Loc Tran
Impact in
- Neurology top 5%
- 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)Dinggang Shen (1 shared paper)Feng Li (1 shared paper)Li Jiang (2 shared papers)Jongwoo Kim (2 shared papers)Emily Y. Chew (4 shared papers)Katherine Liu (1 shared paper)
- Journals
- Machine Vision and Applications (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Computers in Biology and Medicine (1 paper)The International Journal of Robotics Research (1 paper)Frontiers in Artificial Intelligence (1 paper)
- Partner nations
- United StatesVietnamFrance
In The Last Decade
Loc Tran
34 papers receiving 505 citations
Peers
Comparison fields: 5 of 77
- Neurology 124
- Computer Vision and Pattern Recognition 162
- Ophthalmology 58
- Health Information Management 31
- Radiology, Nuclear Medicine and Imaging 138
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 | 202 | |
| 2 | 2020 | 79 | |
| 3 | 2021 | 28 | |
| 4 | 2016 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2013 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2022 | 7 | |
| 12 | Reinforcement Learning with Autonomous Small Unmanned Aerial Vehicles in Cluttered Environments | 2015 | 7 |
| 13 | 2015 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 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 515 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Medical Image Segmentation Techniques (5 papers), Retinal Diseases and Treatments (5 papers), Digital Imaging for Blood Diseases (4 papers), Glaucoma and retinal disorders (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 (124 citations), Computer Vision and Pattern Recognition (162 citations), Ophthalmology (58 citations), Health Information Management (31 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). Loc Tran has collaborated with scholars based in United States, Vietnam and France. Frequent co-authors include Kim‐Han Thung, Shuiwang Ji, Dinggang Shen, Feng Li, Li Jiang, Jongwoo Kim, Emily Y. Chew, Katherine Liu, Kyel Ok and Yulun Tian. Their work appears in journals such as Machine Vision and Applications, IEEE Journal of Biomedical and Health Informatics, Computers in Biology and Medicine, The International Journal of Robotics Research and Frontiers in Artificial Intelligence.
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.