Bei Wang

1.7k total citations · 1 hit paper
61 papers, 1.3k citations indexed

About

Bei Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Bei Wang has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 15 papers in Mechanical Engineering and 13 papers in Cognitive Neuroscience. Recurrent topics in Bei Wang's work include EEG and Brain-Computer Interfaces (13 papers), Fault Detection and Control Systems (11 papers) and Mineral Processing and Grinding (9 papers). Bei Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Fault Detection and Control Systems (11 papers) and Mineral Processing and Grinding (9 papers). Bei Wang collaborates with scholars based in China, Japan and United States. Bei Wang's co-authors include Xuefeng Yan, Qingchao Jiang, Jing Jin, Yu Zhang, Andrzej Cichocki, Xingyu Wang, Yu Wang, Guoxu Zhou, Honn Kao and Zhichao Li and has published in prestigious journals such as Bioresource Technology, Geophysical Research Letters and International Journal of Heat and Mass Transfer.

In The Last Decade

Bei Wang

54 papers receiving 1.3k citations

Hit Papers

Multi-scale receptive fields: Graph attention neural netw... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Wang China 19 328 303 268 237 161 61 1.3k
Mohammad Hossein Rafiei United States 18 140 0.4× 240 0.8× 305 1.1× 366 1.5× 135 0.8× 30 2.6k
Diego S. Benítez Ecuador 17 139 0.4× 325 1.1× 326 1.2× 82 0.3× 470 2.9× 151 1.9k
Ergun Erçelebi Türkiye 16 134 0.4× 410 1.4× 251 0.9× 52 0.2× 237 1.5× 69 1.4k
Han‐Pang Huang Taiwan 20 409 1.2× 129 0.4× 149 0.6× 152 0.6× 157 1.0× 147 1.5k
Wangxin Yu China 4 277 0.8× 455 1.5× 174 0.6× 139 0.6× 85 0.5× 7 1.4k
José Luis Calvo‐Rolle Spain 22 227 0.7× 75 0.2× 370 1.4× 80 0.3× 388 2.4× 139 1.4k
Shih‐Lin Hung Taiwan 22 240 0.7× 97 0.3× 439 1.6× 137 0.6× 167 1.0× 50 1.6k
Qi Xu China 20 190 0.6× 155 0.5× 100 0.4× 129 0.5× 230 1.4× 63 975
Keyu Chen China 21 246 0.8× 242 0.8× 177 0.7× 189 0.8× 598 3.7× 107 2.1k
Alfredo Rosado-Muñoz Spain 20 268 0.8× 190 0.6× 207 0.8× 95 0.4× 863 5.4× 109 1.7k

Countries citing papers authored by Bei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Wang. A scholar is included among the top collaborators of Bei 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 Bei Wang. Bei 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
2.
Zhou, Funa, et al.. (2023). Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client. Expert Systems with Applications. 238. 121982–121982. 24 indexed citations
3.
Ding, Yao, Zhili Zhang, Xiaofeng Zhao, et al.. (2023). Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification. Expert Systems with Applications. 223. 119858–119858. 103 indexed citations breakdown →
4.
Wang, Bei. (2023). An intelligent integration method of AI English teaching resources information under multi-agent cooperation. International Journal of Continuing Engineering Education and Life-Long Learning. 34(1). 88–99.
5.
Wang, Bei, et al.. (2022). Intelligent prediction of fracture parameters in ultra-deep carbonate rocks based on knowledge and data dual drive. Petroleum Science and Technology. 42(6). 635–658.
6.
Chen, Huang, Jin Qin, Bei Wang, et al.. (2022). MC-ViT: Multi-path cross-scale vision transformer for thymoma histopathology whole slide image typing. Frontiers in Oncology. 12. 925903–925903. 10 indexed citations
7.
Ji, Jie, et al.. (2022). Automatic Identification of Printed Circuit Board Vias based on YOLO Algorithm. 1–6. 1 indexed citations
8.
Xu, Ren, et al.. (2021). Coefficient-of-variation-based channel selection with a new testing framework for MI-based BCI. Cognitive Neurodynamics. 16(4). 791–803. 9 indexed citations
9.
Jiang, Qingchao, et al.. (2020). Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application. IEEE Transactions on Industrial Informatics. 17(9). 5867–5875. 128 indexed citations
11.
Jiao, Cheng, Jing Jin, Ian Daly, et al.. (2018). Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling. Biomedizinische Technik/Biomedical Engineering. 0(0). 29–38. 5 indexed citations
12.
Li, Yan, Jie Ye, Panyue Zhang, et al.. (2018). Hydrogen sulfide formation control and microbial competition in batch anaerobic digestion of slaughterhouse wastewater sludge: Effect of initial sludge pH. Bioresource Technology. 259. 67–74. 126 indexed citations
13.
Wang, Bei, et al.. (2016). Fault detection based on polygon area statistics of transformation matrix identified from combined moving window data. Korean Journal of Chemical Engineering. 34(2). 275–286. 2 indexed citations
14.
Wang, Bei, Xuefeng Yan, & Qingchao Jiang. (2016). Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring. Computers & Industrial Engineering. 94. 188–200. 23 indexed citations
15.
Wang, Bei, Xuefeng Yan, & Qingchao Jiang. (2015). Loading-Based Principal Component Selection for PCA Integrated with Support Vector Data Description. Industrial & Engineering Chemistry Research. 54(5). 1615–1627. 10 indexed citations
17.
Wang, Min, Bei Wang, Junzhong Zou, & Masatoshi Nakamura. (2012). A new quantitative evaluation method of spiral drawing for patients with Parkinson’s disease based on a polar coordinate system with varying origin. Physica A Statistical Mechanics and its Applications. 391(18). 4377–4388. 10 indexed citations
18.
Jin, Jing, Brendan Z. Allison, Clemens Brunner, et al.. (2010). P300 Chinese input system based on Bayesian LDA. Biomedizinische Technik/Biomedical Engineering. 55(1). 5–18. 47 indexed citations
19.
Wang, Bei, Takenao Sugi, Fusae Kawana, Xingyu Wang, & Masatoshi Nakamura. (2009). Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method. IEEJ Transactions on Electronics Information and Systems. 129(4). 614–619. 5 indexed citations
20.
Wang, Bei, Takenao Sugi, Xingyu Wang, et al.. (2009). Bipolar EEG Analysis Based on Cross Spectrum: Focal Detection of Slowing Wave for Automatic EEG Interpretation. 1–4. 3 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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