Loc Tran
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
-
- Digital Imaging for Blood Diseases
- Robotic Path Planning Algorithms
Papers in
-
- Medical Image Segmentation Techniques 5
- Digital Imaging for Blood Diseases 4
- Face and Expression Recognition 3
- Robotic Path Planning Algorithms 3
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- Retinal Imaging and Analysis 7
- Co-authors
- Kim‐Han Thung (2 shared papers)Shuiwang Ji (2 shared papers)Feng Li (1 shared paper)Li Jiang (2 shared papers)Dinggang Shen (1 shared paper)Jong-Woo Kim (2 shared papers)Jongwoo Kim (2 shared papers)Emily Y. Chew (4 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (1 paper)Machine Vision and Applications (1 paper)The International Journal of Robotics Research (1 paper)Computers in Biology and Medicine (1 paper)Diagnostics (1 paper)
- Partner nations
- United StatesVietnamFrance
In The Last Decade
Loc Tran
34 papers receiving 487 citations
Peers
Comparison fields: 5 of 82
- Neurology 129
- Computer Vision and Pattern Recognition 161
- Ophthalmology 70
- Health Information Management 31
- Radiology, Nuclear Medicine and Imaging 139
Countries citing papers authored by Loc Tran
This map shows the geographic impact of Loc Tran'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 Loc Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loc Tran more than expected).
Fields of papers citing papers by Loc Tran
This network shows the impact of papers produced by Loc Tran. 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 Loc Tran. The network helps show where Loc Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Loc Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 199 | |
| 2 | 2020 | 75 | |
| 3 | 2021 | 27 | |
| 4 | 2016 | 27 | |
| 5 | 2019 | 25 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2013 | 11 | |
| 10 | 2020 | 9 | |
| 11 | Reinforcement Learning with Autonomous Small Unmanned Aerial Vehicles in Cluttered Environments | 2015 | 7 |
| 12 | 2018 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2015 | 3 |
About Loc Tran
Loc Tran is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Ophthalmology and Aerospace Engineering, having authored 37 papers that have together received 498 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Retinal Diseases and Treatments (5 papers), Medical Image Segmentation Techniques (5 papers), Glaucoma and retinal disorders (4 papers), Digital Imaging for Blood Diseases (4 papers), Robotics and Sensor-Based Localization (4 papers), Face and Expression Recognition (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Neurology (129 citations), Computer Vision and Pattern Recognition (161 citations), Ophthalmology (70 citations), Health Information Management (31 citations) and Radiology, Nuclear Medicine and Imaging (139 citations). Loc Tran has collaborated with scholars based in United States, Vietnam and France. Frequent co-authors include Kim‐Han Thung, Shuiwang Ji, Feng Li, Li Jiang, Dinggang Shen, Jong-Woo Kim, Jongwoo Kim, Emily Y. Chew, Kyel Ok and Jonathan P. How. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Machine Vision and Applications, The International Journal of Robotics Research, Computers in Biology and Medicine and Diagnostics.
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.