P.Y. Mok

92 papers receiving 1.4k citations

Peers

P.Y. Mok
Comparison fields: 5 of 90
  • Computer Graphics and Computer-Aided Design 106
  • Museology 120
  • Industrial and Manufacturing Engineering 222
  • Visual Arts and Performing Arts 241
  • Polymers and Plastics 165
Replace Shana Shiang-Fong Smith with:
Shana Shiang-Fong Smith Taiwan
Yinlun Huang United States
Jose Pinto Duarte United States
Raffaele De Amicis United States
Prabir Sarkar India
Alison McKay United Kingdom
Claudio Favi Italy
Yuri Borgianni Italy
Farzad Pour Rahimian United Kingdom
Christopher Earl United Kingdom
P.Y. Mok relative to Shana Shiang-Fong Smith Taiwan Shana Shiang-Fong Smith's profile →
Citations per field
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Shana Shiang-Fong Smith · 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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201197
2 201079
3 201079
4 201273
5 201269
6 201259
7 201359
8 201149
9 201748
10 202446
11 200645
12 201139
13 200536
14 200833
15 201333
16 202333
17 201932
18 200631
19 201131
20 201230

About P.Y. Mok

P.Y. Mok is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design and Museology, having authored 101 papers that have together received 1.5k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (21 papers), Scheduling and Optimization Algorithms (12 papers), Environmental Impact and Sustainability (9 papers), Recommender Systems and Techniques (9 papers), Fashion and Cultural Textiles (8 papers), Textile materials and evaluations (7 papers), Human Pose and Action Recognition (7 papers) and Cultural and Historical Studies (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (106 citations), Museology (120 citations), Industrial and Manufacturing Engineering (222 citations), Visual Arts and Performing Arts (241 citations) and Polymers and Plastics (165 citations). P.Y. Mok has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Yi Li, Wai Keung Wong, Subramanian Senthilkannan Muthu, Junyan Hu, Xiaogang Jin, Y.L. Kwok, S.Y.S. Leung, C.K. Kwong, Sau Chuen Joe Au and Shufang Lu. Their work appears in journals such as Computer-Aided Design, Expert Systems with Applications, Ecological Indicators, Textile Research Journal 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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