Ling Chen

5.4k total citations · 2 hit papers
252 papers, 3.6k citations indexed

About

Ling Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ling Chen has authored 252 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 57 papers in Computer Vision and Pattern Recognition and 36 papers in Signal Processing. Recurrent topics in Ling Chen's work include Human Mobility and Location-Based Analysis (31 papers), Data Management and Algorithms (23 papers) and Context-Aware Activity Recognition Systems (20 papers). Ling Chen is often cited by papers focused on Human Mobility and Location-Based Analysis (31 papers), Data Management and Algorithms (23 papers) and Context-Aware Activity Recognition Systems (20 papers). Ling Chen collaborates with scholars based in China, United States and Hong Kong. Ling Chen's co-authors include Gencai Chen, Mingqi Lv, Liangying Peng, Ibrar Hussain, Tieming Chen, Abdul Majid, John R. Woodward, Yi Zhang, Weiqi Chen and Shouling Ji and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Ling Chen

223 papers receiving 3.5k citations

Hit Papers

Temporal Multi-Graph Convolutional Network for Traffic Fl... 2020 2026 2022 2024 2020 2023 50 100 150 200

Peers

Ling Chen
Comparison fields: 5 of 183
  • Computer Vision and Pattern Recognition 815
  • Artificial Intelligence 799
  • Transportation 783
  • Signal Processing 568
  • Building and Construction 568
Replace Paolo Nesi with:
Paolo Nesi Italy
Chang‐Tien Lu United States
Yan Huang United States
Yanjie Fu United States
Zhang Xiong China
Licia Capra United Kingdom
Hao Peng China
Jason J. Jung South Korea
Ross Maciejewski United States
Anand Paul South Korea
Paolo Nesi Italy View profile →
Citations per field, relative to Ling Chen
Ling Chen · 1×
Citations per year, relative to Ling Chen
Ling Chen · 1×

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-authorship network of co-authors of Ling Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Chen. A scholar is included among the top collaborators of Ling Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Chen. Ling Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 5
4 0
5 2
6 5
7 0
8 1
9 4
10 5
11 9
12 28
13 31
14 8
15 11
16 1
17 4
18
Realizing the Precautionary Principle in Due Diligence
4
19 7
20 51

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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