Tianrui Li

25.9k total citations · 7 hit papers
767 papers, 17.7k citations indexed

About

Tianrui Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tianrui Li has authored 767 papers receiving a total of 17.7k indexed citations (citations by other indexed papers that have themselves been cited), including 321 papers in Artificial Intelligence, 221 papers in Computational Theory and Mathematics and 193 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tianrui Li's work include Rough Sets and Fuzzy Logic (210 papers), Data Mining Algorithms and Applications (132 papers) and Face and Expression Recognition (98 papers). Tianrui Li is often cited by papers focused on Rough Sets and Fuzzy Logic (210 papers), Data Mining Algorithms and Applications (132 papers) and Face and Expression Recognition (98 papers). Tianrui Li collaborates with scholars based in China, Taiwan and United States. Tianrui Li's co-authors include Dun Liu, Hongmei Chen, Chuan Luo, Junbo Zhang, Shi‐Jinn Horng, Hamido Fujita, Yan Yang, Shengdong Du, Da Ruan and Xin Yang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Tianrui Li

690 papers receiving 17.3k citations

Hit Papers

Predicting citywide crowd... 2018 2026 2020 2023 2018 2022 2020 2019 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianrui Li China 67 7.3k 6.7k 4.9k 3.6k 2.1k 767 17.7k
Hamido Fujita Japan 82 9.0k 1.2× 4.7k 0.7× 3.6k 0.7× 2.9k 0.8× 4.5k 2.2× 439 22.6k
Ajith Abraham United States 77 11.3k 1.5× 3.4k 0.5× 3.4k 0.7× 3.5k 1.0× 1.3k 0.6× 947 25.7k
Laith Abualigah Jordan 70 12.9k 1.8× 4.5k 0.7× 2.5k 0.5× 3.8k 1.1× 1.1k 0.5× 612 26.4k
Jerry Chun‐Wei Lin Norway 54 5.8k 0.8× 3.2k 0.5× 6.0k 1.2× 1.1k 0.3× 666 0.3× 569 12.4k
Xindong Wu China 67 14.2k 1.9× 2.3k 0.3× 6.3k 1.3× 9.5k 2.7× 1.3k 0.6× 655 28.3k
Chengqi Zhang China 56 6.6k 0.9× 1.3k 0.2× 2.9k 0.6× 2.6k 0.7× 875 0.4× 616 15.3k
Qinghua Hu China 68 8.7k 1.2× 6.2k 0.9× 4.0k 0.8× 9.3k 2.6× 1.5k 0.7× 431 23.1k
Weiping Ding China 52 5.3k 0.7× 2.9k 0.4× 1.8k 0.4× 2.9k 0.8× 1.6k 0.7× 587 11.6k
Jie Lü Australia 67 6.8k 0.9× 1.2k 0.2× 4.2k 0.8× 2.3k 0.6× 2.7k 1.3× 631 16.8k
Mohamed Abd Elaziz Egypt 77 11.6k 1.6× 3.4k 0.5× 1.5k 0.3× 3.4k 1.0× 857 0.4× 438 24.3k

Countries citing papers authored by Tianrui Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianrui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianrui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tianrui Li. A scholar is included among the top collaborators of Tianrui Li 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 Tianrui Li. Tianrui Li 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
2.
Chen, Hongmei, Tengyu Yin, Zhong Yuan, et al.. (2025). Graph diffusion with dual-distance metrics for missing multi-label feature selection. Expert Systems with Applications. 271. 126662–126662. 1 indexed citations
3.
He, Xinjian, Yuyang Chen, Haoran Sun, et al.. (2025). Plant-mimicking biodegradable nanofibers for enhanced PM capturing and AI-assisted high-accuracy respiratory diagnosis. Separation and Purification Technology. 361. 131459–131459. 10 indexed citations
4.
Zhang, Fan, et al.. (2025). Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective. Information Sciences. 706. 121996–121996. 1 indexed citations
5.
Li, Tianrui, et al.. (2024). Research on foldable two-matrix 3D braided composites: Manufacturing and bending progressive damage. Composites Science and Technology. 252. 110637–110637. 5 indexed citations
6.
Chen, Hongmei, et al.. (2024). Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning. Information Sciences. 688. 121396–121396. 2 indexed citations
7.
Yang, Yan, et al.. (2024). CiteNet: Cross-modal incongruity perception network for multimodal sentiment prediction. Knowledge-Based Systems. 295. 111848–111848. 7 indexed citations
8.
Guo, Ziyu, et al.. (2024). Transformer-based vision-language alignment for robot navigation and question answering. Information Fusion. 108. 102351–102351. 9 indexed citations
9.
Chen, Hongmei, et al.. (2024). Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness. Information Sciences. 666. 120454–120454. 2 indexed citations
10.
Zhao, Heng, Tianrui Li, Miaomiao Zhang, et al.. (2024). Enhanced removal of Pb2+ and Congo red from aqueous solutions using hierarchically porous melamine sponge/polyvinyl alcohol/Zr-MOF composites. Journal of environmental chemical engineering. 12(2). 112361–112361. 14 indexed citations
11.
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
12.
Li, Tianrui, et al.. (2024). Encoding global semantic and localized geographic spatial-temporal relations for traffic accident risk prediction. Information Sciences. 697. 121767–121767. 1 indexed citations
13.
Wang, Jie, et al.. (2023). Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection. Information Fusion. 103. 102132–102132. 18 indexed citations
14.
Diallo, Bassoma, Jie Hu, Tianrui Li, et al.. (2023). Auto-attention mechanism for multi-view deep embedding clustering. Pattern Recognition. 143. 109764–109764. 34 indexed citations
16.
Li, Tianrui, et al.. (2023). Linear dimensionality reduction method based on topological properties. Information Sciences. 624. 493–511. 3 indexed citations
17.
Yang, Yong, et al.. (2023). Multi-label feature selection based on stable label relevance and label-specific features. Information Sciences. 648. 119525–119525. 21 indexed citations
18.
Wang, Dexian, Tianrui Li, Ping Deng, et al.. (2022). A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering. IEEE Transactions on Big Data. 9(1). 328–340. 56 indexed citations
19.
Zhang, Yulun, et al.. (2022). Single MR image super-resolution via channel splitting and serial fusion network. Knowledge-Based Systems. 246. 108669–108669. 19 indexed citations
20.
Chen, Hongmei, Tianrui Li, & Da Ruan. (2012). Dynamic maintenance of approximations under a rough-set based variable precision limited tolerance relation. Ghent University Academic Bibliography (Ghent University). 12 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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