Shengpei Wang

848 total citations
41 papers, 604 citations indexed

About

Shengpei Wang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Shengpei Wang has authored 41 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Shengpei Wang's work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and EEG and Brain-Computer Interfaces (9 papers). Shengpei Wang is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and EEG and Brain-Computer Interfaces (9 papers). Shengpei Wang collaborates with scholars based in China, Japan and United States. Shengpei Wang's co-authors include Huiguang He, Shuang Qiu, Hongwei Wen, Shuang Qiu, Wei Wei, Bo Wang, Haibao Wang, Yun Peng, M. Nakaoka and Islem Rekik and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Shengpei Wang

38 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengpei Wang China 14 274 225 98 92 71 41 604
Chunlan Yang China 12 181 0.7× 253 1.1× 60 0.6× 17 0.2× 41 0.6× 37 528
Jianfeng Wu United States 13 126 0.5× 144 0.6× 88 0.9× 12 0.1× 73 1.0× 34 491
Claudio M. Privitera United States 15 450 1.6× 154 0.7× 528 5.4× 31 0.3× 169 2.4× 45 1.2k
Kun‐Han Lu United States 13 427 1.6× 127 0.6× 85 0.9× 34 0.4× 4 0.1× 22 664
Dongrae Cho South Korea 13 323 1.2× 84 0.4× 38 0.4× 42 0.5× 7 0.1× 26 677
Luca Lonini United States 14 172 0.6× 50 0.2× 101 1.0× 23 0.3× 8 0.1× 24 749
Vivek Kumar Singh United States 8 414 1.5× 336 1.5× 180 1.8× 11 0.1× 6 0.1× 32 867
Scott A. Beardsley United States 12 366 1.3× 155 0.7× 37 0.4× 13 0.1× 9 0.1× 46 631
Xiaoxiao Wang China 14 302 1.1× 120 0.5× 206 2.1× 8 0.1× 17 0.2× 52 691
Joseph C. Griffis United States 19 685 2.5× 335 1.5× 31 0.3× 7 0.1× 15 0.2× 30 1.0k

Countries citing papers authored by Shengpei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengpei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengpei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengpei Wang. A scholar is included among the top collaborators of Shengpei 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 Shengpei Wang. Shengpei 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.
Chen, Ying, Shengpei Wang, Chi Wang, et al.. (2025). Establishment of a Machine Learning‐Based Prediction Model for Short‐Term Adverse Prognosis in Neonatal Bacterial Meningitis. SHILAP Revista de lepidopterología. 3(3). 292–302.
2.
Chen, Ying, Shengpei Wang, Jing Wu, et al.. (2025). Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis. Jornal de Pediatria. 102(1). 101472–101472.
3.
Liang, Changhu, et al.. (2024). Disrupted brain structural networks associated with depression and cognitive dysfunction in cerebral small vessel disease with microbleeds. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 131. 110944–110944. 2 indexed citations
4.
Wang, Shengpei, Mengmeng Feng, Qihao Zhang, et al.. (2023). Disrupted Gray Matter Networks Associated with Cognitive Dysfunction in Cerebral Small Vessel Disease. Brain Sciences. 13(10). 1359–1359. 2 indexed citations
5.
6.
Du, Changde, et al.. (2023). Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations. IEEE Transactions on Affective Computing. 15(3). 1026–1040. 5 indexed citations
7.
Wen, Hongwei, Shengpei Wang, Mengmeng Feng, et al.. (2022). Characterization of white matter microstructural abnormalities associated with cognitive dysfunction in cerebral small vessel disease with cerebral microbleeds. Journal of Affective Disorders. 324. 259–269. 8 indexed citations
8.
Du, Changde, et al.. (2022). Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9026–9040. 8 indexed citations
9.
Wang, Shengpei, Hongwei Wen, Shuang Qiu, et al.. (2022). Driving brain state transitions in major depressive disorder through external stimulation. Human Brain Mapping. 43(17). 5326–5339. 8 indexed citations
10.
Wen, Hongwei, Lixin Gao, Rui Li, et al.. (2022). Morphological brain changes between active and inactive phases of thyroid-associated ophthalmopathy: A voxel-based morphometry study. Brain Research. 1790. 147989–147989. 13 indexed citations
11.
Qiu, Shuang, Shengpei Wang, Weiwei Peng, et al.. (2021). Continuous theta-burst stimulation modulates resting-state EEG microstates in healthy subjects. Cognitive Neurodynamics. 16(3). 621–631. 13 indexed citations
12.
Qiu, Shuang, et al.. (2021). Target Detection Using Ternary Classification During a Rapid Serial Visual Presentation Task Using Magnetoencephalography Data. Frontiers in Computational Neuroscience. 15. 619508–619508. 6 indexed citations
13.
Wang, Shengpei, Yun Li, Shuang Qiu, et al.. (2020). Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep. NeuroImage Clinical. 25. 102188–102188. 25 indexed citations
14.
Qiu, Shuang, et al.. (2019). The lasting effects of 1Hz repetitive transcranial magnetic stimulation on resting state EEG in healthy subjects. PubMed. 2019. 5918–5922. 1 indexed citations
15.
Li, Yun, Shengpei Wang, Chuxiong Pan, et al.. (2018). Comparison of NREM sleep and intravenous sedation through local information processing and whole brain network to explore the mechanism of general anesthesia. PLoS ONE. 13(2). e0192358–e0192358. 20 indexed citations
16.
Zhang, Miao, Shengpei Wang, Di Hu, et al.. (2018). Altered brain functional network in children with type 1 Gaucher disease: a longitudinal graph theory-based study. Neuroradiology. 61(1). 63–70. 6 indexed citations
17.
Wen, Hongwei, Yue Liu, Islem Rekik, et al.. (2017). Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children. Human Brain Mapping. 38(8). 3988–4008. 41 indexed citations
18.
19.
Wang, Shengpei, et al.. (2002). Power supply for silent discharge type load. 1. 581–587. 9 indexed citations
20.
Wang, Shengpei, et al.. (2000). Voltage-Fed Pulse Density and Pulse Width Modulation Resonant Inverter for Silent Discharge Type Ozonizer. IEEJ Transactions on Industry Applications. 120(4). 587–592. 8 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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