Yaojin Lin

4.3k total citations · 2 hit papers
102 papers, 3.3k citations indexed

About

Yaojin Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Yaojin Lin has authored 102 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 49 papers in Computer Vision and Pattern Recognition and 42 papers in Computational Theory and Mathematics. Recurrent topics in Yaojin Lin's work include Text and Document Classification Technologies (56 papers), Rough Sets and Fuzzy Logic (40 papers) and Image Retrieval and Classification Techniques (24 papers). Yaojin Lin is often cited by papers focused on Text and Document Classification Technologies (56 papers), Rough Sets and Fuzzy Logic (40 papers) and Image Retrieval and Classification Techniques (24 papers). Yaojin Lin collaborates with scholars based in China, United States and Italy. Yaojin Lin's co-authors include Jinghua Liu, Qinghua Hu, Jinkun Chen, Shaozi Li, Jinjin Li, Yuwen Li, Shunxiang Wu, Xindong Wu, Jie Duan and Jia Zhang and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Yaojin Lin

95 papers receiving 3.2k citations

Hit Papers

A Fitting Model for Feature Selection With Fuzzy Rough Sets 2016 2026 2019 2022 2016 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Fitting Model for Feature Selection With Fuzzy Rough Sets
    2016 217 citations Qinghua Hu, Yaojin Lin et al. profile →
  2. Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
    2021 156 citations Weiping Ding, Yaojin Lin et al. Information Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaojin Lin China 32 2.2k 1.5k 1.4k 1.1k 288 102 3.3k
Jiucheng Xu China 27 1.5k 0.7× 766 0.5× 1.4k 1.0× 770 0.7× 275 1.0× 113 2.7k
Xin Yang China 25 1.1k 0.5× 1.1k 0.8× 934 0.7× 512 0.5× 43 0.1× 88 2.8k
Chuan Luo China 31 1.4k 0.6× 506 0.3× 2.0k 1.5× 1.3k 1.1× 54 0.2× 97 2.8k
Ran Wang China 28 1.5k 0.7× 614 0.4× 485 0.4× 270 0.2× 100 0.3× 88 2.4k
Xibei Yang China 38 2.1k 1.0× 716 0.5× 3.1k 2.3× 1.6k 1.4× 315 1.1× 192 4.4k
Eric C.C. Tsang China 37 2.3k 1.0× 743 0.5× 3.1k 2.3× 1.5k 1.4× 93 0.3× 160 4.7k
Weihua Xu China 38 2.2k 1.0× 833 0.6× 3.8k 2.8× 1.7k 1.5× 115 0.4× 185 4.8k
Yi-Dong Shen China 22 1.2k 0.5× 959 0.7× 283 0.2× 453 0.4× 93 0.3× 86 2.0k
Qinghua Zhang China 28 908 0.4× 285 0.2× 1.3k 1.0× 684 0.6× 43 0.1× 151 2.4k

Countries citing papers authored by Yaojin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yaojin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaojin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yaojin Lin. A scholar is included among the top collaborators of Yaojin Lin 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 Yaojin Lin. Yaojin Lin 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.
Wang, Chenxi, et al.. (2025). Hierarchical feature selection via joint local label enhancement and neighborhood label distribution correlation. Knowledge-Based Systems. 311. 113123–113123.
2.
Lin, Yaojin, et al.. (2025). Partial multi-label feature selection based on label distribution learning. Pattern Recognition. 164. 111523–111523.
3.
Lin, Zilong, Yaojin Lin, Chenxi Wang, & Jinkun Chen. (2025). Mutable hierarchy feature selection based on generalized fuzzy rough sets. Applied Soft Computing. 177. 113233–113233. 1 indexed citations
4.
Lin, Yaojin, et al.. (2024). Multi-label feature selection via similarity constraints with non-negative matrix factorization. Knowledge-Based Systems. 297. 111948–111948. 16 indexed citations
5.
Wang, Chenxi, et al.. (2024). Online streaming feature selection based on hierarchical structure information. Concurrency and Computation Practice and Experience. 36(16). 2 indexed citations
6.
Shu, Tongxin, et al.. (2024). Online hierarchical streaming feature selection based on adaptive neighborhood rough set. Applied Soft Computing. 152. 111276–111276. 12 indexed citations
7.
Guo, Wenzhong, et al.. (2024). Label distribution feature selection based on neighborhood rough set. Concurrency and Computation Practice and Experience. 36(23).
8.
Chen, Jinkun, et al.. (2024). A four-stage branch local search algorithm for minimal test cost attribute reduction based on the set covering. Applied Soft Computing. 153. 111303–111303. 3 indexed citations
9.
Lin, Yaojin, et al.. (2023). Multi-label feature selection based on correlation label enhancement. Information Sciences. 647. 119526–119526. 25 indexed citations
10.
Lin, Yaojin, et al.. (2023). Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations. IEEE Transactions on Big Data. 10(3). 275–287. 5 indexed citations
11.
Wang, Chenxi, et al.. (2023). Online feature selection for hierarchical classification learning based on improved ReliefF. Concurrency and Computation Practice and Experience. 35(27). 2 indexed citations
12.
Lin, Yaojin, et al.. (2023). Semantic-gap-oriented feature selection in hierarchical classification learning. Information Sciences. 642. 119241–119241. 7 indexed citations
13.
Luo, Zhiming, Fengxiang Yang, Donglin Cao, et al.. (2023). Cross-Modality Earth Mover’s Distance for Visible Thermal Person Re-identification. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1631–1639. 23 indexed citations
14.
Liu, Jinghua, et al.. (2023). Multi-label feature selection via joint label enhancement and pairwise label correlations. International Journal of Machine Learning and Cybernetics. 14(11). 3943–3964. 2 indexed citations
15.
Du, Guodong, Jia Zhang, Min Jiang, et al.. (2021). Graph-Based Class-Imbalance Learning With Label Enhancement. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6081–6095. 50 indexed citations
16.
Chen, Jinkun, et al.. (2018). A fast attribute reduction method for large formal decision contexts. International Journal of Approximate Reasoning. 106. 1–17. 31 indexed citations
17.
Wang, Chenxi, et al.. (2016). Feature selection algorithm based on nearest-neighbor mutual information. 52(18). 78.
18.
Lin, Yaojin, et al.. (2016). Influential Neighbor Selection in Collaborative Filtering. Beijing Youdian Xueyuan xuebao. 39(1). 29. 1 indexed citations
19.
Lin, Yaojin, Qinghua Hu, Jia Zhang, & Xindong Wu. (2016). Multi-label feature selection with streaming labels. Information Sciences. 372. 256–275. 62 indexed citations
20.
Tan, Anhui, Jinjin Li, Yaojin Lin, & Guoping Lin. (2015). Matrix-based set approximations and reductions in covering decision information systems. International Journal of Approximate Reasoning. 59. 68–80. 44 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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