Laiwan Chan

1.5k total citations
59 papers, 652 citations indexed

About

Laiwan Chan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laiwan Chan has authored 59 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 25 papers in Signal Processing and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laiwan Chan's work include Neural Networks and Applications (23 papers), Blind Source Separation Techniques (18 papers) and Bayesian Modeling and Causal Inference (11 papers). Laiwan Chan is often cited by papers focused on Neural Networks and Applications (23 papers), Blind Source Separation Techniques (18 papers) and Bayesian Modeling and Causal Inference (11 papers). Laiwan Chan collaborates with scholars based in Hong Kong, Australia and Germany. Laiwan Chan's co-authors include Chi-Sing Leung, Kun Zhang, Irwin King, Li Teng, Haiqin Yang, Michael R. Lyu, Kaizhu Huang, John Sum, Zhitang Chen and Kun Zhang and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and Neural Computation.

In The Last Decade

Laiwan Chan

56 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laiwan Chan Hong Kong	15	364	130	128	94	77	59	652
Lipo Wang Singapore	12	268 0.7×	117 0.9×	42 0.3×	48 0.5×	41 0.5×	14	499
Răzvan Andonie United States	14	313 0.9×	103 0.8×	83 0.6×	31 0.3×	52 0.7×	76	676
Frank-Michael Schleif Germany	16	573 1.6×	379 2.9×	70 0.5×	52 0.6×	163 2.1×	120	968
Dirk Ormoneit United States	13	319 0.9×	157 1.2×	50 0.4×	121 1.3×	30 0.4×	17	714
Talari Ganesh India	7	430 1.2×	99 0.8×	29 0.2×	68 0.7×	28 0.4×	37	696
I C G Campbell	8	427 1.2×	182 1.4×	53 0.4×	43 0.5×	82 1.1×	10	667
Xiaolong Teng China	5	436 1.2×	347 2.7×	89 0.7×	65 0.7×	65 0.8×	5	884
Xiangrui Cai China	12	431 1.2×	152 1.2×	168 1.3×	29 0.3×	89 1.2×	36	729
I. Cloete South Africa	12	303 0.8×	61 0.5×	32 0.3×	49 0.5×	23 0.3×	37	504

Countries citing papers authored by Laiwan Chan

Since Specialization

Citations

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

Fields of papers citing papers by Laiwan Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laiwan Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Laiwan Chan. A scholar is included among the top collaborators of Laiwan 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 Laiwan Chan. Laiwan 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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20 of 20 papers shown

Cautis, Bogdan, et al.. (2019). Model-free inference of diffusion networks using RKHS embeddings. Data Mining and Knowledge Discovery. 33(2). 499–525. 4 indexed citations

Chen, Zhitang, et al.. (2018). Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models. arXiv (Cornell University). 31. 5206–5216. 3 indexed citations

Chen, Zhitang, Kun Zhang, & Laiwan Chan. (2012). Causal discovery with scale-mixture model for spatiotemporal variance dependencies. MPG.PuRe (Max Planck Society). 25. 1727–1735. 4 indexed citations

Chan, Laiwan, et al.. (2009). Efficient factor GARCH models and factor-DCC models. Quantitative Finance. 9(1). 71–91. 38 indexed citations

Zhang, Kun & Laiwan Chan. (2008). Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis. Journal of Machine Learning Research. 9(81). 2455–2487. 16 indexed citations

Teng, Li & Laiwan Chan. (2008). Discovering Distinct Patterns in Gene Expression Profiles. PubMed. 5(2). 2 indexed citations

Zhang, Kun & Laiwan Chan. (2007). Separating Convolutive Mixtures By Pairwise Mutual Information Minimization. IEEE Signal Processing Letters. 14(12). 992–995. 2 indexed citations

King, Irwin, Laiwan Chan, Jun Wang, & DeLiang Wang. (2006). Proceedings of the 13th international conference on Neural information processing - Volume Part III. International Conference on Neural Information Processing. 2 indexed citations

Li, Jian & Laiwan Chan. (2006). Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 534–541. 5 indexed citations

10.

Huang, Kaizhu, Haiqin Yang, Irwin King, Michael R. Lyu, & Laiwan Chan. (2004). The Minimum Error Minimax Probability Machine. Journal of Machine Learning Research. 5. 1253–1286. 84 indexed citations

11.

Huang, Kaizhu, Haiqin Yang, Irwin King, Michael R. Lyu, & Laiwan Chan. (2004). Biased Minimax Probability Machine for Medical Diagnosis.. Annals of Mathematics and Artificial Intelligence. 17 indexed citations

12.

Leung, Chi-Sing & Laiwan Chan. (2003). Dual extended Kalman filtering in recurrent neural networks. Neural Networks. 16(2). 223–239. 56 indexed citations

13.

Chan, Laiwan. (2003). The prediction performance of independent factor models. 19. 2515–2520. 1 indexed citations

14.

Zhang, Yingqian & Laiwan Chan. (2000). ForeNet : fourier recurrent networks for time series prediction. Data Archiving and Networked Services (DANS). 3 indexed citations

15.

Sum, John, et al.. (1999). Analysis for a class of winner-take-all model. IEEE Transactions on Neural Networks. 10(1). 64–71. 39 indexed citations

16.

Sum, John, Chi-Sing Leung, Laiwan Chan, & Lei Xu. (1997). Yet another algorithm which can generate topography map. IEEE Transactions on Neural Networks. 8(5). 1204–1207. 16 indexed citations

17.

Leung, Chi-Sing, Laiwan Chan, & Edmund Lai. (1997). Stability and statistical properties of second-order bidirectional associative memory. IEEE Transactions on Neural Networks. 8(2). 267–277. 18 indexed citations

18.

Leung, Chi-Sing & Laiwan Chan. (1997). Transmission of vector quantized data over a noisy channel. IEEE Transactions on Neural Networks. 8(3). 582–589. 11 indexed citations

19.

Chan, Laiwan, et al.. (1994). Transformation of back-propagation networks in multiresolution learning. 1. 290–294 vol.1. 2 indexed citations

20.

Chan, Laiwan. (1991). Analysis of the internal representations in neural networks for machine intelligence. National Conference on Artificial Intelligence. 578–582. 4 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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