Chorkin Chan

401 total citations
34 papers, 285 citations indexed

About

Chorkin Chan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chorkin Chan has authored 34 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chorkin Chan's work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (14 papers) and Handwritten Text Recognition Techniques (7 papers). Chorkin Chan is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (14 papers) and Handwritten Text Recognition Techniques (7 papers). Chorkin Chan collaborates with scholars based in Hong Kong, China and United States. Chorkin Chan's co-authors include Qiang Huo, Jianxiong Wu, Alan H. S. Chan, Yan Xiong, Karen Ng, C.-H. Lee, Chin‐Hui Lee and Dit Yan Yeung and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Chorkin Chan

30 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chorkin Chan Hong Kong	8	203	114	80	21	20	34	285
Hermann Hild United States	10	215 1.1×	158 1.4×	105 1.3×	19 0.9×	30 1.5×	16	335
Jerome R. Bellegarda United States	12	534 2.6×	195 1.7×	61 0.8×	26 1.2×	17 0.8×	50	615
Volker Steinbiss Germany	12	441 2.2×	100 0.9×	34 0.4×	30 1.4×	7 0.3×	16	485
Charles T. Hemphill United States	5	479 2.4×	49 0.4×	83 1.0×	38 1.8×	11 0.6×	16	527
Donghong Han China	10	181 0.9×	52 0.5×	47 0.6×	30 1.4×	29 1.4×	27	261
Khawar Mehmood Pakistan	5	225 1.1×	65 0.6×	35 0.4×	23 1.1×	10 0.5×	8	294
Matt Hoffman United States	7	119 0.6×	134 1.2×	114 1.4×	14 0.7×	57 2.9×	13	263
Zalán Borsos Switzerland	6	220 1.1×	145 1.3×	71 0.9×	11 0.5×	12 0.6×	10	317
Enrico Bocchieri United States	13	628 3.1×	420 3.7×	129 1.6×	13 0.6×	7 0.3×	36	700
Romain Hennequin France	9	132 0.7×	219 1.9×	111 1.4×	46 2.2×	25 1.3×	29	354

Countries citing papers authored by Chorkin Chan

Since Specialization

Citations

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

Fields of papers citing papers by Chorkin Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chorkin Chan

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

Chan, Chorkin. (2005). Voiced/Unvoiced segmentation. 11. 2271–2274.

Chan, Chorkin, et al.. (2002). Bayesian learning of the SCHMM parameters for speech recognition. i. I/221–I/224. 4 indexed citations

Huo, Qiang & Chorkin Chan. (2002). On-line Bayes adaptation of SCHMM parameters for speech recognition. The HKU Scholars Hub (University of Hong Kong). 1. 708–711. 2 indexed citations

Huo, Qiang, Chorkin Chan, & Chin‐Hui Lee. (2002). Segmental quasi-Bayesian learning of the mixture coefficients in SCHMM for speech recognition. 40. 678–681. 2 indexed citations

Xiong, Yan & Chorkin Chan. (2002). Contextual modeling of hand written Chinese character for recognition. I. A comparative study. The HKU Scholars Hub (University of Hong Kong). 2. 1099–1102. 1 indexed citations

Xiong, Yan, Qiang Huo, & Chorkin Chan. (2002). Contextual modeling of hand written Chinese character for recognition. II. Discriminative training. The HKU Scholars Hub (University of Hong Kong). 2. 1095–1098.

Wu, Jianxiong, et al.. (2002). Speaker normalization by input space optimization for continuous density hidden Markov models. 64. 682–685. 1 indexed citations

Chan, Alan H. S. & Chorkin Chan. (2000). Validating the random search model for a double-target search task. Theoretical Issues in Ergonomics Science. 1(2). 157–167. 22 indexed citations

Chan, Chorkin, et al.. (1999). Postprocessing statistical language models for handwritten Chinese character recognizer. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 29(2). 286–291. 19 indexed citations

10.

Chan, Chorkin, et al.. (1996). N-th order Ergodic Multigram HMM for modeling of languages without marked word boundaries. 1. 204–204. 4 indexed citations

11.

Huo, Qiang, Chorkin Chan, & C.-H. Lee. (1996). On-line adaptation of the SCHMM parameters based on the segmental quasi-Bayes learning for speech recognition. IEEE Transactions on Speech and Audio Processing. 4(2). 141–144. 11 indexed citations

12.

Huo, Qiang & Chorkin Chan. (1996). A study on the use of bi-directional contextual dependence in Markov random field-based acoustic modelling for speech recognition. Computer Speech & Language. 10(2). 95–105. 5 indexed citations

13.

Wu, Jianxiong & Chorkin Chan. (1993). Isolated word recognition by neural network models with cross-correlation coefficients for speech dynamics. IEEE Transactions on Pattern Analysis and Machine Intelligence. 15(11). 1174–1185. 15 indexed citations

14.

Huo, Qiang & Chorkin Chan. (1993). The gradient projection method for the training of hidden Markov models. Speech Communication. 13(3-4). 307–313. 7 indexed citations

15.

Chan, Chorkin, et al.. (1992). Prosodic Rules for Connected Mandarin Synthesis.. Journal of information science and engineering. 8(2555). 261–281. 6 indexed citations

16.

Chan, Chorkin & Jianxiong Wu. (1992). Static representation of speech dynamics for isolated word recognition. 1. 529–532 vol.1.

17.

Wu, Jianxiong & Chorkin Chan. (1991). Maximum Likelihood Density Estimation by means of an Artificial Neural Network.. Journal of information science and engineering. 7. 153–172. 1 indexed citations

18.

Wu, Jianxiong & Chorkin Chan. (1991). Recognition of phonetic labels of the timit speech corpus by means of an artificial neural network. Pattern Recognition. 24(11). 1085–1091. 4 indexed citations

19.

Chan, Chorkin & Dit Yan Yeung. (1987). Context-free classification of Mandarin unvoiced initials. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3(2). 66. 1 indexed citations

20.

Chan, Chorkin, et al.. (1975). A performance comparison study between subroutine packages LINSYS, IBMSSP and IMSL for solving systems of linear equations. Journal of Computational and Applied Mathematics. 1(2). 111–113. 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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