Sen Li

2.2k citations
129 papers · 1.6k · h-index 23

Impact in

Papers in

Sen Li

120 papers receiving 1.6k citations

Peers

Sen Li
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 345
  • Media Technology 131
  • Computer Networks and Communications 224
  • Statistical and Nonlinear Physics 92
  • Biomedical Engineering 253
Replace Pranab Kumar Dutta with:
Pranab Kumar Dutta India
Ghyslain Gagnon Canada
Reza Ghaderi Iran
Shuai Wang China
Yi Zheng United States
Rupert Young United Kingdom
Debangshu Dey India
Naglaa F. Soliman Saudi Arabia
Kuo‐Sheng Cheng Taiwan
Sen Li relative to Pranab Kumar Dutta India Pranab Kumar Dutta's profile →
Citations per field
00.5×4.4×
Pranab Kumar Dutta · 1×
Citations per year

Countries citing papers authored by Sen Li

Since Specialization
Citations

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

Fields of papers citing papers by Sen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sen 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 Sen Li Line = papers co-authored together Sen Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202385
2 201884
3 202266
4 202361
5 201961
6 200460
7 201958
8 201954
9 202248
10 202247
11 202242
12 202137
13 202037
14 201434
15 201734
16 201834
17 202030
18 202028
19 202028
20 202224

About Sen Li

Sen Li is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications, Molecular Biology and Media Technology, having authored 129 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (12 papers), Remote-Sensing Image Classification (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), stochastic dynamics and bifurcation (8 papers), Video Surveillance and Tracking Methods (8 papers), Digital Imaging for Blood Diseases (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (345 citations), Media Technology (131 citations), Computer Networks and Communications (224 citations), Statistical and Nonlinear Physics (92 citations) and Biomedical Engineering (253 citations). Sen Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaohua Ding, Yang Zhang, Jihao Yin, Wenxue Li, Xiaoyan Luo, Qian Zhang, Qimin Cheng, Huan Su, Peng Fu and Xiongjun Fu. Their work appears in journals such as OncoTargets and Therapy, Journal of Vision, Neurocomputing, International Journal of Biological Macromolecules and mSystems.

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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