Cheng Wen

631 total citations
32 papers, 378 citations indexed

About

Cheng Wen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Cheng Wen has authored 32 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Cheng Wen's work include ECG Monitoring and Analysis (6 papers), Software Testing and Debugging Techniques (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Cheng Wen is often cited by papers focused on ECG Monitoring and Analysis (6 papers), Software Testing and Debugging Techniques (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Cheng Wen collaborates with scholars based in China, Taiwan and United Kingdom. Cheng Wen's co-authors include Kuang‐Chiung Chang, Ming‐Feng Yeh, Shengchao Qin, Zhiwu Xu, Ren-Guey Lee, Yang Liu, Yuekang Li, Xiaofei Xie, Hongxu Chen and Chih‐Hung Huang and has published in prestigious journals such as ACM Transactions on Graphics, Neurocomputing and Polymers.

In The Last Decade

Cheng Wen

27 papers receiving 360 citations

Peers

Cheng Wen
Comparison fields: 5 of 67
  • Software 147
  • Signal Processing 133
  • Information Systems 94
  • Artificial Intelligence 94
  • Cardiology and Cardiovascular Medicine 87
Replace Benessa Defend with:
Benessa Defend United States
Jan Rabčan Slovakia
Eduard Marin Spain
O. Sarbishei Canada
Ningjiang Chen China
Mohd Soperi Mohd Zahid Malaysia
Arun A. Balakrishnan India
Shanker Shreejith Singapore
Lorenzo Servadei Germany
Benessa Defend United States View profile →
Citations per field, relative to Cheng Wen
Cheng Wen · 1×
Citations per year, relative to Cheng Wen
Cheng Wen · 1×

Countries citing papers authored by Cheng Wen

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Wen. A scholar is included among the top collaborators of Cheng Wen 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 Cheng Wen. Cheng Wen 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 2
4 0
5 14
6 4
7 15
8 3
9 77
10 1
11 6
12 8
13 3
14 2
15 2
16 66
17 1
18 12
19 8
20 5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026