Bo Wei

3.0k citations
121 papers · 2.2k · h-index 28

Impact in

  • Geophysics top 2%
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials
    • earthquake and tectonic studies
    • Speech and Audio Processing

Papers in

Bo Wei

108 papers receiving 2.1k citations

Peers

Bo Wei
Comparison fields: 5 of 115
  • Geophysics 665
  • Signal Processing 351
  • Computer Vision and Pattern Recognition 459
  • Artificial Intelligence 731
  • Computer Networks and Communications 405
Replace Guangmin Hu with:
Guangmin Hu China
Paweł Świętojański United Kingdom
Tianfu Li China
Liguo Zhang China
Jianfeng Chen China
Wenbo Li China
Manish Dixit India
Fei Tian China
Mohd Alauddin Mohd Ali Malaysia
Zhishuai Zhang United States
Bo Wei relative to Guangmin Hu China Guangmin Hu's profile →
Citations per field
00.5×4.6×
Guangmin Hu · 1×
Citations per year

Countries citing papers authored by Bo Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bo Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016214
2 2020142
3 2017129
4 2011117
5 201368
6 202167
7 201567
8 201961
9 201553
10 202053
11 202051
12 201246
13 201945
14 202342
15 202039
16 202236
17
Face Recognition on Smartphones via Optimised Sparse Representation Classification
201435
18 202035
19 202134
20 200833

About Bo Wei

Bo Wei is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Geophysics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (29 papers), Indoor and Outdoor Localization Technologies (25 papers), earthquake and tectonic studies (19 papers), Geochemistry and Geologic Mapping (17 papers), High-pressure geophysics and materials (16 papers), Speech and Audio Processing (11 papers), Context-Aware Activity Recognition Systems (10 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Geophysics (665 citations), Signal Processing (351 citations), Computer Vision and Pattern Recognition (459 citations), Artificial Intelligence (731 citations) and Computer Networks and Communications (405 citations). Bo Wei has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Wen Hu, Christina Yan Wang, Salil S. Kanhere, Chun Tung Chou, Mingrui Yang, Jin Zhang, Wai Lok Woo, Longzhi Yang, Yiran Shen and Yonghua Cao. Their work appears in journals such as Journal of Asian Earth Sciences, IEEE Internet of Things Journal, Lithos, ACM Transactions on Sensor Networks and Economic Geology.

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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