Shouyi Wang

1.6k total citations
70 papers, 1.0k citations indexed

About

Shouyi Wang is a scholar working on Cognitive Neuroscience, Plant Science and Signal Processing. According to data from OpenAlex, Shouyi Wang has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Plant Science and 7 papers in Signal Processing. Recurrent topics in Shouyi Wang's work include EEG and Brain-Computer Interfaces (15 papers), Functional Brain Connectivity Studies (6 papers) and Neural dynamics and brain function (5 papers). Shouyi Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Functional Brain Connectivity Studies (6 papers) and Neural dynamics and brain function (5 papers). Shouyi Wang collaborates with scholars based in United States, China and Netherlands. Shouyi Wang's co-authors include W. Art Chaovalitwongse, Jacek Gwizdka, Stephen Wong, Robert Babuška, Changxu Wu, Feng Liu, Yiqi Zhang, Felix Darvas, Michael Cole and Leonidas Iasemidis and has published in prestigious journals such as Energy Conversion and Management, IEEE Access and Analytica Chimica Acta.

In The Last Decade

Shouyi Wang

65 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shouyi Wang United States 17 364 148 108 100 85 70 1.0k
Rajkumar Saini India 20 372 1.0× 233 1.6× 155 1.4× 146 1.5× 90 1.1× 66 1.2k
Gyanendra K. Verma India 14 340 0.9× 399 2.7× 133 1.2× 123 1.2× 326 3.8× 37 1.6k
Galip Aydın Türkiye 17 191 0.5× 365 2.5× 69 0.6× 79 0.8× 64 0.8× 45 1.2k
Mohammed Yeasin United States 21 485 1.3× 406 2.7× 116 1.1× 129 1.3× 251 3.0× 107 1.8k
Minghao Yang China 22 375 1.0× 265 1.8× 79 0.7× 148 1.5× 324 3.8× 118 1.5k
John Collomosse United Kingdom 27 164 0.5× 225 1.5× 126 1.2× 59 0.6× 63 0.7× 110 2.5k
Ali Hassan Pakistan 19 313 0.9× 279 1.9× 125 1.2× 314 3.1× 142 1.7× 91 1.1k
Roberto Prevete Italy 16 236 0.6× 403 2.7× 119 1.1× 51 0.5× 46 0.5× 63 1.1k
Diego H. Peluffo-Ordóńez Ecuador 15 142 0.4× 139 0.9× 124 1.1× 79 0.8× 28 0.3× 115 837

Countries citing papers authored by Shouyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shouyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouyi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shouyi Wang. A scholar is included among the top collaborators of Shouyi Wang 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 Shouyi Wang. Shouyi Wang 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.
Zhang, Huihui, et al.. (2025). Prototype web-based platform for the calculation of crop water stress index for irrigation scheduling – An application note. Computers and Electronics in Agriculture. 230. 109870–109870. 2 indexed citations
2.
Wang, Shouyi, et al.. (2025). Exploring the Intersection of Big Data and AI With CRM Through Descriptive, Network, and Contextual Methods. IEEE Access. 13. 57223–57240. 1 indexed citations
3.
Wang, Shouyi, et al.. (2024). Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum. Journal of Chemical Information and Modeling. 64(12). 4897–4911. 3 indexed citations
7.
Forouzannezhad, Parisa, Daniel S. Hippe, Jie Han, et al.. (2022). Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer. Cancers. 14(5). 1228–1228. 27 indexed citations
8.
Zhou, Qi, et al.. (2022). A Novel Trench-Gated Vertical GaN Transistor With Dual-Current-Aperture by Electric-Field Engineering for High Breakdown Voltage. IEEE Transactions on Electron Devices. 69(3). 1219–1225. 8 indexed citations
10.
Liu, Jin, et al.. (2022). Sparse group selection and analysis offunction‐relatedresidue forprotein‐staterecognition. Journal of Computational Chemistry. 43(20). 1342–1354.
11.
Yang, Yefeng, et al.. (2022). Short-wavelength light induces broiler’s behavioral and physiological syndrome through a misaligned eating rhythm. International journal of agricultural and biological engineering. 15(3). 47–54.
13.
Liu, Xiao, W. Art Chaovalitwongse, Daniel S. Hippe, et al.. (2021). Gradient boosted trees for spatial data and its application to medical imaging data. PubMed. 12(3). 165–179. 8 indexed citations
14.
Duan, Chunyan, W. Art Chaovalitwongse, Daniel S. Hippe, et al.. (2020). Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer. Physics in Medicine and Biology. 65(20). 205007–205007. 6 indexed citations
15.
Wang, Shouyi, et al.. (2020). Wart Treatment Decision Support Using Support Vector Machine. International Journal of Intelligent Systems and Applications. 12(1). 1–11. 16 indexed citations
16.
Wang, Shouyi, Jay Michael Rosenberger, Yuan Bo Peng, et al.. (2019). Emotion Recognition and EEG Analysis Using ADMM-Based Sparse Group Lasso. IEEE Transactions on Affective Computing. 13(1). 199–210. 11 indexed citations
17.
Fallahi, Alireza, Jay Michael Rosenberger, Victoria C. P. Chen, Wei‐Jen Lee, & Shouyi Wang. (2019). Linear Programming for Multi-Agent Demand Response. IEEE Access. 7. 181479–181490. 7 indexed citations
18.
Wang, Shouyi, Qingtao Zhang, Chen Ya, et al.. (2018). Residues, dissipation kinetics, and dietary intake risk assessment of two fungicides in grape and soil. Regulatory Toxicology and Pharmacology. 100. 72–79. 35 indexed citations
19.
Deng, Zhiying, Fang Chen, Yongxiang Zhang, et al.. (2014). Inheritance and QTL analysis of four falling number using recombinant inbred lines derived from strong gluten wheat 'Gaocheng 8901' and waxy wheat 'Nuomai 1'. Australian Journal of Crop Science. 8(4). 468–474. 3 indexed citations
20.
Zhang, Jun, et al.. (2002). Dynamics of total phenolics of resistant soybeans in the process of resisting soybean cyst nematode race3(SCN_(3)). Dadou kexue. 21(1). 71–74. 1 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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