Jen Hong Tan
- Cognitive Neuroscience top 0.2%
- Cardiology and Cardiovascular Medicine top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Biomedical Engineering top 1%
- Artificial Intelligence top 1%
- Co-authors
- U. Rajendra AcharyaYuki HagiwaraShu Lih OhMuhammad AdamHamido FujitaHojjat AdeliRu‐San TanE. Y. K. Ng
- Topics
- ECG Monitoring and Analysis (27 papers)EEG and Brain-Computer Interfaces (26 papers)Retinal Imaging and Analysis (19 papers)
In The Last Decade
Jen Hong Tan
98 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Cognitive Neuroscience 4.4k
- Cardiology and Cardiovascular Medicine 4.3k
- Radiology, Nuclear Medicine and Imaging 2.9k
- Biomedical Engineering 1.8k
- Artificial Intelligence 1.3k
Countries citing papers authored by Jen Hong Tan
This map shows the geographic impact of Jen Hong 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 Jen Hong Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen Hong Tan more than expected).
Fields of papers citing papers by Jen Hong Tan
This network shows the impact of papers produced by Jen Hong 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 Jen Hong Tan. The network helps show where Jen Hong Tan may publish in the future.
Co-authorship network of co-authors of Jen Hong Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Jen Hong Tan. A scholar is included among the top collaborators of Jen Hong 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 Jen Hong Tan. Jen Hong 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 | 3 | |
| 2 | Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus imagesbreakdown → | 336 |
| 3 | 151 | |
| 4 | 14 | |
| 5 | 43 | |
| 6 | Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signalsbreakdown → | 1167 |
| 7 | 1 | |
| 8 | 193 | |
| 9 | 56 | |
| 10 | 93 | |
| 11 | 45 | |
| 12 | 14 | |
| 13 | Thermal pulsation for meibomian gland dysfunction in Asian patients | 1 |
| 14 | Longitudinal changes of tear lipids with lid warming treatment in meibomian gland dysfunction | 1 |
| 15 | 52 | |
| 16 | 2 | |
| 17 | 48 | |
| 18 | 111 | |
| 19 | 55 | |
| 20 | 20 |
About Jen Hong Tan
Jen Hong Tan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 102 papers that have together received 10.4k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (27 papers), EEG and Brain-Computer Interfaces (26 papers) and Retinal Imaging and Analysis (19 papers). The work is most often cited by research in Cognitive Neuroscience (4.4k citations), Cardiology and Cardiovascular Medicine (4.3k citations) and Ophthalmology (1.2k citations). Jen Hong Tan has collaborated with scholars based in Singapore, Malaysia and India. Frequent co-authors include U. Rajendra Acharya, Yuki Hagiwara, Shu Lih Oh, Muhammad Adam, Hamido Fujita, Hojjat Adeli, Ru‐San Tan, E. Y. K. Ng, Oh Shu Lih and Sulatha V. Bhandary. Their work appears in journals such as Journal of Lipid Research, Information Sciences and Journal of Medical Internet Research.
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.