Lichun Li

1.1k citations
69 papers · 901 · h-index 16

Impact in

Papers in

Lichun Li

64 papers receiving 870 citations

Peers

Lichun Li
Comparison fields: 5 of 43
  • Control and Systems Engineering 270
  • Artificial Intelligence 248
  • Information Systems 107
  • Computer Networks and Communications 87
  • Computer Vision and Pattern Recognition 86
Replace Gregg Rabideau with:
Gregg Rabideau United States
Ngo Anh Vien Germany
Michel D. Ingham United States
Jeremy Frank United States
Daniel M. Gaines United States
Zhansheng Duan China
Kanna Rajan United States
Martin J. Schuster Germany
Jin Chen China
Lichun Li relative to Gregg Rabideau United States Gregg Rabideau's profile →
Citations per field
00.5×2×4×6×8×9.7×
Gregg Rabideau · 1×
Citations per year

Countries citing papers authored by Lichun Li

Since Specialization
Citations

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

Fields of papers citing papers by Lichun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016160
2 201091
3 201472
4 201546
5 201241
6 201240
7 202040
8 201027
9 201127
10 201126
11 201422
12 201821
13 200220
14 201319
15 202019
16 201218
17 200916
18 200914
19 201814
20 201013

About Lichun Li

Lichun Li is a scholar working on Signal Processing, Computer Networks and Communications, Control and Systems Engineering, Management Science and Operations Research and Aerospace Engineering, having authored 69 papers that have together received 901 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (12 papers), Stability and Control of Uncertain Systems (11 papers), Game Theory and Applications (10 papers), Robotics and Sensor-Based Localization (6 papers), Direction-of-Arrival Estimation Techniques (5 papers), Satellite Image Processing and Photogrammetry (5 papers), Advanced Vision and Imaging (5 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Control and Systems Engineering (270 citations), Artificial Intelligence (248 citations), Information Systems (107 citations), Computer Networks and Communications (87 citations) and Computer Vision and Pattern Recognition (86 citations). Lichun Li has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Michael D. Lemmon, Rongxing Lu, Anwitaman Datta, Jun Shao, Kim‐Kwang Raymond Choo, Jeff S. Shamma, Xiaofeng Wang, Cheng Huang, Kaichang Di and Zhaoqin Liu. Their work appears in journals such as Science China Technological Sciences, IEEE Transactions on Automatic Control, Remote Sensing, Sensors and IEEE Internet of Things Journal.

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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