P.Y. Mok

1.8k total citations
77 papers, 1.1k citations indexed

About

P.Y. Mok is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Industrial and Manufacturing Engineering. According to data from OpenAlex, P.Y. Mok has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 23 papers in Computational Mechanics and 16 papers in Industrial and Manufacturing Engineering. Recurrent topics in P.Y. Mok's work include 3D Shape Modeling and Analysis (23 papers), Computer Graphics and Visualization Techniques (11 papers) and Scheduling and Optimization Algorithms (10 papers). P.Y. Mok is often cited by papers focused on 3D Shape Modeling and Analysis (23 papers), Computer Graphics and Visualization Techniques (11 papers) and Scheduling and Optimization Algorithms (10 papers). P.Y. Mok collaborates with scholars based in Hong Kong, China and United Kingdom. P.Y. Mok's co-authors include Wai Keung Wong, Xiaogang Jin, Yi Li, Y.L. Kwok, Subramanian Senthilkannan Muthu, S.Y.S. Leung, Jun Hu, C.K. Kwong, Sau Chuen Joe Au and Shufang Lu and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and Atmospheric Environment.

In The Last Decade

P.Y. Mok

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
P.Y. Mok Hong Kong	21	275	245	179	171	171	77	1.1k
Jonathan Corney United Kingdom	22	368 1.3×	736 3.0×	246 1.4×	32 0.2×	53 0.3×	148	1.7k
Shana Smith Taiwan	21	125 0.5×	662 2.7×	187 1.0×	151 0.9×	9 0.1×	73	1.6k
Brian K. Thorn United States	11	84 0.3×	234 1.0×	55 0.3×	76 0.4×	16 0.1×	28	1.8k
Kevin W. Lyons United States	24	136 0.5×	1.3k 5.2×	232 1.3×	41 0.2×	14 0.1×	76	2.0k
José Duarte United States	25	20 0.1×	254 1.0×	112 0.6×	153 0.9×	26 0.2×	159	2.5k
Saeed Talebi Iran	16	103 0.4×	125 0.5×	52 0.3×	32 0.2×	16 0.1×	99	1.1k
A.M.M. Sharif Ullah Japan	18	63 0.2×	302 1.2×	42 0.2×	25 0.1×	21 0.1×	71	1.1k
Jianjie Chu China	13	13 0.0×	92 0.4×	22 0.1×	201 1.2×	7 0.0×	79	725
Kikuo FUJITA Japan	20	78 0.3×	414 1.7×	16 0.1×	52 0.3×	8 0.0×	155	1.4k
John Haymaker United States	20	87 0.3×	174 0.7×	164 0.9×	132 0.8×	3 0.0×	59	1.5k

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 of co-authors of P.Y. Mok

This figure shows the co-authorship network connecting the top 25 collaborators of P.Y. Mok. A scholar is included among the top collaborators of P.Y. Mok 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 P.Y. Mok. P.Y. Mok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mok, P.Y., et al.. (2025). Blockchain-driven innovation in fashion supply chain contractual party evaluations as an emerging collaboration model. Blockchain Research and Applications. 6(2). 100266–100266. 1 indexed citations

Mok, P.Y., et al.. (2025). Artificial Intelligence Assisted Creativity: Conceptualization, Instrument Development and Validation. The Journal of Creative Behavior. 59(1). 1 indexed citations

Peng, Jihua, et al.. (2025). A cross-feature interaction network for 3D human pose estimation. Pattern Recognition Letters. 189. 175–181.

Li, Junting, et al.. (2025). Feature Field Fusion for few-shot novel view synthesis. Image and Vision Computing. 156. 105465–105465.

Liang, Jiahao, et al.. (2024). Tailoring Garment Fit for Personalized Body Image Enhancement: Insights from Digital Fitting Research. Journal of theoretical and applied electronic commerce research. 19(2). 942–957. 1 indexed citations

Mok, P.Y., et al.. (2024). Knowledge enhanced multi-task learning for simultaneous optimization of human parsing and pose estimation. Engineering Applications of Artificial Intelligence. 138. 109413–109413. 1 indexed citations

Peng, Jihua, et al.. (2024). KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1123–1132. 16 indexed citations

Ding, Yujuan, et al.. (2022). Modeling Field-Level Factor Interactions for Fashion Recommendation. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 6 indexed citations

Mok, P.Y., et al.. (2022). A Pose-Aware Global Representation Network for Human Parsing. IEEE Transactions on Circuits and Systems for Video Technology. 33(4). 1710–1724. 3 indexed citations

10.

To, Chester K.M., et al.. (2018). Collaboration reasoning or social heuristics? Value proposition validity in omnium-gatherum business models. Journal of Business Research. 88. 550–559. 12 indexed citations

11.

Lu, Shufang, P.Y. Mok, & Xiaogang Jin. (2014). From design methodology to evolutionary design: An interactive creation of marble-like textile patterns. Engineering Applications of Artificial Intelligence. 32. 124–135. 9 indexed citations

12.

Muthu, Subramanian Senthilkannan, Yi Li, Junyan Hu, P.Y. Mok, & Xuemei Ding. (2012). Influence of consumer behaviour and governmental policies in China, Hong Kong and India: An eco- impact assessment study of reusable shopping bags. Research Explorer (The University of Manchester). 28(2). 1131–1144. 2 indexed citations

13.

Muthu, Subramanian Senthilkannan, et al.. (2012). Carbon footprint of production processes of polypropylene nonwoven shopping bags. Fibres and Textiles in Eastern Europe. 20(3). 12–15. 2 indexed citations

14.

Wang, Yijie, P.Y. Mok, Yi Li, & Y.L. Kwok. (2011). Body measurements of Chinese males in dynamic postures and application. Applied Ergonomics. 42(6). 900–912. 28 indexed citations

15.

Mok, P.Y., et al.. (2010). Garment patterns generating based on 3-D body scanning. Textile Research Journal. 31(9).

16.

Mok, P.Y., et al.. (2010). Effects of waist and lower limb movements on clothing ease design. Textile Research Journal. 31(3). 92–97. 1 indexed citations

17.

Mok, P.Y., et al.. (2010). Determination of 3D necklines from scanned human bodies. Textile Research Journal. 81(7). 746–756. 7 indexed citations

18.

Muthu, Subramanian Senthilkannan, Yi Li, Junyan Hu, & P.Y. Mok. (2009). An Exploratory Comparative Study on Eco-Impact of Paper and Plastic Bags. Journal of Fiber Bioengineering and Informatics. 1(4). 718–730. 12 indexed citations

19.

Kwong, C.K., P.Y. Mok, & Wai Keung Wong. (2006). Determination of fault-tolerant fabric-cutting schedules in a just-in-time apparel manufacturing environment. International Journal of Production Research. 44(21). 4465–4490. 14 indexed citations

20.

Mok, P.Y., et al.. (2002). Stock price prediction using intraday and AHIPMI data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2167–2171 vol.5. 3 indexed citations

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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