P.Y. Mok

1.8k citations
77 papers · 1.1k indexed · h-index 21

P.Y. Mok

71 papers receiving 1.1k citations

Peers

P.Y. Mok
Comparison fields: 5 of 116
  • Computer Graphics and Computer-Aided Design 134
  • Museology 87
  • Industrial and Manufacturing Engineering 245
  • Marketing 123
  • Computational Mechanics 275
Replace Jonathan Corney with:
Jonathan Corney United Kingdom
Shana Smith Taiwan
Jianjie Chu China
Kevin W. Lyons United States
Brian K. Thorn United States
Yehuda E. Kalay United States
José Duarte United States
Saeed Talebi Iran
Alison McKay United Kingdom
Raffaele De Amicis United States
P.Y. Mok relative to Jonathan Corney United Kingdom Jonathan Corney's profile →
Citations per field
00.5×10×14.5×
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-authorship network

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
#Work
1 20250
2 20251
3 20251
4 20250
5 20241
6 202416
7 20241
8 20242
9 20233
10 20223
11 20226
12 201812
13
Influence of consumer behaviour and governmental policies in China, Hong Kong and India: An eco- impact assessment study of reusable shopping bags
20122
14
Carbon footprint of production processes of polypropylene nonwoven shopping bags
20122
15 201128
16
Garment patterns generating based on 3-D body scanning
20100
17 20101
18 20107
19 200912
20 200624

About P.Y. Mok

P.Y. Mok is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (23 papers), Computer Graphics and Visualization Techniques (11 papers), Scheduling and Optimization Algorithms (10 papers), Assembly Line Balancing Optimization (9 papers), Human Pose and Action Recognition (9 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Textile materials and evaluations (8 papers) and Environmental Impact and Sustainability (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (134 citations), Museology (87 citations) and Industrial and Manufacturing Engineering (245 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, Yi Li, Y.L. Kwok, 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, The International Journal of Advanced Manufacturing Technology, Ecological Indicators, Textile Research Journal and Expert Systems with Applications.

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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