Bei Wang

58 papers receiving 1.4k citations

Bei Wang's Hit Papers

Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification 2023 · 122 citations
1220+1+2Years since publication4080120

Peers

Bei Wang
Comparison fields: 5 of 124
  • Cognitive Neuroscience 332
  • Control and Systems Engineering 351
  • Media Technology 99
  • Human-Computer Interaction 64
  • Signal Processing 119
Replace Mohammad Hossein Rafiei with:
Mohammad Hossein Rafiei United States
Martin Längkvist Sweden
Robert J. Schalkoff United States
Luis Recabarren Vergara Spain
Ahmad Ihsan Mohd Yassin Malaysia
Addisson Salazar Spain
Haikun Wei China
Huimin Zhao China
Yang Zheng China
Ryan Rhay P. Vicerra Philippines
Bei Wang relative to Mohammad Hossein Rafiei United States Mohammad Hossein Rafiei's profile →
Citations per field
00.5×2×3.3×
Mohammad Hossein Rafiei · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017224
2 2020145
3 2018129
4
Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification
Hit paper breakdown →
2023122
5 201187
6 201969
7 201054
8 201542
9 201842
10 201941
11 202138
12 202037
13 202033
14 202130
15 201429
16 201427
17 202326
18 201623
19 200322
20 201020

About Bei Wang

Bei Wang is a scholar working on Cognitive Neuroscience, Analytical Chemistry, Control and Systems Engineering, Mechanical Engineering and Human-Computer Interaction, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Fault Detection and Control Systems (11 papers), Spectroscopy and Chemometric Analyses (9 papers), Mineral Processing and Grinding (9 papers), Blind Source Separation Techniques (5 papers), Sleep and Work-Related Fatigue (4 papers), earthquake and tectonic studies (4 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). The work is most often cited by research in Cognitive Neuroscience (332 citations), Control and Systems Engineering (351 citations), Media Technology (99 citations), Human-Computer Interaction (64 citations) and Signal Processing (119 citations). Bei Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xuefeng Yan, Qingchao Jiang, Jing Jin, Yu Zhang, Andrzej S Cichocki, Yu Wang, Xingyu Wang, Guoxu Zhou, Honn Kao and Zhichao Li. Their work appears in journals such as Expert Systems with Applications, Bulletin of the Seismological Society of America, Industrial & Engineering Chemistry Research, IEEE Transactions on Industrial Informatics and Korean Journal of Chemical Engineering.

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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