Sheung-Hung Poon

102 total papers · 744 total citations
30 papers, 256 citations indexed

About

Sheung-Hung Poon is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Sheung-Hung Poon has authored 30 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Graphics and Computer-Aided Design, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Theory and Mathematics. Recurrent topics in Sheung-Hung Poon's work include Computational Geometry and Mesh Generation (12 papers), Advanced Graph Theory Research (6 papers) and Data Management and Algorithms (5 papers). Sheung-Hung Poon is often cited by papers focused on Computational Geometry and Mesh Generation (12 papers), Advanced Graph Theory Research (6 papers) and Data Management and Algorithms (5 papers). Sheung-Hung Poon collaborates with scholars based in Hong Kong, Taiwan and Brunei. Sheung-Hung Poon's co-authors include Siu-Wing Cheng, Alexander Wolff, Stefan Funke, Mordecai J. Golin, Edgar A. Ramos, Piyush Kumar, Martin Nöllenburg, Ton Kloks, Mingyu Xiao and Takeaki Uno and has published in prestigious journals such as PLoS ONE, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Sheung-Hung Poon

29 papers receiving 237 citations

Author Peers

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

Author						Papers	Cites
Sheung-Hung Poon	103	88	67	57	52	30	256
Michael A. Bekos	133 1.3×	143 1.6×	44 0.7×	57 1.0×	57 1.1×	51	233
Antoine Vigneron	177 1.7×	96 1.1×	50 0.7×	86 1.5×	49 0.9×	44	307
Subir Kumar Ghosh	192 1.9×	184 2.1×	25 0.4×	53 0.9×	34 0.7×	21	310
Maarten Löffler	216 2.1×	82 0.9×	55 0.8×	134 2.4×	63 1.2×	46	287
Pedro J. de Rezende	113 1.1×	112 1.3×	23 0.3×	54 0.9×	31 0.6×	46	308
G. Schrack	76 0.7×	108 1.2×	51 0.8×	39 0.7×	31 0.6×	34	288
Mahmoud Melkemi	80 0.8×	119 1.4×	77 1.1×	10 0.2×	23 0.4×	34	314
J. Antoni Sellarès	100 1.0×	71 0.8×	25 0.4×	67 1.2×	8 0.2×	42	208
Suneeta Ramaswami	138 1.3×	59 0.7×	51 0.8×	43 0.8×	52 1.0×	28	260
Menelaos I. Karavelas	143 1.4×	87 1.0×	117 1.7×	32 0.6×	52 1.0×	26	286

Countries citing papers authored by Sheung-Hung Poon

Since Specialization

Citations

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

Fields of papers citing papers by Sheung-Hung Poon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheung-Hung Poon. 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 Sheung-Hung Poon. The network helps show where Sheung-Hung Poon may publish in the future.

Co-authorship network of co-authors of Sheung-Hung Poon

This figure shows the co-authorship network connecting the top 25 collaborators of Sheung-Hung Poon. A scholar is included among the top collaborators of Sheung-Hung Poon 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 Sheung-Hung Poon. Sheung-Hung Poon 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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