Wenqing Chen

743 total citations
48 papers, 441 citations indexed

About

Wenqing Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Wenqing Chen has authored 48 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Wenqing Chen's work include Topic Modeling (16 papers), Natural Language Processing Techniques (14 papers) and Software Engineering Research (5 papers). Wenqing Chen is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (14 papers) and Software Engineering Research (5 papers). Wenqing Chen collaborates with scholars based in China, United States and United Kingdom. Wenqing Chen's co-authors include Liqiang Xiao, Yaohui Jin, Honglun Zhang, Yongkun Wang, Xiaoli Li, Li Sun, Yan Song, He Chen, Yong Yuan and Kezhong Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience and Expert Systems with Applications.

In The Last Decade

Wenqing Chen

41 papers receiving 419 citations

Peers

Wenqing Chen
Comparison fields: 5 of 76
  • Artificial Intelligence 197
  • Computer Networks and Communications 82
  • Electrical and Electronic Engineering 70
  • Computer Vision and Pattern Recognition 64
  • Cognitive Neuroscience 63
Replace Syin Chan with:
Syin Chan Singapore
Junghee Ryu South Korea
Philippe Müller France
Emanuele Panizzi Italy
Cheng-Yu Hsieh Taiwan
Christoph Dietzel Germany
Onur Cezmi Mutlu United States
Benjamin Martin United States
Nabil J. Sarhan United States
Syam Gadde United States
Syin Chan Singapore View profile →
Citations per field, relative to Wenqing Chen
Wenqing Chen · 1×
Citations per year, relative to Wenqing Chen
Wenqing Chen · 1×

Countries citing papers authored by Wenqing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wenqing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenqing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wenqing Chen. A scholar is included among the top collaborators of Wenqing 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 Wenqing Chen. Wenqing 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 0
3 0
4 3
5 31
6 0
7 3
8 3
9 8
10 2
11 1
12
A Generative-Symbolic Model for Logical Reasoning in NLU
1
13 15
14 64
15
Learning What to Share: Leaky Multi-Task Network for Text Classification
8
16
Methods of eyeglasses detection and frame removal for face image
2
17 5
18 3
19 2
20
Discussing on the Cultivation of Undergraduate's Theory Quality
0

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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