Chien‐Wen Cho

11 papers receiving 291 citations

Peers

Chien‐Wen Cho
Comparison fields: 5 of 60
  • Human-Computer Interaction 26
  • Neurology 61
  • Physical Therapy, Sports Therapy and Rehabilitation 18
  • Cellular and Molecular Neuroscience 71
  • Health, Toxicology and Mutagenesis 45
Replace Padmavati Khandnor with:
Padmavati Khandnor India
Seyed M. Miran United States
Na Pang China
Vaishnavi Ranganathan United States
Matt C. Gabel United Kingdom
Susana Costa Portugal
Rahul Gavas India
Samuel Reinfelder Germany
Gérard Dray France
Julien Stamatakis Belgium
Chien‐Wen Cho relative to Padmavati Khandnor India Padmavati Khandnor's profile →
Citations per field
00.5×10×15×22×
Padmavati Khandnor · 1×
Citations per year

Countries citing papers authored by Chien‐Wen Cho

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Wen Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Chien‐Wen Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chien‐Wen Cho Line = papers co-authored together Chien‐Wen Cho links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2008106
2 200982
3 201550
4 201120
5 200918
6 20087
7 20066
8 20025
9
Correction of Inhomogeneous MR Images Using Multiscale Retinex
20074
10 20032
11 20071

About Chien‐Wen Cho

Chien‐Wen Cho is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Human-Computer Interaction, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Gait Recognition and Analysis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Human-Computer Interaction (26 citations), Neurology (61 citations), Physical Therapy, Sports Therapy and Rehabilitation (18 citations), Cellular and Molecular Neuroscience (71 citations) and Health, Toxicology and Mutagenesis (45 citations). Chien‐Wen Cho has collaborated with scholars based in Taiwan and United States. Frequent co-authors include You‐Yin Chen, Sheng-Huang Lin, Wen-Hung Chao, Jyh‐Yeong Chang, Siny Tsang, Sheng-Huang Lin, Chia‐Hsin Liao, Yifan Chen, Hsin‐Yi Lai and Hung‐I Lin. Their work appears in journals such as Expert Systems with Applications, Atmospheric Environment, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Journal of Neuroscience Methods and Journal of the Chinese Institute of Engineers.

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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