Feijiang Li

1.1k total citations
32 papers, 859 citations indexed

About

Feijiang Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Feijiang Li has authored 32 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Feijiang Li's work include Face and Expression Recognition (9 papers), Advanced Clustering Algorithms Research (9 papers) and Electromagnetic Fields and Biological Effects (4 papers). Feijiang Li is often cited by papers focused on Face and Expression Recognition (9 papers), Advanced Clustering Algorithms Research (9 papers) and Electromagnetic Fields and Biological Effects (4 papers). Feijiang Li collaborates with scholars based in China, Hong Kong and United States. Feijiang Li's co-authors include Yuhua Qian, Jieting Wang, Jiye Liang, Chuangyin Dang, Da Jing, Guanghao Shen, Chi Tang, Kangning Xie, Maogang Jiang and Erping Luo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bone and Mineral Research.

In The Last Decade

Feijiang Li

29 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feijiang Li China 16 280 162 157 151 132 32 859
Ahmet Saçan United States 20 262 0.9× 687 4.2× 54 0.3× 131 0.9× 10 0.1× 57 1.7k
Yonggwan Won South Korea 13 324 1.2× 115 0.7× 26 0.2× 140 0.9× 24 0.2× 81 713
Luis Rueda Canada 19 289 1.0× 509 3.1× 94 0.6× 106 0.7× 3 0.0× 122 1.1k
Shuguang Huang United States 19 45 0.2× 655 4.0× 47 0.3× 17 0.1× 48 0.4× 66 1.2k
Jean Gao United States 16 150 0.5× 309 1.9× 53 0.3× 191 1.3× 5 0.0× 114 935
Yiqun Hu China 23 199 0.7× 280 1.7× 7 0.0× 938 6.2× 23 0.2× 110 1.8k
Shufen Liu China 19 122 0.4× 381 2.4× 8 0.1× 60 0.4× 38 0.3× 146 1.1k
Xiaofeng Xia China 16 76 0.3× 389 2.4× 131 0.8× 106 0.7× 4 0.0× 41 911
Alan Garny United Kingdom 23 39 0.1× 852 5.3× 118 0.8× 17 0.1× 10 0.1× 41 1.6k

Countries citing papers authored by Feijiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Feijiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feijiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Feijiang Li. A scholar is included among the top collaborators of Feijiang 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 Feijiang Li. Feijiang 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
1.
Luo, Tingjin, et al.. (2025). Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. Proceedings of the AAAI Conference on Artificial Intelligence. 39(17). 18430–18438.
2.
Luo, Jiachen, et al.. (2024). Cross-Domain Contrastive Learning for Time Series Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8921–8929. 1 indexed citations
3.
Li, Feijiang, Jieting Wang, Yuhua Qian, Guoqing Liu, & Keqi Wang. (2023). Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation. IEEE Transactions on Fuzzy Systems. 31(10). 3610–3623. 15 indexed citations
4.
Li, Feijiang, et al.. (2022). Clustering mixed type data: a space structure-based approach. International Journal of Machine Learning and Cybernetics. 13(9). 2799–2812. 6 indexed citations
5.
Li, Feijiang, Yuhua Qian, & Jieting Wang. (2021). GoT: a Growing Tree Model for Clustering Ensemble. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 8349–8356. 9 indexed citations
6.
Wang, Jieting, Yuhua Qian, Feijiang Li, & Guoqing Liu. (2020). Support Vector Machine with Eliminating the Random Consistency. 57(8). 1581.
7.
Li, Feijiang, Yuhua Qian, Jieting Wang, Chuangyin Dang, & Liping Jing. (2019). Clustering ensemble based on sample's stability. Artificial Intelligence. 273. 37–55. 86 indexed citations
8.
Wang, Jieting, Yuhua Qian, Feijiang Li, Jiye Liang, & Weiping Ding. (2019). Fusing Fuzzy Monotonic Decision Trees. IEEE Transactions on Fuzzy Systems. 28(5). 887–900. 40 indexed citations
9.
Li, Feijiang, Yuhua Qian, Jieting Wang, Chuangyin Dang, & Bing Liu. (2018). Cluster’s Quality Evaluation and Selective Clustering Ensemble. ACM Transactions on Knowledge Discovery from Data. 12(5). 1–27. 27 indexed citations
10.
Lei, Tao, Feijiang Li, Zhuowen Liang, et al.. (2017). Effects of four kinds of electromagnetic fields (EMF) with different frequency spectrum bands on ovariectomized osteoporosis in mice. Scientific Reports. 7(1). 553–553. 16 indexed citations
11.
Lei, Tao, Zhuowen Liang, Feijiang Li, et al.. (2017). Pulsed electromagnetic fields (PEMF) attenuate changes in vertebral bone mass, architecture and strength in ovariectomized mice. Bone. 108. 10–19. 53 indexed citations
12.
Li, Feijiang, Tao Lei, Kangning Xie, et al.. (2016). Effects of extremely low frequency pulsed magnetic fields on diabetic nephropathy in streptozotocin-treated rats. BioMedical Engineering OnLine. 15(1). 8–8. 15 indexed citations
13.
Ling, Rui, et al.. (2016). FTY720 enhances osteogenic differentiation of bone marrow mesenchymal stem cells in ovariectomized rats. Molecular Medicine Reports. 14(1). 927–935. 12 indexed citations
14.
15.
Yu, Liming, Feijiang Li, Guolong Zhao, et al.. (2015). Protective effect of berberine against myocardial ischemia reperfusion injury: role of Notch1/Hes1-PTEN/Akt signaling. APOPTOSIS. 20(6). 796–810. 88 indexed citations
16.
Wang, Jing, Yanxin An, Feijiang Li, et al.. (2013). The effects of pulsed electromagnetic field on the functions of osteoblasts on implant surfaces with different topographies. Acta Biomaterialia. 10(2). 975–985. 67 indexed citations
17.
Jing, Da, Feijiang Li, Maogang Jiang, et al.. (2013). Pulsed Electromagnetic Fields Improve Bone Microstructure and Strength in Ovariectomized Rats through a Wnt/Lrp5/β-Catenin Signaling-Associated Mechanism. PLoS ONE. 8(11). e79377–e79377. 61 indexed citations
18.
Lei, Tao, Da Jing, Kangning Xie, et al.. (2013). Therapeutic Effects of 15 Hz Pulsed Electromagnetic Field on Diabetic Peripheral Neuropathy in Streptozotocin-Treated Rats. PLoS ONE. 8(4). e61414–e61414. 21 indexed citations
19.
Qian, Yuhua, Zhang Hu, Feijiang Li, Qinghua Hu, & Jiye Liang. (2013). Set-based granular computing: A lattice model. International Journal of Approximate Reasoning. 55(3). 834–852. 43 indexed citations
20.
Jing, Da, Guanghao Shen, Jing Cai, et al.. (2010). Effects of 180 mT static magnetic fields on diabetic wound healing in rats. Bioelectromagnetics. 31(8). 640–648. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ahmet Saçan Breakdown of academic impact, for papers by Yonggwan Won Breakdown of academic impact, for papers by Luis Rueda Breakdown of academic impact, for papers by Shuguang Huang Breakdown of academic impact, for papers by Jean Gao Breakdown of academic impact, for papers by Yiqun Hu Breakdown of academic impact, for papers by Shufen Liu Breakdown of academic impact, for papers by Xiaofeng Xia Breakdown of academic impact, for papers by Alan Garny
Rankless by CCL
2026