Shing Chiang Tan

1.8k total citations
104 papers, 1.2k citations indexed

About

Shing Chiang Tan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shing Chiang Tan has authored 104 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shing Chiang Tan's work include Neural Networks and Applications (18 papers), Software-Defined Networks and 5G (12 papers) and Network Security and Intrusion Detection (12 papers). Shing Chiang Tan is often cited by papers focused on Neural Networks and Applications (18 papers), Software-Defined Networks and 5G (12 papers) and Network Security and Intrusion Detection (12 papers). Shing Chiang Tan collaborates with scholars based in Malaysia, Australia and China. Shing Chiang Tan's co-authors include Chee Peng Lim, Alan W.C. Tan, Chin Poo Lee, Kian Ming Lim, Mohammed Nasser Al-Andoli, Hwa Jen Yap, Kok Swee Sim, Keem Siah Yap, Shen Yuong Wong and Junzo Watada and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Shing Chiang Tan

90 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shing Chiang Tan Malaysia 21 448 290 212 185 168 104 1.2k
Jingwei Too Malaysia 25 830 1.9× 248 0.9× 382 1.8× 100 0.5× 114 0.7× 41 1.7k
Ankit Chaudhary India 16 205 0.5× 416 1.4× 137 0.6× 343 1.9× 138 0.8× 62 1.1k
Stephen Tyree United States 16 529 1.2× 947 3.3× 223 1.1× 415 2.2× 161 1.0× 25 1.5k
Juan José Pantrigo Spain 17 241 0.5× 577 2.0× 137 0.6× 204 1.1× 105 0.6× 52 1.0k
Gang Qian United States 18 273 0.6× 749 2.6× 103 0.5× 132 0.7× 105 0.6× 76 1.4k
Wenjie Ruan United Kingdom 19 743 1.7× 285 1.0× 124 0.6× 114 0.6× 134 0.8× 78 1.5k
Ning Xu China 22 606 1.4× 1.1k 3.8× 123 0.6× 89 0.5× 128 0.8× 154 2.1k
Osama Ahmad Alomari Jordan 25 825 1.8× 227 0.8× 85 0.4× 50 0.3× 139 0.8× 55 1.7k
Mineichi Kudo Japan 18 734 1.6× 611 2.1× 160 0.8× 49 0.3× 121 0.7× 111 1.7k
M. A. H. Akhand Bangladesh 16 458 1.0× 432 1.5× 51 0.2× 73 0.4× 73 0.4× 114 1.3k

Countries citing papers authored by Shing Chiang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shing Chiang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shing Chiang 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 Shing Chiang Tan. The network helps show where Shing Chiang Tan may publish in the future.

Co-authorship network of co-authors of Shing Chiang Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shing Chiang Tan. A scholar is included among the top collaborators of Shing Chiang 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 Shing Chiang Tan. Shing Chiang 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.
Ang, James, Kok Swee Sim, Shing Chiang Tan, & Chee Peng Lim. (2025). Adaptive Contrast Enhancement With Lesion Focusing (ACELF). IEEE Access. 13. 41785–41796.
2.
Sim, K. S., et al.. (2024). Adaptive Gaussian Wiener Filter for CT-Scan Images with Gaussian Noise Variance. SHILAP Revista de lepidopterología. 3(1). 169–181. 5 indexed citations
3.
Sheraz, Muhammad, et al.. (2024). Improving cache-enabled D2D communications using actor–critic networks over licensed and unlicensed spectrum. Journal of King Saud University - Computer and Information Sciences. 36(10). 102249–102249. 1 indexed citations
4.
Tan, Shing Chiang, et al.. (2024). A Comparative Study: Facial Emotion Recognition by Using Deep Learning. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 144–151. 1 indexed citations
5.
Tan, Shing Chiang, et al.. (2023). AI-assisted traffic matrix prediction using GA-enabled deep ensemble learning for hybrid SDN. Computer Communications. 203. 298–311. 5 indexed citations
6.
Al-Andoli, Mohammed Nasser, et al.. (2023). An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection. IEEE Access. 11. 76330–76346. 13 indexed citations
7.
Al-Andoli, Mohammed Nasser, et al.. (2023). An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection. Journal of Intelligent & Fuzzy Systems. 44(6). 10477–10493. 3 indexed citations
8.
Ong, Chia Sui, et al.. (2022). Quantum-Inspired Differential Evolution Algorithm in Probiotics Marker Genes Selection. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 413–417. 2 indexed citations
9.
Haque, Muhammad Reazul, Shing Chiang Tan, Z. Yusoff, et al.. (2021). Automated Controller Placement for Software-Defined Networks to Resist DDoS Attacks. Computers, materials & continua/Computers, materials & continua (Print). 68(3). 3147–3165. 18 indexed citations
10.
Tan, Shing Chiang, et al.. (2019). Hybrid Software-Defined Networking Traffic Scheduling: Energy-Aware Load Balancing Perspective. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Tan, Shing Chiang, et al.. (2017). A double-elimination-tournament-based competitive co-evolutionary artificial neural network classifier. Neurocomputing. 249. 345–356. 7 indexed citations
12.
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
13.
Tan, Shing Chiang, et al.. (2016). Temporal sampling forest ( $$\varvec{\textit{TS-F}}$$ TS - F ): an ensemble temporal learner. Soft Computing. 21(23). 7039–7052. 6 indexed citations
14.
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
15.
Tan, Shing Chiang, et al.. (2014). Temporal Decision Tree and Interpretable Temporal Rules: J48 and Fuzzy Cognitive Maps Approach. 14(1). 1 indexed citations
16.
17.
Razak, Abdul, et al.. (2013). A Decision Model for Insurance Advisors: A Case Study. Procedia Technology. 11. 4–10. 3 indexed citations
18.
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
19.
Tan, Shing Chiang, et al.. (2011). Learning with imbalanced datasets using fuzzy ARTMAP-based neural network models. 30. 1084–1089. 3 indexed citations
20.
Tan, Shing Chiang. (2008). Simulation study of a heuristic near-maximum ant-based dynamic routing. The International Arab Journal of Information Technology. 5. 230–233. 1 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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