Feijiang Li

31 papers receiving 869 citations

Peers

Feijiang Li
Comparison fields: 5 of 120
  • Biophysics 160
  • Orthopedics and Sports Medicine 122
  • Artificial Intelligence 290
  • Computer Vision and Pattern Recognition 155
  • Computational Theory and Mathematics 119
Replace Shuguang Huang with:
Shuguang Huang United States
Ahmet Saçan United States
Rubén Armañanzas Spain
Yonggwan Won South Korea
Shufen Liu China
Yuxuan Du China
Yiqun Hu China
Xiaofeng Xia China
Jean Gao United States
Feijiang Li relative to Shuguang Huang United States Shuguang Huang's profile →
Citations per field
00.5×9.7×
Shuguang Huang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Feijiang Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feijiang Li Line = papers co-authored together Feijiang Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201499
2 201989
3 201588
4 201366
5 201566
6 201664
7 201361
8 201753
9 201343
10 201942
11 201040
12 201827
13 201322
14 202318
15 201716
16 201615
17 201513
18 201613
19 20219
20 20226

About Feijiang Li

Feijiang Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Media Technology and Computational Theory and Mathematics, having authored 35 papers that have together received 881 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (9 papers), Face and Expression Recognition (9 papers), Bone health and osteoporosis research (4 papers), Rough Sets and Fuzzy Logic (4 papers), Electromagnetic Fields and Biological Effects (4 papers), Remote-Sensing Image Classification (3 papers), Bone Metabolism and Diseases (3 papers) and Laser Applications in Dentistry and Medicine (3 papers). The work is most often cited by research in Biophysics (160 citations), Orthopedics and Sports Medicine (122 citations), Artificial Intelligence (290 citations), Computer Vision and Pattern Recognition (155 citations) and Computational Theory and Mathematics (119 citations). Feijiang Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yuhua Qian, Jieting Wang, Jiye Liang, Chuangyin Dang, Da Jing, Guanghao Shen, Chi Tang, Kangning Xie, Maogang Jiang and Qiaoling Xu. Their work appears in journals such as PLoS ONE, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Knowledge Discovery from Data and Food Research International.

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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