Tommy W. S. Chow

10.0k total citations · 3 hit papers
275 papers, 7.5k citations indexed

About

Tommy W. S. Chow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Tommy W. S. Chow has authored 275 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Artificial Intelligence, 103 papers in Computer Vision and Pattern Recognition and 74 papers in Control and Systems Engineering. Recurrent topics in Tommy W. S. Chow's work include Neural Networks and Applications (61 papers), Face and Expression Recognition (55 papers) and Blind Source Separation Techniques (33 papers). Tommy W. S. Chow is often cited by papers focused on Neural Networks and Applications (61 papers), Face and Expression Recognition (55 papers) and Blind Source Separation Techniques (33 papers). Tommy W. S. Chow collaborates with scholars based in Hong Kong, China and Canada. Tommy W. S. Chow's co-authors include Mingbo Zhao, Zhao Zhang, Haijun Zhang, Chi-Tat Leung, Xiaohang Jin, Jicong Fan, Yu Wang, Yong Fang, Michael Pecht and Di Huang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Tommy W. S. Chow

270 papers receiving 7.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

2013 358 citations Xiaohang Jin, Mingbo Zhao et al. profile →
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis

2023 111 citations Tommy W. S. Chow, Yixuan Yuan et al. Engineering Applications of Artificial Intelligence profile →
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis

2024 48 citations Tommy W. S. Chow, Yixuan Yuan et al. Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tommy W. S. Chow Hong Kong	49	2.8k	2.3k	2.0k	1.1k	917	275	7.5k
Wu Deng China	47	3.0k 1.1×	2.7k 1.2×	1.1k 0.6×	1.5k 1.3×	1.1k 1.2×	153	8.8k
Shifei Ding China	45	4.1k 1.5×	1.1k 0.4×	2.4k 1.2×	430 0.4×	948 1.0×	288	7.8k
Jacek M. Żurada United States	36	3.7k 1.3×	1000 0.4×	1.7k 0.9×	421 0.4×	943 1.0×	208	7.4k
Nianyin Zeng China	43	3.0k 1.1×	1.1k 0.5×	2.6k 1.3×	547 0.5×	980 1.1×	142	9.5k
Vladimir Stojanović Serbia	61	1.8k 0.7×	3.2k 1.4×	1.0k 0.5×	941 0.8×	758 0.8×	87	6.9k
Meng Joo Er Singapore	51	2.8k 1.0×	3.6k 1.5×	1.3k 0.7×	612 0.5×	915 1.0×	304	8.3k
Emil M. Petriu Canada	46	1.9k 0.7×	3.1k 1.3×	1.8k 0.9×	1.0k 0.9×	1.2k 1.3×	508	8.2k
Min Han China	45	2.7k 1.0×	1.6k 0.7×	952 0.5×	500 0.4×	1.2k 1.3×	335	6.5k
A. K. Qin Australia	43	8.2k 3.0×	1.9k 0.8×	1.7k 0.9×	550 0.5×	1.5k 1.7×	218	13.4k
Rik Van de Walle Belgium	36	1.3k 0.5×	1.0k 0.4×	2.2k 1.1×	801 0.7×	736 0.8×	557	6.9k

Countries citing papers authored by Tommy W. S. Chow

Since Specialization

Citations

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

Fields of papers citing papers by Tommy W. S. Chow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tommy W. S. Chow. 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 Tommy W. S. Chow. The network helps show where Tommy W. S. Chow may publish in the future.

Co-authorship network of co-authors of Tommy W. S. Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Tommy W. S. Chow. A scholar is included among the top collaborators of Tommy W. S. Chow 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 Tommy W. S. Chow. Tommy W. S. Chow 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

Chow, Tommy W. S., et al.. (2024). Causal Disentanglement Domain Generalization for time-series signal fault diagnosis. Neural Networks. 172. 106099–106099. 48 indexed citations breakdown →

Wang, Yu, et al.. (2023). A locally weighted multi-domain collaborative adaptation for failure prediction in SSDs. Knowledge-Based Systems. 280. 111012–111012. 3 indexed citations

Ma, Jianghong, et al.. (2023). Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. CityU Scholars. 823–832. 3 indexed citations

Chow, Tommy W. S., et al.. (2023). GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 119. 105794–105794. 111 indexed citations breakdown →

Mao, Mingxuan, et al.. (2022). A Convolutional Neural Network-Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array. IEEE Transactions on Instrumentation and Measurement. 72. 1–9. 13 indexed citations

Chow, Tommy W. S., et al.. (2022). ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. Neural Networks. 157. 202–215. 28 indexed citations

Jin, Xiaohang, Jicong Fan, & Tommy W. S. Chow. (2018). Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods. IEEE Transactions on Instrumentation and Measurement. 68(9). 3128–3136. 43 indexed citations

Jin, Xiaohang, et al.. (2017). MD‐based approaches for system health monitoring: a review. IET Science Measurement & Technology. 11(4). 371–379. 14 indexed citations

Jin, Xiaohang, Yi Sun, Zijun Que, Yu Wang, & Tommy W. S. Chow. (2016). Anomaly Detection and Fault Prognosis for Bearings. IEEE Transactions on Instrumentation and Measurement. 65(9). 2046–2054. 189 indexed citations

10.

Jin, Xiaohang, Tommy W. S. Chow, & Kwok‐Leung Tsui. (2014). Online anomaly detection of brushless dc motor using current monitoring technique. International Journal of Performability Engineering. 10(3). 263–271. 3 indexed citations

11.

Zhang, Zhao, Mingbo Zhao, & Tommy W. S. Chow. (2012). Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition. Neural Networks. 36. 97–111. 29 indexed citations

12.

Chow, Tommy W. S., et al.. (2007). A new feature selection scheme using data distribution factor for transactional data.. The European Symposium on Artificial Neural Networks. 169–174. 1 indexed citations

13.

Wu, Sitao, Tommy W. S. Chow, & Di Huang. (2006). Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine.. International Conference on Image Processing. 138–144. 1 indexed citations

14.

Huang, Di & Tommy W. S. Chow. (2003). Searching optimal feature subset using mutual information. The European Symposium on Artificial Neural Networks. 4(12). 161–166. 3 indexed citations

15.

Fang, Yong & Tommy W. S. Chow. (1997). Neural network adative wavelets for function approximation.. The European Symposium on Artificial Neural Networks. 1 indexed citations

16.

Chow, Tommy W. S. & Jinyan Li. (1997). Higher-order Petri net models based on artificial neural networks. Artificial Intelligence. 92(1-2). 289–300. 11 indexed citations

17.

Li, Jinyan & Tommy W. S. Chow. (1996). Functional Approximation of Higher-Order Neural Networks. Journal of Intelligent Systems. 6(3-4). 239–260. 1 indexed citations

18.

Chow, Tommy W. S. & Chi-Tat Leung. (1996). Performance enhancement using nonlinear preprocessing. IEEE Transactions on Neural Networks. 7(4). 1039–1042. 6 indexed citations

19.

Chow, Tommy W. S. & Chi-Tat Leung. (1995). Neural network piecewise linear preprocessing for time-series prediction.. The European Symposium on Artificial Neural Networks. 3 indexed citations

20.

Leung, S.W., et al.. (1991). An application of linear motor to loudspeaker systems. 106–109. 2 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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