Ling Chen

977 citations
62 papers · 619 · h-index 17

Impact in

Papers in

Ling Chen

60 papers receiving 600 citations

Peers

Ling Chen
Comparison fields: 5 of 87
  • Ocean Engineering 175
  • Computer Vision and Pattern Recognition 211
  • Computational Mathematics 6
  • Human-Computer Interaction 46
  • Aerospace Engineering 178
Replace Max Pfingsthorn with:
Max Pfingsthorn Germany
Yizhou Wang China
Martin A. Skoglund Sweden
Jonathan Kelly Canada
Steve Scheding Australia
Mario Prats Spain
Aolei Yang China
Michael Angermann Germany
Tomás Salgado-Jiménez Mexico
Jonathan Binney United States
Ling Chen relative to Max Pfingsthorn Germany Max Pfingsthorn's profile →
Citations per field
00.5×1.5×
Max Pfingsthorn · 1×
Citations per year

Countries citing papers authored by Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201541
2 201439
3 201337
4 200734
5 201731
6 201930
7 201725
8 201925
9 201224
10 201320
11 201420
12 201219
13 202119
14 201019
15 201518
16 201317
17 201117
18 202116
19 201516
20 201215

About Ling Chen

Ling Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Ocean Engineering and Electrical and Electronic Engineering, having authored 62 papers that have together received 619 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Underwater Vehicles and Communication Systems (13 papers), Indoor and Outdoor Localization Technologies (9 papers), Robotic Path Planning Algorithms (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Gaze Tracking and Assistive Technology (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Ocean Engineering (175 citations), Computer Vision and Pattern Recognition (211 citations), Computational Mathematics (6 citations), Human-Computer Interaction (46 citations) and Aerospace Engineering (178 citations). Ling Chen has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Huosheng Hu, Sen Wang, Dongbing Gu, Klaus D. McDonald-Maier, Aolei Yang, Yuhong Wang, Wasif Naeem, Gangqiang Zhao, Jie Song and Gencai Chen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Microwave Theory and Techniques, IEEE Access, Optics and Lasers in Engineering and Journal of Optimization Theory and Applications.

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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