F.H.Y. Chan

423 total citations
9 papers, 340 citations indexed

About

F.H.Y. Chan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, F.H.Y. Chan has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in F.H.Y. Chan's work include Neural Networks and Applications (4 papers), Image and Signal Denoising Methods (3 papers) and ECG Monitoring and Analysis (2 papers). F.H.Y. Chan is often cited by papers focused on Neural Networks and Applications (4 papers), Image and Signal Denoising Methods (3 papers) and ECG Monitoring and Analysis (2 papers). F.H.Y. Chan collaborates with scholars based in Hong Kong, China and Canada. F.H.Y. Chan's co-authors include F.K. Lam, P.A. Parker, Yuan‐Ting Zhang, Yongsheng Yang, Jian Sun, Chunqi Chang, Hung T. Nguyen, M. H. Y. Tang, K. T. Chau and P. C. W. Fung and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Rehabilitation Engineering and The HKU Scholars Hub (University of Hong Kong).

In The Last Decade

F.H.Y. Chan

8 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F.H.Y. Chan Hong Kong	4	288	223	144	76	18	9	340
Elahe Rahimian Canada	11	206 0.7×	128 0.6×	40 0.3×	111 1.5×	6 0.3×	20	305
John W. Kelly United States	9	129 0.4×	426 1.9×	306 2.1×	60 0.8×	6 0.3×	14	517
A. Kostov Canada	9	244 0.8×	319 1.4×	245 1.7×	45 0.6×	3 0.2×	22	453
Sidharth Pancholi India	12	271 0.9×	200 0.9×	102 0.7×	82 1.1×	2 0.1×	22	385
Tamás Kapelner Germany	6	445 1.5×	322 1.4×	258 1.8×	24 0.3×	3 0.2×	6	497
Kairu Li China	10	249 0.9×	169 0.8×	95 0.7×	43 0.6×	3 0.2×	19	316
Dharmendra Gurve Canada	10	83 0.3×	236 1.1×	87 0.6×	41 0.5×	14 0.8×	18	324
Hammad Nazeer Pakistan	10	243 0.8×	269 1.2×	71 0.5×	36 0.5×	2 0.1×	31	425
Suguru Kanoga Japan	11	127 0.4×	220 1.0×	58 0.4×	66 0.9×	3 0.2×	40	294
Keun-Tae Kim South Korea	11	148 0.5×	398 1.8×	220 1.5×	158 2.1×	2 0.1×	32	482

Countries citing papers authored by F.H.Y. Chan

Since Specialization

Citations

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

Fields of papers citing papers by F.H.Y. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.H.Y. Chan. 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 F.H.Y. Chan. The network helps show where F.H.Y. Chan may publish in the future.

Co-authorship network of co-authors of F.H.Y. Chan

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

All Works

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9 of 9 papers shown

Chan, F.H.Y., et al.. (2024). Implementation of Convolutional Neural Networks (CNN) in An Emotion Detection System for Measuring Learning Concentration Levels. SHILAP Revista de lepidopterología. 4(1). 49–61. 1 indexed citations

Chan, F.H.Y., et al.. (2023). An Empirical Study in Transaction Data Augmentation Based on Fuzzy Set Theory for Association Rule Mining. 396–400.

Tang, M. H. Y., Chunqi Chang, P. C. W. Fung, K. T. Chau, & F.H.Y. Chan. (2005). An Improved Method for Discriminating ECG Signals using Typical Nonlinear Dynamic Parameters and Recurrence Quantification Analysis in Cardiac Disease Therapy. PubMed. 2005. 2459–2462. 7 indexed citations

Shen, Minfen, Yuzheng Zhang, K.H. Ting, & F.H.Y. Chan. (2003). Detection of time-varying signals in the noise using normalised radial basis function neural network. The HKU Scholars Hub (University of Hong Kong). 172–175 Vol.1. 1 indexed citations

Chan, F.H.Y., et al.. (2002). A new fuzzy classifier with triangular membership functions. Proceedings of International Conference on Neural Networks (ICNN'97). 1. 479–484. 3 indexed citations

Lam, F.K., et al.. (2002). A new fuzzy approach for pattern recognition with application to EMG classification. Proceedings of International Conference on Neural Networks (ICNN'96). 2. 1109–1114. 9 indexed citations

Chan, F.H.Y., et al.. (2002). Crackle detection and classification based on matched wavelet analysis. The HKU Scholars Hub (University of Hong Kong). 4. 1638–1641. 16 indexed citations

Lam, F.K., et al.. (2002). Multi-resolution decomposition applied to crackle detection. The HKU Scholars Hub (University of Hong Kong). 5. 4223–4226. 2 indexed citations

Chan, F.H.Y., Yongsheng Yang, F.K. Lam, Yuan‐Ting Zhang, & P.A. Parker. (2000). Fuzzy EMG classification for prosthesis control. IEEE Transactions on Rehabilitation Engineering. 8(3). 305–311. 301 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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