Wenlin Chen
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Organizational Behavior and Human Resource Management
- Signal Processing
- Co-authors
- Kilian Q. WeinbergerYixin ChenShiji SongJacob R. GardnerQuan ZhouBenjamin MoseleyMatt J. KusnerHuei‐Tse Hou
- Topics
- Complex Network Analysis Techniques (1 paper)Neural Networks and Applications (1 paper)Generative Adversarial Networks and Image Synthesis (1 paper)
- Cited by
- Computer Graphics and Computer-Aided DesignArtificial IntelligenceOrganizational Behavior and Human Resource Management
- Journals
- PolyPublie (École Polytechnique de Montréal)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesChina
In The Last Decade
Wenlin Chen
2 papers receiving 46 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 26
- Computer Vision and Pattern Recognition 8
- Computer Networks and Communications 8
- Organizational Behavior and Human Resource Management 7
- Signal Processing 6
Countries citing papers authored by Wenlin Chen
This map shows the geographic impact of Wenlin 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 Wenlin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenlin Chen more than expected).
Fields of papers citing papers by Wenlin Chen
This network shows the impact of papers produced by Wenlin 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 Wenlin Chen. The network helps show where Wenlin Chen may publish in the future.
Co-authorship network of co-authors of Wenlin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Wenlin Chen. A scholar is included among the top collaborators of Wenlin 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 Wenlin Chen. Wenlin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Fast distributed k -center clustering with outliers on massive data | 20 |
| 3 | 30 |
About Wenlin Chen
Wenlin Chen is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Developmental and Educational Psychology, having authored 3 papers that have together received 50 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (1 paper), Neural Networks and Applications (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (3 citations), Artificial Intelligence (26 citations) and Organizational Behavior and Human Resource Management (7 citations). Wenlin Chen has collaborated with scholars based in United States and China. Frequent co-authors include Kilian Q. Weinberger, Yixin Chen, Shiji Song, Jacob R. Gardner, Quan Zhou, Benjamin Moseley, Matt J. Kusner and Huei‐Tse Hou. Their work appears in journals such as PolyPublie (École Polytechnique de Montréal) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.