Tan Tian Swee
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 5%
- Co-authors
- Arief R. HarrisNaomie SalimFatin A. ElhajYan Chai HumKhin Wee LaiXike TianLiqiang LuYong Li
- Topics
- Speech Recognition and Synthesis (12 papers)Digital Imaging for Blood Diseases (8 papers)Osteoarthritis Treatment and Mechanisms (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCognitive NeuroscienceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentScientific Reports
In The Last Decade
Tan Tian Swee
84 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cardiology and Cardiovascular Medicine 320
- Cognitive Neuroscience 264
- Computer Vision and Pattern Recognition 249
- Biomedical Engineering 238
- Artificial Intelligence 217
Countries citing papers authored by Tan Tian Swee
This map shows the geographic impact of Tan Tian Swee'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 Tan Tian Swee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Tian Swee more than expected).
Fields of papers citing papers by Tan Tian Swee
This network shows the impact of papers produced by Tan Tian Swee. 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 Tan Tian Swee. The network helps show where Tan Tian Swee may publish in the future.
Co-authorship network of co-authors of Tan Tian Swee
This figure shows the co-authorship network connecting the top 25 collaborators of Tan Tian Swee. A scholar is included among the top collaborators of Tan Tian Swee 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 Tan Tian Swee. Tan Tian Swee 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | Incorporating Fuzzy Logic Into An Adaptive Negative Pressure Wound Therapy Device | 1 |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | GLCM based adaptive crossed reconstructed (ACR) k-mean clustering hand bone segmentation | 11 |
About Tan Tian Swee
Tan Tian Swee is a scholar working on General Dentistry, Computer Vision and Pattern Recognition and Signal Processing, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Digital Imaging for Blood Diseases (8 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (320 citations), Cognitive Neuroscience (264 citations) and Computer Vision and Pattern Recognition (249 citations). Tan Tian Swee has collaborated with scholars based in Malaysia, China and Pakistan. Frequent co-authors include Arief R. Harris, Naomie Salim, Fatin A. Elhaj, Yan Chai Hum, Khin Wee Lai, Xike Tian, Liqiang Lu, Yong Li, Hong‐Seng Gan and Deng Pan. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.
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.