Wei Hua

82 total papers · 706 total citations
50 papers, 419 citations indexed

About

Wei Hua is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Automotive Engineering. According to data from OpenAlex, Wei Hua has authored 50 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 17 papers in Computer Graphics and Computer-Aided Design and 15 papers in Automotive Engineering. Recurrent topics in Wei Hua's work include Computer Graphics and Visualization Techniques (17 papers), Advanced Vision and Imaging (14 papers) and Autonomous Vehicle Technology and Safety (11 papers). Wei Hua is often cited by papers focused on Computer Graphics and Visualization Techniques (17 papers), Advanced Vision and Imaging (14 papers) and Autonomous Vehicle Technology and Safety (11 papers). Wei Hua collaborates with scholars based in China, United States and Hong Kong. Wei Hua's co-authors include Hujun Bao, Rui Wang, Gang Huang, Yuchi Huo, Kun Zhou, Yihong Gong, Mei Han, Wei Xu, Yongfu Li and Zhou Zhou and has published in prestigious journals such as Nature Communications, IEEE Transactions on Industrial Electronics and ACM Transactions on Graphics.

In The Last Decade

Wei Hua

44 papers receiving 408 citations

Author Peers

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

Author Last Decade Papers Cites
Wei Hua 212 113 107 80 72 50 419
Guojun Chen 99 0.5× 36 0.3× 49 0.5× 80 1.0× 40 0.6× 56 420
R.L. Grimsdale 216 1.0× 21 0.2× 205 1.9× 63 0.8× 162 2.3× 43 468
Robert P. Loce 299 1.4× 84 0.7× 19 0.2× 13 0.2× 28 0.4× 49 484
Liping Zheng 240 1.1× 48 0.4× 16 0.1× 54 0.7× 19 0.3× 70 463
Wei Zhao 116 0.5× 19 0.2× 107 1.0× 31 0.4× 160 2.2× 28 408
Yuchi Huo 279 1.3× 23 0.2× 142 1.3× 18 0.2× 70 1.0× 62 408
Paul Lister 293 1.4× 37 0.3× 83 0.8× 25 0.3× 42 0.6× 43 409
Yu‐Wei Zhang 184 0.9× 24 0.2× 150 1.4× 29 0.4× 128 1.8× 31 372
Boris X. Vintimilla 284 1.3× 38 0.3× 27 0.3× 35 0.4× 16 0.2× 37 456
Vikas Pratap Singh 80 0.4× 27 0.2× 42 0.4× 74 0.9× 44 0.6× 31 408

Countries citing papers authored by Wei Hua

Since Specialization
Citations

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

Fields of papers citing papers by Wei Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Hua

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