Yan Luximon

2.3k total citations
100 papers, 1.3k citations indexed

About

Yan Luximon is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Yan Luximon has authored 100 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Social Psychology, 22 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Mechanics. Recurrent topics in Yan Luximon's work include Face recognition and analysis (16 papers), 3D Shape Modeling and Analysis (15 papers) and Ergonomics and Musculoskeletal Disorders (13 papers). Yan Luximon is often cited by papers focused on Face recognition and analysis (16 papers), 3D Shape Modeling and Analysis (15 papers) and Ergonomics and Musculoskeletal Disorders (13 papers). Yan Luximon collaborates with scholars based in Hong Kong, China and United States. Yan Luximon's co-authors include Yao Song, Qingchuan Li, Ameersing Luximon, Jiaxin Zhang, Roger Ball, Jie Zhang, Marc Rioux, J.F.M. Molenbroek, Pengcheng Xi and Chang Shu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Computers in Human Behavior and Sensors.

In The Last Decade

Yan Luximon

90 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Luximon Hong Kong 20 345 182 167 155 130 100 1.3k
Jörg Thomaschewski Germany 17 320 0.9× 309 1.7× 233 1.4× 201 1.3× 102 0.8× 82 2.3k
Vincent G. Duffy United States 28 834 2.4× 142 0.8× 188 1.1× 116 0.7× 24 0.2× 157 2.4k
Tom Page United Kingdom 22 170 0.5× 84 0.5× 334 2.0× 75 0.5× 17 0.1× 139 1.7k
Federica Marcolin Italy 21 98 0.3× 496 2.7× 51 0.3× 75 0.5× 54 0.4× 63 1.2k
Hsiang‐Ting Chen Australia 19 99 0.3× 211 1.2× 98 0.6× 47 0.3× 75 0.6× 74 1.2k
Sangwon Lee South Korea 20 111 0.3× 123 0.7× 159 1.0× 145 0.9× 20 0.2× 74 1.3k
An Jacobs Belgium 19 148 0.4× 200 1.1× 105 0.6× 44 0.3× 16 0.1× 93 1.3k
Maria Grazia Violante Italy 17 77 0.2× 117 0.6× 85 0.5× 106 0.7× 32 0.2× 40 1.0k
Neff Walker United States 21 270 0.8× 337 1.9× 111 0.7× 109 0.7× 19 0.1× 52 1.5k
Michael A. Rupp United States 12 352 1.0× 101 0.6× 84 0.5× 68 0.4× 22 0.2× 31 851

Countries citing papers authored by Yan Luximon

Since Specialization
Citations

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

Fields of papers citing papers by Yan Luximon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Luximon. 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 Yan Luximon. The network helps show where Yan Luximon may publish in the future.

Co-authorship network of co-authors of Yan Luximon

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

All Works

20 of 20 papers shown
1.
Zhang, Jie, Luwei Chen, Hang Ren, Yan Luximon, & Ping Li. (2025). Face2Wear: An automatic and user-friendly facewear personalization framework with 3D symmetry-aware face registration using RGB-D selfies. Computer-Aided Design. 185. 103888–103888. 1 indexed citations
2.
Liu, Bo, et al.. (2025). Interface design for visual blind spots in cooperative driving. Behaviour and Information Technology. 44(20). 4906–4924.
3.
Luximon, Yan, et al.. (2024). Understanding the perception of design students towards ChatGPT. Computers and Education Artificial Intelligence. 7. 100281–100281. 9 indexed citations
4.
5.
Luximon, Yan, et al.. (2024). Anticipatory Control on Human-Following Robots Using Online Deep-Model Predictive Control. IEEE Transactions on Industrial Electronics. 72(2). 1702–1711.
6.
Zhang, Jie, Kangneng Zhou, Yan Luximon, Tong‐Yee Lee, & Ping Li. (2024). 3DCMM: 3D Comprehensive Morphable Models With UV-UNet for Accurate Head Creation. IEEE Transactions on Multimedia. 27. 1887–1900. 2 indexed citations
7.
Song, Yao & Yan Luximon. (2024). When Trustworthiness Meets Face: Facial Design for Social Robots. Sensors. 24(13). 4215–4215. 2 indexed citations
8.
Zhang, Jie, Kangneng Zhou, Yan Luximon, Tong‐Yee Lee, & Ping Li. (2023). MeshWGAN: Mesh-to-Mesh Wasserstein GAN With Multi-Task Gradient Penalty for 3D Facial Geometric Age Transformation. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4927–4940. 5 indexed citations
9.
Li, Qingchuan, Yan Luximon, Jiaxin Zhang, & Yao Song. (2023). Measuring and classifying students' cognitive load in pen‐based mobile learning using handwriting, touch gestural and eye‐tracking data. British Journal of Educational Technology. 55(2). 625–653. 7 indexed citations
10.
Zhang, Jie, et al.. (2023). 3D Statistical Head Modeling for Face/head-Related Product Design: A State-of-the-Art Review. Computer-Aided Design. 159. 103483–103483. 17 indexed citations
11.
12.
Song, Yao, Ameersing Luximon, & Yan Luximon. (2023). Facial Anthropomorphic Trustworthiness Scale for Social Robots: A Hybrid Approach. Biomimetics. 8(4). 335–335. 6 indexed citations
13.
Luximon, Yan, et al.. (2023). Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection Without 3D Annotations. IEEE Robotics and Automation Letters. 8(10). 6659–6666. 1 indexed citations
14.
Li, Qingchuan & Yan Luximon. (2022). Navigating the Mobile Applications: The Influence of Interface Metaphor and Other Factors on Older Adults’ Navigation Behavior. International Journal of Human-Computer Interaction. 39(5). 1184–1200. 8 indexed citations
15.
Zhang, Jiaxin & Yan Luximon. (2020). A quantitative diary study of perceptions of security in mobile payment transactions. Behaviour and Information Technology. 40(15). 1579–1602. 22 indexed citations
16.
Fu, Fang & Yan Luximon. (2020). A systematic review on ear anthropometry and its industrial design applications. Human Factors and Ergonomics in Manufacturing & Service Industries. 30(3). 176–194. 16 indexed citations
17.
Li, Qingchuan & Yan Luximon. (2019). Older adults’ use of mobile device: usability challenges while navigating various interfaces. Behaviour and Information Technology. 39(8). 837–861. 54 indexed citations
18.
Li, Qingchuan & Yan Luximon. (2018). Understanding older adults’ post-adoption usage behavior and perceptions of mobile technology. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 12(3). 93–110. 34 indexed citations
19.
Luximon, Yan, et al.. (2018). Three-dimensional human head modelling: a systematic review. Theoretical Issues in Ergonomics Science. 19(6). 658–672. 11 indexed citations
20.
Goonetilleke, Ravindra S. & Yan Luximon. (2009). The relationship between monochronicity, polychronicity and individual characteristics. Behaviour and Information Technology. 29(2). 187–198. 27 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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