Wei Mao

35 total papers · 1.5k total citations
17 papers, 675 citations indexed

About

Wei Mao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Wei Mao has authored 17 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Wei Mao's work include Human Motion and Animation (4 papers), Advanced Vision and Imaging (4 papers) and Human Pose and Action Recognition (4 papers). Wei Mao is often cited by papers focused on Human Motion and Animation (4 papers), Advanced Vision and Imaging (4 papers) and Human Pose and Action Recognition (4 papers). Wei Mao collaborates with scholars based in China, Australia and United States. Wei Mao's co-authors include Miaomiao Liu, Mathieu Salzmann, Hongdong Li, José M. Alvarez, Jiayu Yang, Zhuo Zhang, Yang Li, Yue Yang, Yiran Wang and Jiachen Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Measurement Science and Technology.

In The Last Decade

Wei Mao

16 papers receiving 650 citations

Hit Papers

Learning trajectory depen... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wei Mao 574 171 117 109 82 17 675
Ju Shen 582 1.0× 105 0.6× 109 0.9× 154 1.4× 105 1.3× 38 769
Kuan Fang 493 0.9× 272 1.6× 186 1.6× 98 0.9× 130 1.6× 16 713
Fabian Manhardt 490 0.9× 405 2.4× 62 0.5× 89 0.8× 288 3.5× 24 736
Jonathan Tremblay 397 0.7× 269 1.6× 145 1.2× 56 0.5× 111 1.4× 24 616
Sergi Foix 340 0.6× 64 0.4× 39 0.3× 123 1.1× 133 1.6× 22 790
Benjamin Pitzer 241 0.4× 227 1.3× 101 0.9× 35 0.3× 167 2.0× 16 572
Kai Xu 282 0.5× 283 1.7× 68 0.6× 62 0.6× 91 1.1× 23 733
He Wang 399 0.7× 149 0.9× 114 1.0× 79 0.7× 102 1.2× 38 577
Silvio Giancola 415 0.7× 34 0.2× 137 1.2× 46 0.4× 70 0.9× 31 629
Kwan-Yee Lin 495 0.9× 65 0.4× 43 0.4× 36 0.3× 83 1.0× 18 589

Countries citing papers authored by Wei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Mao. A scholar is included among the top collaborators of Wei Mao 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 Mao. Wei Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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