Ling Chen
Impact in
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Data Mining Algorithms and Applications
Papers in
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- Advanced Graph Neural Networks 30
-
- Data Mining Algorithms and Applications 42
- Recommender Systems and Techniques 25
- Co-authors
- Hongzhi Yin (12 shared papers)Chengqi Zhang (35 shared papers)Zhiting Hu (5 shared papers)Bin Cui (5 shared papers)Xiaofang Zhou (6 shared papers)Yizhou Sun (4 shared papers)Abhishek Roy (1 shared paper)Weiqing Wang (4 shared papers)
- Journals
- Information Sciences (7 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)Applied Intelligence (6 papers)IEEE Transactions on Neural Networks and Learning Systems (5 papers)Data & Knowledge Engineering (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ling Chen
323 papers receiving 6.0k citations
Ling Chen's Hit Papers
Peers
Comparison fields: 5 of 185
- Transportation 867
- Information Systems 1.8k
- Signal Processing 791
- Artificial Intelligence 2.3k
- Statistical and Nonlinear Physics 831
Countries citing papers authored by Ling Chen
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
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.
All Works
Showing the 20 most-cited of 356 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LCARS Hit paper breakdown → | 2013 | 286 |
| 2 | 2017 | 242 | |
| 3 | 2007 | 191 | |
| 4 | 2009 | 187 | |
| 5 | 1987 | 172 | |
| 6 | 2012 | 140 | |
| 7 | 2021 | 130 | |
| 8 | 2015 | 128 | |
| 9 | 2015 | 122 | |
| 10 | 2012 | 118 | |
| 11 | 2015 | 117 | |
| 12 | 2014 | 111 | |
| 13 | 2022 | 110 | |
| 14 | 2014 | 103 | |
| 15 | 2005 | 93 | |
| 16 | 2021 | 91 | |
| 17 | 2014 | 87 | |
| 18 | 2004 | 78 | |
| 19 | 2016 | 78 | |
| 20 | 2015 | 73 |
About Ling Chen
Ling Chen is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 356 papers that have together received 6.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (42 papers), Complex Network Analysis Techniques (38 papers), Data Management and Algorithms (32 papers), Advanced Graph Neural Networks (30 papers), Rough Sets and Fuzzy Logic (28 papers), Recommender Systems and Techniques (25 papers), Advanced Database Systems and Queries (20 papers) and Advanced Image and Video Retrieval Techniques (20 papers). The work is most often cited by research in Transportation (867 citations), Information Systems (1.8k citations), Signal Processing (791 citations), Artificial Intelligence (2.3k citations) and Statistical and Nonlinear Physics (831 citations). Ling Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hongzhi Yin, Chengqi Zhang, Zhiting Hu, Bin Cui, Xiaofang Zhou, Yizhou Sun, Abhishek Roy, Weiqing Wang, Gencai Chen and Guansong Pang. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering, Applied Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Data & Knowledge Engineering.
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.