Bin Wei

68 papers receiving 504 citations

Peers

Bin Wei
Comparison fields: 5 of 104
  • Computer Graphics and Computer-Aided Design 50
  • Computer Vision and Pattern Recognition 139
  • Human-Computer Interaction 28
  • Artificial Intelligence 158
  • Computer Networks and Communications 105
Replace Yuan Cheng with:
Yuan Cheng China
Tong Yu United States
Yi Zhuang China
Shunzhi Zhu China
Jin Zheng China
Pepe Siy United States
Hee-Kap Ahn South Korea
Boris Chidlovskii France
Zhiyang Li China
Weichang Du Canada
Bin Wei relative to Yuan Cheng China Yuan Cheng's profile →
Citations per field
00.5×6.3×
Yuan Cheng · 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cross Lingual Adaptation: An Experiment on Sentiment Classifications
201052
2 200739
3 202237
4 200031
5 201420
6 201918
7 202317
8 201217
9 201115
10 202015
11 201713
12 201813
13 200113
14 201112
15 200212
16 200711
17 200111
18 201510
19 20209
20 20247

About Bin Wei

Bin Wei is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture, having authored 79 papers that have together received 533 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (10 papers), Peer-to-Peer Network Technologies (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Computer Graphics and Visualization Techniques (6 papers), Video Coding and Compression Technologies (5 papers), Parallel Computing and Optimization Techniques (5 papers), Image and Video Quality Assessment (5 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (50 citations), Computer Vision and Pattern Recognition (139 citations), Human-Computer Interaction (28 citations), Artificial Intelligence (158 citations) and Computer Networks and Communications (105 citations). Bin Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Christopher Pal, Engang Tian, Rittwik Jana, Shankar Krishnan, Dan Zhang, Jinliang Liu, Xun Wang, Yih-Farn Robin Chen, David Gibbon and Giuseppe Di Fabbrizio. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Machine Learning and Cybernetics, Scientific Reports, Computer Communications and IEEE Access.

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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