Chenglin Li

1.9k citations
128 papers · 1.2k · h-index 21

Impact in

Papers in

Chenglin Li

108 papers receiving 1.2k citations

Peers

Chenglin Li
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 696
  • Signal Processing 307
  • Computer Networks and Communications 375
  • Human-Computer Interaction 63
  • Media Technology 72
Replace Junni Zou with:
Junni Zou China
Xingang Liu China
Jian He China
Yuesheng Zhu China
Jiro Katto Japan
Xiaoqiang Li China
Jian Zhao China
Xiaoyan Kui China
Prabin Kumar Bora India
Mingliang Zhou China
Chenglin Li relative to Junni Zou China Junni Zou's profile →
Citations per field
00.5×1.5×2.2×
Junni Zou · 1×
Citations per year

Countries citing papers authored by Chenglin Li

Since Specialization
Citations

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

Fields of papers citing papers by Chenglin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017125
2 202158
3 202255
4 201935
5 202335
6 201934
7 201932
8 202132
9 202130
10 202129
11 202229
12 202228
13 201128
14 201127
15 201425
16 201724
17 202224
18 202024
19 202021
20 202321

About Chenglin Li

Chenglin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 128 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (22 papers), Video Coding and Compression Technologies (20 papers), Advanced Neural Network Applications (15 papers), Cooperative Communication and Network Coding (15 papers), Advanced Data Compression Techniques (14 papers), Advanced Image Processing Techniques (13 papers), Advanced Wireless Network Optimization (11 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (696 citations), Signal Processing (307 citations), Computer Networks and Communications (375 citations), Human-Computer Interaction (63 citations) and Media Technology (72 citations). Chenglin Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hongkai Xiong, Junni Zou, Wenrui Dai, Pascal Frossard, Laura Toni, Dapeng Wu, Shaohui Li, Eckehard Steinbach, Yaoming Wang and Chang Wen Chen. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Signal Processing and IEEE Transactions on Neural Networks and Learning Systems.

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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