Shun‐Chi Wu

1.0k citations
57 papers · 736 · h-index 15

Impact in

Papers in

Shun‐Chi Wu

52 papers receiving 724 citations

Peers

Shun‐Chi Wu
Comparison fields: 5 of 123
  • Cognitive Neuroscience 176
  • Catalysis 47
  • Cardiology and Cardiovascular Medicine 119
  • Statistics, Probability and Uncertainty 38
  • Signal Processing 57
Replace Νικόλαος Γιαννακέας with:
Νικόλαος Γιαννακέας Greece
Ramakrishnan Swaminathan India
Ricardo Guerrero United Kingdom
Carlos Medina Colombia
Jyoti Yadav India
Faheem Khan South Korea
Xinlei Li China
Fan Li China
Yanru Bai China
Abdullah Çavuşoğlu Türkiye
Shun‐Chi Wu relative to Νικόλαος Γιαννακέας Greece Νικόλαος Γιαννακέας's profile →
Citations per field
00.5×10×20×30×38×
Νικόλαος Γιαννακέας · 1×
Citations per year

Countries citing papers authored by Shun‐Chi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Chi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐Chi Wu. 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 Shun‐Chi Wu. The network helps show where Shun‐Chi Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Shun‐Chi Wu, 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 Shun‐Chi Wu Line = papers co-authored together Shun‐Chi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199992
2 201850
3 201948
4 200845
5 202137
6 202332
7 202131
8 202128
9 202027
10 202226
11 201925
12 201824
13 202024
14 202119
15 201316
16 201714
17 201614
18 202213
19 202212
20 201711

About Shun‐Chi Wu

Shun‐Chi Wu is a scholar working on Cognitive Neuroscience, Control and Systems Engineering, Cardiology and Cardiovascular Medicine, Signal Processing and Aerospace Engineering, having authored 57 papers that have together received 736 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Fault Detection and Control Systems (10 papers), ECG Monitoring and Analysis (8 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Neural dynamics and brain function (5 papers), Risk and Safety Analysis (4 papers), Functional Brain Connectivity Studies (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (176 citations), Catalysis (47 citations), Cardiology and Cardiovascular Medicine (119 citations), Statistics, Probability and Uncertainty (38 citations) and Signal Processing (57 citations). Shun‐Chi Wu has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Ting‐Han Lin, A. Lee Swindlehurst, Jaung‐Geng Lin, M.-L. Chen, Chemin Lin, Chih‐Mao Huang, Shwu‐Hua Lee, Dinesh Bhalothia, Ming‐Fu Chang and Tsan‐Yao Chen. Their work appears in journals such as Annals of Nuclear Energy, Progress in Nuclear Energy, Journal of Affective Disorders, Multidimensional Systems and Signal Processing and ACS Applied Energy Materials.

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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