Wai‐Man Pang

69 total papers · 1.1k total citations
53 papers, 752 citations indexed

About

Wai‐Man Pang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Wai‐Man Pang has authored 53 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Graphics and Computer-Aided Design and 13 papers in Computational Mechanics. Recurrent topics in Wai‐Man Pang's work include Computer Graphics and Visualization Techniques (16 papers), 3D Shape Modeling and Analysis (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Wai‐Man Pang is often cited by papers focused on Computer Graphics and Visualization Techniques (16 papers), 3D Shape Modeling and Analysis (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Wai‐Man Pang collaborates with scholars based in Hong Kong, China and Japan. Wai‐Man Pang's co-authors include Pheng‐Ann Heng, Jing Qin, Tien‐Tsin Wong, Kup‐Sze Choi, Yingge Qu, Mingqiang Wei, Jun Wang, Daniel Cohen‐Or, Jinze Yu and Ligang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Wai‐Man Pang

52 papers receiving 719 citations

Author Peers

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

Author Last Decade Papers Cites
Wai‐Man Pang 398 262 246 86 74 53 752
Mashhuda Glencross 232 0.6× 160 0.6× 90 0.4× 123 1.4× 173 2.3× 51 668
Pere‐Pau Vázquez 638 1.6× 301 1.1× 135 0.5× 34 0.4× 62 0.8× 80 881
Joaquim Madeira 300 0.8× 97 0.4× 79 0.3× 54 0.6× 161 2.2× 36 765
Taehyun Rhee 563 1.4× 144 0.5× 194 0.8× 72 0.8× 306 4.1× 55 825
John Dingliana 512 1.3× 349 1.3× 175 0.7× 72 0.8× 83 1.1× 52 743
Frédéric Cordier 356 0.9× 354 1.4× 531 2.2× 31 0.4× 79 1.1× 45 843
Aladine Chetouani 442 1.1× 63 0.2× 129 0.5× 37 0.4× 17 0.2× 87 731
Xueming Yu 577 1.4× 270 1.0× 164 0.7× 45 0.5× 156 2.1× 26 730
Kevin Novins 561 1.4× 147 0.6× 97 0.4× 58 0.7× 109 1.5× 35 851
Georges‐Pierre Bonneau 305 0.8× 283 1.1× 312 1.3× 23 0.3× 27 0.4× 38 643

Countries citing papers authored by Wai‐Man Pang

Since Specialization
Citations

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

Fields of papers citing papers by Wai‐Man Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai‐Man Pang. 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 Wai‐Man Pang. The network helps show where Wai‐Man Pang may publish in the future.

Co-authorship network of co-authors of Wai‐Man Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Man Pang. A scholar is included among the top collaborators of Wai‐Man Pang 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 Wai‐Man Pang. Wai‐Man Pang 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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