Wei Wang

19.0k total citations · 4 hit papers
735 papers, 11.6k citations indexed

About

Wei Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Wei Wang has authored 735 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Artificial Intelligence, 148 papers in Computer Vision and Pattern Recognition and 110 papers in Information Systems. Recurrent topics in Wei Wang's work include Topic Modeling (72 papers), Complex Network Analysis Techniques (54 papers) and Advanced Neural Network Applications (52 papers). Wei Wang is often cited by papers focused on Topic Modeling (72 papers), Complex Network Analysis Techniques (54 papers) and Advanced Neural Network Applications (52 papers). Wei Wang collaborates with scholars based in China, United States and Macao. Wei Wang's co-authors include Feng Xia, Junxin Chen, Xiangjie Kong, Zhiguo Gong, Ke Sun, Jiawei Han, Alex X. Liu, Jian Pei, Teshome Megersa Bekele and Wei Wei and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Wei Wang

660 papers receiving 11.2k citations

Hit Papers

Language-agnostic BERT Sentence Embedding 2021 2026 2022 2024 2022 2021 2023 2023 50 100 150

Peers

Wei Wang
Comparison fields: 5 of 221
  • Artificial Intelligence 3.2k
  • Computer Vision and Pattern Recognition 2.2k
  • Information Systems 2.1k
  • Electrical and Electronic Engineering 1.5k
  • Computer Networks and Communications 1.4k
Replace Qi Liu with:
Qi Liu China
Xue Li China
Hui Wang China
Hao Wang China
Jie Lü Australia
Andreas Krause Switzerland
Yanchun Zhang Australia
Chengqi Zhang China
Lior Rokach Israel
Xiaoli Li China
Qi Liu China View profile →
Citations per field, relative to Wei Wang
Wei Wang · 1×
Citations per year, relative to Wei Wang
Wei Wang · 1×

Countries citing papers authored by Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wang. A scholar is included among the top collaborators of Wei 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 Wei Wang. Wei 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
# Work Indexed citations
1 0
2 1
3 1
4 8
5 2
6 2
7 0
8 47
9 2
10 13
11 10
12 0
13 8
14
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction breakdown →
78
15 1
16 11
17
Language-agnostic BERT Sentence Embedding breakdown →
177
18 7
19 29
20 9

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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