Lewei Yao

34 total papers · 950 total citations
10 papers, 311 citations indexed

About

Lewei Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Lewei Yao has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Lewei Yao's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Lewei Yao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (5 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Lewei Yao collaborates with scholars based in Sweden, Hong Kong and China. Lewei Yao's co-authors include Zhenguo Li, Hang Xu, Xiaodan Liang, Wei Zhang, Wei Zhang, Jianhua Han, Dan Xu, Wei Zhang, Jipeng Zhang and Jiahui Gao and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Lewei Yao

10 papers receiving 310 citations

Author Peers

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

Author Last Decade Papers Cites
Lewei Yao 230 138 29 23 22 10 311
Timo Lüddecke 202 0.9× 102 0.7× 22 0.8× 10 0.4× 19 0.9× 13 299
Hengduo Li 255 1.1× 106 0.8× 27 0.9× 18 0.8× 18 0.8× 11 308
Chenxin Tao 238 1.0× 100 0.7× 58 2.0× 24 1.0× 35 1.6× 8 309
Mingkai Zheng 103 0.4× 120 0.9× 16 0.6× 30 1.3× 17 0.8× 9 267
Ting-Bing Xu 217 0.9× 159 1.2× 43 1.5× 10 0.4× 26 1.2× 17 327
Minghang Zheng 308 1.3× 134 1.0× 29 1.0× 22 1.0× 17 0.8× 8 352
Aouaidjia Kamel 245 1.1× 84 0.6× 12 0.4× 10 0.4× 10 0.5× 9 328
Gongfan Fang 160 0.7× 154 1.1× 13 0.4× 21 0.9× 14 0.6× 11 309
Md Amirul Islam 211 0.9× 75 0.5× 18 0.6× 21 0.9× 53 2.4× 15 284
Yongxi Lu 250 1.1× 139 1.0× 30 1.0× 17 0.7× 29 1.3× 5 348

Countries citing papers authored by Lewei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Lewei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lewei Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Lewei Yao. A scholar is included among the top collaborators of Lewei Yao 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 Lewei Yao. Lewei Yao 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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