Shing Chiang Tan
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Human-Computer Interaction top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Chee Peng LimAlan W.C. TanChin Poo LeeKian Ming LimMohammed Nasser Al-AndoliKok Swee SimHwa Jen YapShen Yuong Wong
- Topics
- Neural Networks and Applications (18 papers)Software-Defined Networks and 5G (12 papers)Network Security and Intrusion Detection (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
In The Last Decade
Shing Chiang Tan
90 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 448
- Computer Vision and Pattern Recognition 290
- Biomedical Engineering 212
- Human-Computer Interaction 185
- Control and Systems Engineering 168
Countries citing papers authored by Shing Chiang Tan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 18 | |
| 12 | 12 | |
| 13 | Hybrid Software-Defined Networking Traffic Scheduling: Energy-Aware Load Balancing Perspective | 1 |
| 14 | 11 | |
| 15 | 49 | |
| 16 | 2 | |
| 17 | Temporal Decision Tree and Interpretable Temporal Rules: J48 and Fuzzy Cognitive Maps Approach | 1 |
| 18 | Simulation study of a heuristic near-maximum ant-based dynamic routing | 1 |
| 19 | 4 | |
| 20 | 1 |
About Shing Chiang Tan
Shing Chiang Tan is a scholar working on Artificial Intelligence, Human-Computer Interaction and Signal Processing, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Software-Defined Networks and 5G (12 papers) and Network Security and Intrusion Detection (12 papers). The work is most often cited by research in Human-Computer Interaction (185 citations), Computer Vision and Pattern Recognition (290 citations) and Artificial Intelligence (448 citations). Shing Chiang Tan has collaborated with scholars based in Malaysia, Australia and China. Frequent co-authors include Chee Peng Lim, Alan W.C. Tan, Chin Poo Lee, Kian Ming Lim, Mohammed Nasser Al-Andoli, Kok Swee Sim, Hwa Jen Yap, Shen Yuong Wong, Keem Siah Yap and Junzo Watada. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.