Loc Tran

898 total citations
37 papers, 498 citations indexed

About

Loc Tran is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Loc Tran has authored 37 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in Loc Tran's work include Retinal Imaging and Analysis (7 papers), Medical Image Segmentation Techniques (5 papers) and Retinal Diseases and Treatments (5 papers). Loc Tran is often cited by papers focused on Retinal Imaging and Analysis (7 papers), Medical Image Segmentation Techniques (5 papers) and Retinal Diseases and Treatments (5 papers). Loc Tran collaborates with scholars based in United States, Vietnam and France. Loc Tran's co-authors include Shuiwang Ji, Kim‐Han Thung, Feng Li, Dinggang Shen, Li Jiang, Jong-Woo Kim, Jongwoo Kim, Katherine Liu, Kyel Ok and Nicholas Roy and has published in prestigious journals such as The International Journal of Robotics Research, Computers in Biology and Medicine and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Loc Tran

34 papers receiving 487 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Loc Tran United States 10 161 147 139 129 77 37 498
R. Murugan India 19 293 1.8× 358 2.4× 494 3.6× 229 1.8× 54 0.7× 82 1.0k
Debdatta Kandar India 13 200 1.2× 166 1.1× 88 0.6× 244 1.9× 45 0.6× 54 615
Hatem Khater Egypt 12 86 0.5× 158 1.1× 124 0.9× 101 0.8× 34 0.4× 40 425
Taha H. Rassem Malaysia 13 562 3.5× 267 1.8× 123 0.9× 290 2.2× 61 0.8× 40 1.1k
Li Xie China 14 142 0.9× 78 0.5× 113 0.8× 10 0.1× 13 0.2× 41 465
G. Kavitha India 11 133 0.8× 62 0.4× 124 0.9× 58 0.4× 11 0.1× 73 354
Zhuo Sun China 12 95 0.6× 96 0.7× 25 0.2× 42 0.3× 49 0.6× 52 766
Jasem Almotiri Saudi Arabia 9 118 0.7× 77 0.5× 77 0.6× 18 0.1× 8 0.1× 15 331
Vibhav Prakash Singh India 14 207 1.3× 198 1.3× 99 0.7× 66 0.5× 7 0.1× 56 511
R. Menaka India 16 236 1.5× 231 1.6× 251 1.8× 205 1.6× 4 0.1× 54 1.1k

Countries citing papers authored by Loc Tran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Loc Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Loc Tran. A scholar is included among the top collaborators of Loc Tran 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 Loc Tran. Loc Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fahringer, Timothy W., Loc Tran, & David D. Keck. (2024). Development of the model deformation system at the National Transonic Facility.
2.
3.
Tran, Loc, et al.. (2022). Towards Persistent Space Observations through Autonomous Multi-Agent Formations. AIAA SCITECH 2022 Forum. 1 indexed citations
4.
Kim, Jongwoo, Loc Tran, Tünde Pető, & Emily Y. Chew. (2022). Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis. Diagnostics. 12(5). 1063–1063. 13 indexed citations
5.
Kim, Jong-Woo, Loc Tran, Tünde Pető, & Emily Y. Chew. (2022). Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation. Research Portal (Queen's University Belfast). 1–8. 3 indexed citations
6.
7.
Tran, Loc, et al.. (2021). On a development of sparse PCA method for face recognition problem. 10. 265–269. 2 indexed citations
8.
Bui, Vy, Li‐Yueh Hsu, Sujata M. Shanbhag, et al.. (2020). Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset. Computers in Biology and Medicine. 125. 104019–104019. 9 indexed citations
9.
Tian, Yulun, Katherine Liu, Kyel Ok, et al.. (2020). Search and rescue under the forest canopy using multiple UAVs. The International Journal of Robotics Research. 39(10-11). 1201–1221. 75 indexed citations
10.
11.
Tran, Loc, et al.. (2020). VGG deep neural network compression via SVD and CUR decomposition techniques. 118–123. 12 indexed citations
12.
13.
Dolph, Chester, Loc Tran, & B. Danette Allen. (2018). Towards Explainability of UAV-Based Convolutional Neural Networks for Object Classification. 2018 Aviation Technology, Integration, and Operations Conference. 6 indexed citations
14.
Allen, B. Danette, et al.. (2017). An Autonomous Unmanned Science Mission. 1 indexed citations
15.
Choe, Ronald, Venanzio Cichella, Anna Trujillo, et al.. (2016). Bézier Curves for Safe Cooperative Atmospheric Missions with Multiple Heterogeneous UAS. 1 indexed citations
16.
Li, Feng, Loc Tran, Kim‐Han Thung, et al.. (2015). A Robust Deep Model for Improved Classification of AD/MCI Patients. IEEE Journal of Biomedical and Health Informatics. 19(5). 1610–1616. 199 indexed citations
17.
Tran, Loc, et al.. (2015). Hypergraph and Protein Function Prediction with Gene Expression Data. Journal of Automation and Control Engineering. 3(2). 164–170. 6 indexed citations
18.
Motter, Mark A., et al.. (2015). Towards an Open, Distributed Software Architecture for UxS Operations. NASA Technical Reports Server (NASA). 3 indexed citations
19.
Tran, Loc. (2013). Application of three graph Laplacian based semisupervised learning methods to protein function prediction problem. arXiv (Cornell University). 3(2). 11–26. 5 indexed citations
20.
Tran, Loc, et al.. (2011). Prediction of brain tumor progression using multiple histogram matched MRI scans. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79632U–79632U. 1 indexed citations

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.

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