Bin Wei

79 papers receiving 681 citations

Peers

Bin Wei
Comparison fields: 5 of 106
  • Computer Graphics and Computer-Aided Design 56
  • Computer Vision and Pattern Recognition 173
  • Computer Networks and Communications 128
  • Human-Computer Interaction 30
  • Artificial Intelligence 173
Replace Shih-Syun Lin with:
Shih-Syun Lin Taiwan
Yi Zhuang China
Sean Peter Walton United Kingdom
Jiwon Kim South Korea
Yichao Zhou China
Shunzhi Zhu China
Zhen Li China
Xin Qi Japan
Roman E. Suvorov Russia
Xuanya Li China
Bin Wei relative to Shih-Syun Lin Taiwan Shih-Syun Lin's profile →
Citations per field
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Shih-Syun Lin · 1×
Citations per year

Countries citing papers authored by Bin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202296
2
Cross Lingual Adaptation: An Experiment on Sentiment Classifications
201061
3 200743
4 202239
5 200037
6 202324
7 201420
8 201719
9 201118
10 201918
11 202016
12 202115
13 200114
14 201814
15 200213
16 200113
17 201112
18 200711
19 202010
20 201510

About Bin Wei

Bin Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Hardware and Architecture, having authored 87 papers that have together received 714 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (11 papers), Peer-to-Peer Network Technologies (8 papers), Computer Graphics and Visualization Techniques (7 papers), Natural Language Processing Techniques (6 papers), Caching and Content Delivery (6 papers), Topic Modeling (5 papers), Advanced Vision and Imaging (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Computer Vision and Pattern Recognition (173 citations), Computer Networks and Communications (128 citations), Human-Computer Interaction (30 citations) and Artificial Intelligence (173 citations). Bin Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Christopher Pal, Engang Tian, Shankar Muthu Krishnan, Rittwik Jana, Dan Zhang, Jinliang Liu, Xun Wang, Claudio T. Silva, Qian Dong and David C. Gibbon. Their work appears in journals such as Multimedia Tools and Applications, Journal of Ambient Intelligence and Humanized Computing, Utilities Policy, European Urology and Computer Communications.

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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