Shih‐Cheng Yen

80 papers receiving 1.6k citations

Peers

Shih‐Cheng Yen
Comparison fields: 5 of 116
  • Cognitive Neuroscience 773
  • Biomedical Engineering 649
  • Cellular and Molecular Neuroscience 521
  • Electrical and Electronic Engineering 229
  • Computer Vision and Pattern Recognition 122
Replace Stephen P. DeWeerth with:
Stephen P. DeWeerth United States
Kianoush Nazarpour United Kingdom
Keehoon Kim South Korea
Madeleine M. Lowery Ireland
Gislin Dagnelie United States
Alberto Mazzoni Italy
Carsten Mehring Germany
Stephen I. Helms Tillery United States
Jiping He United States
Kazuhiko Seki Japan
Shih‐Cheng Yen relative to Stephen P. DeWeerth United States Stephen P. DeWeerth's profile →
Citations per field
00.5×2.9×
Stephen P. DeWeerth · 1×
Citations per year

Countries citing papers authored by Shih‐Cheng Yen

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Cheng Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shih‐Cheng Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Cheng Yen. A scholar is included among the top collaborators of Shih‐Cheng Yen 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 Shih‐Cheng Yen. Shih‐Cheng Yen 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
#WorkIndexed citations
1 6
2 4
3 43
4 8
5 2
6 3
7 33
8 40
9 17
10 126
11 16
12 2
13 55
14 34
15
Aiding Young Children in Taiwan's Typhoon Disaster: How an NAEYC Interest Forum Takes Action
1
16 73
17
Cortical computation of perceptual salience
1
18 197
19 2
20
Salient Contour Extraction by Temporal Binding in a Cortically-based Network
19

About Shih‐Cheng Yen

Shih‐Cheng Yen is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (36 papers), Muscle activation and electromyography studies (26 papers) and EEG and Brain-Computer Interfaces (20 papers). The work is most often cited by research in Cognitive Neuroscience (773 citations), Cellular and Molecular Neuroscience (521 citations) and Physical Therapy, Sports Therapy and Rehabilitation (74 citations). Shih‐Cheng Yen has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Leif H. Finkel, Chengkuo Lee, Nitish V. Thakor, Roger Herikstad, Jonathan Baker, Camilo Libedinsky, Charles M. Gray, Aishwarya Parthasarathy, Lorenzo Masia and Jiahui Wang. Their work appears in journals such as Advanced Materials, Nature Communications and Journal of Neuroscience.

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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