P.Y. Mok

71 papers receiving 1.1k citations

Peers

P.Y. Mok
Comparison fields: 5 of 117
  • Computer Graphics and Computer-Aided Design 135
  • Museology 88
  • Industrial and Manufacturing Engineering 243
  • Marketing 126
  • Computational Mechanics 279
Replace Jonathan Corney with:
Jonathan Corney United Kingdom
Shana Smith Taiwan
Jianjie Chu China
Kevin W. Lyons United States
Saeed Talebi Iran
Alison McKay United Kingdom
Raffaele De Amicis United States
Dengkai Chen China
John Haymaker United States
Kikuo FUJITA Japan
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Citations per field
00.5×10×14.7×
Jonathan Corney · 1×
Citations per year

Countries citing papers authored by P.Y. Mok

Since Specialization
Citations

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

Fields of papers citing papers by P.Y. Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.Y. Mok. 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 P.Y. Mok. The network helps show where P.Y. Mok may publish in the future.

Co-authors

The 25 scholars most cited alongside P.Y. Mok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P.Y. Mok Line = papers co-authored together P.Y. Mok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201269
2 201168
3 201263
4 201061
5 201057
6 201255
7 201351
8 201745
9 200640
10 201138
11 201131
12 200529
13 200829
14 201128
15 201028
16 201927
17 201226
18 200624
19 200523
20 202422

About P.Y. Mok

P.Y. Mok is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Industrial and Manufacturing Engineering, Social Psychology and Computer Graphics and Computer-Aided Design, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (25 papers), Computer Graphics and Visualization Techniques (11 papers), Scheduling and Optimization Algorithms (10 papers), Human Pose and Action Recognition (9 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Assembly Line Balancing Optimization (9 papers), Textile materials and evaluations (8 papers) and Color perception and design (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (135 citations), Museology (88 citations), Industrial and Manufacturing Engineering (243 citations), Marketing (126 citations) and Computational Mechanics (279 citations). P.Y. Mok has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Wai Keung Wong, Xiaogang Jin, Y.L. Kwok, Yi Li, Subramanian Senthilkannan Muthu, Jun Hu, S.Y.S. Leung, C.K. Kwong, Sau Chuen Joe Au and Shufang Lu. Their work appears in journals such as Computer-Aided Design, Textile Research Journal, Ecological Indicators, Expert Systems with Applications and The International Journal of Advanced Manufacturing Technology.

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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