Alan W.C. Tan

737 total citations
33 papers, 452 citations indexed

About

Alan W.C. Tan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Alan W.C. Tan has authored 33 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 9 papers in Biomedical Engineering. Recurrent topics in Alan W.C. Tan's work include Speech and Audio Processing (9 papers), Gait Recognition and Analysis (9 papers) and Human Pose and Action Recognition (8 papers). Alan W.C. Tan is often cited by papers focused on Speech and Audio Processing (9 papers), Gait Recognition and Analysis (9 papers) and Human Pose and Action Recognition (8 papers). Alan W.C. Tan collaborates with scholars based in Malaysia, Singapore and United States. Alan W.C. Tan's co-authors include Shing Chiang Tan, Chin Poo Lee, Kian Ming Lim, M.V.C. Rao, M. Senthil Arumugam, Heng Siong Lim, H. T. Chuah, Chu Kiong Loo, B. S. Daya Sagar and Eng Kiong Wong and has published in prestigious journals such as Journal of Clinical Oncology, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Alan W.C. Tan

31 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan W.C. Tan Malaysia 13 227 217 206 69 69 33 452
Mazen M. Selim Egypt 11 155 0.7× 68 0.3× 119 0.6× 57 0.8× 89 1.3× 33 424
Joyeeta Singha India 15 456 2.0× 136 0.6× 319 1.5× 80 1.2× 90 1.3× 29 676
Surendra Ranganath Singapore 13 349 1.5× 87 0.4× 251 1.2× 77 1.1× 118 1.7× 26 571
Nihan Kahraman Türkiye 10 196 0.9× 62 0.3× 83 0.4× 76 1.1× 51 0.7× 41 457
Jie Yan China 10 279 1.2× 87 0.4× 56 0.3× 101 1.5× 23 0.3× 66 517
Run Zhao China 14 125 0.6× 133 0.6× 210 1.0× 42 0.6× 73 1.1× 36 496
Rakesh Singh Jadon India 10 218 1.0× 54 0.2× 189 0.9× 48 0.7× 42 0.6× 40 416
Yen-Lun Chen China 13 289 1.3× 75 0.3× 177 0.9× 175 2.5× 25 0.4× 37 478
Kil-Houm Park South Korea 13 261 1.1× 68 0.3× 51 0.2× 52 0.8× 25 0.4× 74 506
Congqi Cao China 11 509 2.2× 260 1.2× 294 1.4× 274 4.0× 56 0.8× 26 690

Countries citing papers authored by Alan W.C. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Alan W.C. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan W.C. Tan. 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 Alan W.C. Tan. The network helps show where Alan W.C. Tan may publish in the future.

Co-authorship network of co-authors of Alan W.C. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Alan W.C. Tan. A scholar is included among the top collaborators of Alan W.C. Tan 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 Alan W.C. Tan. Alan W.C. Tan 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.
Lim, Kian Ming, Alan W.C. Tan, & Shing Chiang Tan. (2017). A four dukkha state-space model for hand tracking. Neurocomputing. 267. 311–319. 13 indexed citations
2.
Lim, Heng Siong, et al.. (2017). Exponential Myriad Smoothing Algorithm for Robust Signal Processing in $$\alpha $$ α -Stable Noise Environments. Circuits Systems and Signal Processing. 36(11). 4468–4481. 2 indexed citations
3.
Lee, Chin Poo, Alan W.C. Tan, & Kian Ming Lim. (2017). Review on Vision-Based Gait Recognition: Representations, Classification Schemes and Datasets. American Journal of Applied Sciences. 14(2). 252–266. 12 indexed citations
4.
Tan, Alan W.C., et al.. (2016). Robust voice activity detection using gammatone filtering and entropy. 1–5. 4 indexed citations
5.
Lim, Kian Ming, Alan W.C. Tan, & Shing Chiang Tan. (2016). A feature covariance matrix with serial particle filter for isolated sign language recognition. Expert Systems with Applications. 54. 208–218. 49 indexed citations
6.
Lim, Kian Ming, Alan W.C. Tan, & Shing Chiang Tan. (2016). Block-based histogram of optical flow for isolated sign language recognition. Journal of Visual Communication and Image Representation. 40. 538–545. 33 indexed citations
7.
Lim, Kian Ming, et al.. (2015). Finger spelling recognition using neural network. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 78–81. 2 indexed citations
8.
Lim, Heng Siong, et al.. (2015). Improved Channel Estimation for MIMO Interference Cancellation. IEEE Communications Letters. 19(8). 1355–1357. 8 indexed citations
9.
Lee, Chin Poo, Alan W.C. Tan, & Shing Chiang Tan. (2014). Time-sliced averaged motion history image for gait recognition. Journal of Visual Communication and Image Representation. 25(5). 822–826. 25 indexed citations
10.
Lim, Heng Siong, et al.. (2014). Robust joint CFO and fast time-varying channel tracking for MIMO-OFDM systems. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 6494–6498. 1 indexed citations
11.
Lee, Chin Poo, Alan W.C. Tan, & Shing Chiang Tan. (2014). Gait probability image: An information-theoretic model of gait representation. Journal of Visual Communication and Image Representation. 25(6). 1489–1492. 32 indexed citations
12.
Lee, Chin Poo, Alan W.C. Tan, & Shing Chiang Tan. (2013). Gait recognition via optimally interpolated deformable contours. Pattern Recognition Letters. 34(6). 663–669. 43 indexed citations
13.
Kwek, Lee Chung, Alan W.C. Tan, & Eng Kiong Wong. (2013). GENERALIZED PREDICTIVE CONTROL ON A ROBOTIC MANIPULATOR SYSTEM. International Journal of Robotics and Automation. 28(3). 3 indexed citations
14.
Tan, Alan W.C., et al.. (2011). Music symbol recognition. Sunway Institutional Repository (Sunway University). 1 indexed citations
15.
Lim, Heng Siong, et al.. (2011). Performance comparison of SNR estimators in Gaussian mixture noise. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 327–331. 3 indexed citations
16.
Tan, Alan W.C., et al.. (2010). PSO optimization of synergetic neural classifier for multichannel emotion recognition. 316–321. 19 indexed citations
17.
Arumugam, M. Senthil, M.V.C. Rao, & Alan W.C. Tan. (2008). A novel and effective particle swarm optimization like algorithm with extrapolation technique. Applied Soft Computing. 9(1). 308–320. 54 indexed citations
18.
Tan, Alan W.C., M.V.C. Rao, & B. S. Daya Sagar. (2007). A Discriminative Signal Subspace Speech Classifier. IEEE Signal Processing Letters. 14(2). 133–136. 1 indexed citations
19.
Tan, Alan W.C., M.V.C. Rao, & B. S. Daya Sagar. (2007). A composite signal subspace speech classifier. Signal Processing. 87(11). 2600–2606. 1 indexed citations
20.
Tan, Alan W.C., M.V.C. Rao, & B. S. Daya Sagar. (2006). A signal subspace approach for speech modelling and classification. Signal Processing. 87(3). 500–508. 9 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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