Jin Qian

1.5k total citations · 1 hit paper
83 papers, 1.1k citations indexed

About

Jin Qian is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Jin Qian has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 28 papers in Information Systems. Recurrent topics in Jin Qian's work include Rough Sets and Fuzzy Logic (33 papers), Data Mining Algorithms and Applications (20 papers) and Multi-Criteria Decision Making (10 papers). Jin Qian is often cited by papers focused on Rough Sets and Fuzzy Logic (33 papers), Data Mining Algorithms and Applications (20 papers) and Multi-Criteria Decision Making (10 papers). Jin Qian collaborates with scholars based in China, United States and Canada. Jin Qian's co-authors include Duoqian Miao, Xiaodong Yue, Caihui Liu, Ying Yu, Ping Lv, Wenbin Qian, Chuangyin Dang, Yafei Deng, Rotimi E. Aluko and Pengfei Zhao and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Jin Qian

67 papers receiving 1.0k citations

Hit Papers

Feature selection for multi-label learning based on varia... 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Qian China 17 610 452 357 212 140 83 1.1k
Pingxin Wang China 17 551 0.9× 538 1.2× 259 0.7× 97 0.5× 190 1.4× 83 1.0k
Nouman Azam Canada 14 587 1.0× 499 1.1× 301 0.8× 237 1.1× 107 0.8× 23 885
Shuang An China 17 693 1.1× 537 1.2× 377 1.1× 155 0.7× 190 1.4× 37 1.1k
Libo Zhang China 12 484 0.8× 345 0.8× 179 0.5× 299 1.4× 104 0.7× 48 803
Hongying Zhang China 16 439 0.7× 283 0.6× 180 0.5× 407 1.9× 108 0.8× 49 925
Ch. Aswani Kumar India 15 527 0.9× 548 1.2× 321 0.9× 220 1.0× 111 0.8× 54 1.0k
Lech Polkowski Poland 17 1.1k 1.8× 682 1.5× 585 1.6× 190 0.9× 113 0.8× 74 1.3k
Abdel-Rahman Hedar Egypt 15 566 0.9× 751 1.7× 142 0.4× 74 0.3× 79 0.6× 67 1.2k
Anton Schwaighofer Germany 18 255 0.4× 577 1.3× 229 0.6× 87 0.4× 246 1.8× 36 1.3k
Jinjin Li China 24 1.6k 2.6× 874 1.9× 776 2.2× 484 2.3× 309 2.2× 146 2.0k

Countries citing papers authored by Jin Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jin Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Qian. A scholar is included among the top collaborators of Jin Qian 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 Jin Qian. Jin Qian 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.
Li, Zheng, Xueyan Hu, Jin Qian, et al.. (2025). Self-Supervised Feature Contrastive Learning for Small Weak Object Detection in Remote Sensing. Remote Sensing. 17(8). 1438–1438. 1 indexed citations
2.
Zhao, Tianqi, et al.. (2025). EBDet: Ellipse Feature Encode and Balanced Decoupling Label Assignment for Arbitrary-Oriented Ship Detection in Optical Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 17740–17755.
3.
Yu, Ying, et al.. (2025). Structural feature enhanced transformer for fine-grained image recognition. Pattern Recognition. 169. 111955–111955.
4.
Qian, Jin, et al.. (2024). A dynamic anonymization privacy-preserving model based on hierarchical sequential three-way decisions. Information Sciences. 686. 121316–121316. 3 indexed citations
5.
Qian, Jin, et al.. (2024). Hierarchical Sequential Three-Way Multiattribute Decision-Making Method Based on Regret Theory in Multiscale Fuzzy Decision Systems. IEEE Transactions on Fuzzy Systems. 32(9). 4961–4975. 4 indexed citations
6.
Zhu, Siqing, Jingjing Shi, Jin Qian, et al.. (2023). Mitochondrial dysfunction following repeated administration of alprazolam causes attenuation of hippocampus-dependent memory consolidation in mice. Aging. 15(19). 10428–10452. 4 indexed citations
7.
Qian, Jin, et al.. (2023). Multi-level personalized k-anonymity privacy-preserving model based on sequential three-way decisions. Expert Systems with Applications. 239. 122343–122343. 15 indexed citations
8.
Qian, Wenbin, et al.. (2023). A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning. Knowledge-Based Systems. 278. 110898–110898. 24 indexed citations
9.
Qian, Jin, et al.. (2023). Research on multi-granularity sequential three-way decisions based on the fuzzy T-equivalence relation. Applied Soft Computing. 149. 110980–110980. 5 indexed citations
10.
Qian, Jin, et al.. (2023). A TOPSIS method based on sequential three-way decision. Applied Intelligence. 53(24). 30661–30676. 7 indexed citations
11.
Qian, Wenbin, et al.. (2023). Partial multi-label learning via three-way decision-based tri-training. Knowledge-Based Systems. 276. 110743–110743. 13 indexed citations
12.
Liu, Caihui, et al.. (2020). Novel matrix-based approaches to computing minimal and maximal descriptions in covering-based rough sets. Information Sciences. 539. 312–326. 11 indexed citations
13.
Qian, Jin, Caihui Liu, Duoqian Miao, & Xiaodong Yue. (2019). Sequential three-way decisions via multi-granularity. Information Sciences. 507. 606–629. 87 indexed citations
14.
Qian, Jin, Caihui Liu, & Xiaodong Yue. (2018). Multigranulation sequential three-way decisions based on multiple thresholds. International Journal of Approximate Reasoning. 105. 396–416. 58 indexed citations
15.
Qian, Jin, et al.. (2017). Attribute reduction for sequential three-way decisions under dynamic granulation. International Journal of Approximate Reasoning. 85. 196–216. 64 indexed citations
16.
Qian, Jin, Min Xia, & Xiaodong Yue. (2017). Parallel knowledge acquisition algorithms for big data using MapReduce. International Journal of Machine Learning and Cybernetics. 9(6). 1007–1021. 14 indexed citations
17.
Chen, Huan, Qi Zhang, Jin Qian, & Xuanjing Huang. (2013). Chinese Named Entity Abbreviation Generation Using First-Order Logic. International Joint Conference on Natural Language Processing. 320–328. 1 indexed citations
18.
Qian, Jin. (2013). Parallel Algorithm Model for Knowledge Reduction Using MapReduce. Jisuanji kexue yu tansuo. 2 indexed citations
19.
Qian, Jin. (2011). The Comparison of Allotment Garden in Europe and Community Garden in the United States. Xiandai chengshi yanjiu. 1 indexed citations
20.
Lv, Ping, et al.. (2010). Fast attribute reduction algorithm based on discernibility matrices. Computer Engineering and Applications Journal. 46(20). 164–167. 2 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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