gao, Chao, Jiali Duan, Pei Zhang, et al.. (2020). [Clinical and genetic analysis of a Chinese pedigree affected with Smith-Lemli-Opitz syndrome].. PubMed. 37(11). 1272–1275. 2 indexed citations

17.

Zhu, Dengna, Ping Li, Jun Wang, et al.. (2017). [Prospective study of ketogenic diet in treatment of children with global developmental delay].. PubMed. 19(10). 1038–1043. 2 indexed citations

18.

An, Shuang, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, & Eric C.C. Tsang. (2015). Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Transactions on Cybernetics. 46(12). 1–13. 64 indexed citations

19.

An, Shuang, Hong Shi, Qinghua Hu, & Jianwu Dang. (2014). Fuzzy Rough Decision Trees. Fundamenta Informaticae. 132(3). 381–399. 1 indexed citations

20.

Zhang, Liang, Min Jin, Zhiqiang Shen, et al.. (2007). Development and application of an oligonucleotide microarray for the detection of food-borne bacterial pathogens. Applied Microbiology and Biotechnology. 76(1). 225–233. 64 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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