Shun‐Chi Wu

910 total citations
54 papers, 636 citations indexed

About

Shun‐Chi Wu is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Control and Systems Engineering. According to data from OpenAlex, Shun‐Chi Wu has authored 54 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 10 papers in Cardiology and Cardiovascular Medicine and 10 papers in Control and Systems Engineering. Recurrent topics in Shun‐Chi Wu's work include EEG and Brain-Computer Interfaces (13 papers), Fault Detection and Control Systems (10 papers) and ECG Monitoring and Analysis (8 papers). Shun‐Chi Wu is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Fault Detection and Control Systems (10 papers) and ECG Monitoring and Analysis (8 papers). Shun‐Chi Wu collaborates with scholars based in Taiwan, United States and Hong Kong. Shun‐Chi Wu's co-authors include Ting‐Han Lin, A. Lee Swindlehurst, M.-L. Chen, Jaung‐Geng Lin, Ming‐Fu Chang, Shan‐Chwen Chang, Pei‐Ju Liao, Hung‐Yi Wu, Chemin Lin and Chih‐Mao Huang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Oncogene.

In The Last Decade

Shun‐Chi Wu

48 papers receiving 624 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shun‐Chi Wu Taiwan 15 169 119 75 70 64 54 636
Hyun-Soo Choi South Korea 16 179 1.1× 101 0.8× 22 0.3× 44 0.6× 96 1.5× 60 779
Yanli Li China 14 334 2.0× 76 0.6× 28 0.4× 260 3.7× 23 0.4× 33 694
A. Amalin Prince India 10 88 0.5× 38 0.3× 44 0.6× 31 0.4× 26 0.4× 51 434
Jyoti Yadav India 14 138 0.8× 111 0.9× 64 0.9× 86 1.2× 50 0.8× 44 832
Guangda Liu China 15 105 0.6× 70 0.6× 37 0.5× 31 0.4× 162 2.5× 57 771
Ruofan Wang China 16 483 2.9× 80 0.7× 11 0.1× 51 0.7× 60 0.9× 64 934
Dongrui Gao China 17 320 1.9× 43 0.4× 34 0.5× 168 2.4× 84 1.3× 57 698
Riccardo Pernice Italy 19 270 1.6× 447 3.8× 22 0.3× 66 0.9× 20 0.3× 102 1.0k
Edilson Delgado‐Trejos Colombia 12 91 0.5× 106 0.9× 70 0.9× 28 0.4× 17 0.3× 54 485

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-authorship network of co-authors of Shun‐Chi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Chi Wu. A scholar is included among the top collaborators of Shun‐Chi Wu 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 Shun‐Chi Wu. Shun‐Chi Wu 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
1.
Wang, Yimei, Peng Chen, Sheng‐Han Kuo, et al.. (2025). The cerebellum shapes motions by encoding motor frequencies with precision and cross-individual uniformity. Nature Biomedical Engineering. 9(11). 1952–1971.
2.
Zhang, Xin, Ruijiao Zhao, Shun‐Chi Wu, et al.. (2025). The mediating and moderating effects of mindfulness and emotional intelligence on the emotional labor strategies and career resilience of tourism employees. Scientific Reports. 15(1). 24268–24268. 1 indexed citations
3.
Yeh, Po‐Ting, et al.. (2025). Discrete photoentrainment of mammalian central clock is regulated by bi-stable dynamic network in the suprachiasmatic nucleus. Nature Communications. 16(1). 3331–3331. 1 indexed citations
4.
Chen, Yumin, et al.. (2025). Mitigating medium break loss of coolant accidents: Optimizing control system setpoints using genetic algorithms. Progress in Nuclear Energy. 189. 105924–105924.
5.
Huang, Feng‐Ying, Peixun Li, Chihling Liu, et al.. (2025). Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity. Psychological Medicine. 55. e148–e148. 2 indexed citations
6.
Wang, Yimei, et al.. (2024). Neuronal population activity in the olivocerebellum encodes the frequency of essential tremor in mice and patients. Science Translational Medicine. 16(747). eadl1408–eadl1408. 7 indexed citations
7.
Lin, Chemin, Chih‐Mao Huang, Ho‐Ling Liu, et al.. (2024). Cognitive protection and brain entropy changes from omega-3 polyunsaturated fatty acids supplement in late-life depression: A 52-week randomized controlled trial. Journal of Affective Disorders. 351. 15–23. 10 indexed citations
8.
Lin, Chemin, Chih‐Mao Huang, Ho‐Ling Liu, et al.. (2024). Predicting suicidality in late‐life depression by 3D convolutional neural network and cross‐sample entropy analysis of resting‐state fMRI. Brain and Behavior. 14(1). e3348–e3348. 5 indexed citations
9.
10.
Bhalothia, Dinesh, Che Yan, Shun‐Chi Wu, et al.. (2022). Surface anchored atomic cobalt-oxide species coupled with oxygen vacancies boost the CO-production yield of Pd nanoparticles. Sustainable Energy & Fuels. 7(2). 526–536. 9 indexed citations
11.
12.
Lin, Chemin, Shwu‐Hua Lee, Feng‐Ying Huang, et al.. (2022). Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI. Brain Imaging and Behavior. 17(1). 125–135. 10 indexed citations
13.
Bhalothia, Dinesh, Che Yan, Pei‐Chi Chen, et al.. (2021). Submillisecond Laser Annealing Induced Surface and Subsurface Restructuring of Cu–Ni–Pd Trimetallic Nanocatalyst Promotes Thermal CO2 Reduction. ACS Applied Energy Materials. 4(12). 14043–14058. 29 indexed citations
14.
Liang, Sheng‐Kai, Hsiang‐Lin Song, Xiang Yao, et al.. (2021). FOXM1 is required for small cell lung cancer tumorigenesis and associated with poor clinical prognosis. Oncogene. 40(30). 4847–4858. 35 indexed citations
15.
Wu, Shun‐Chi, et al.. (2019). All-Optical Volumetric Physiology for Connectomics in Dense Neuronal Structures. iScience. 22. 133–146. 4 indexed citations
16.
17.
Lin, Ting‐Han & Shun‐Chi Wu. (2018). Sensor fault detection, isolation and reconstruction in nuclear power plants. Annals of Nuclear Energy. 126. 398–409. 24 indexed citations
18.
19.
Wu, Shun‐Chi, A. Lee Swindlehurst, & Zoran Nenadić. (2015). A novel framework for feature extraction in multi-sensor action potential sorting. Journal of Neuroscience Methods. 253. 262–271. 2 indexed citations
20.
Chen, M.-L., et al.. (1999). The Effectiveness of Acupressure in Improving the Quality of Sleep of Institutionalized Residents. The Journals of Gerontology Series A. 54(8). M389–M394. 91 indexed citations

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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