Toan Tran

682 total citations
11 papers, 276 citations indexed

About

Toan Tran is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Toan Tran has authored 11 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Toan Tran's work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Toan Tran is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Toan Tran collaborates with scholars based in Vietnam, Australia and United Kingdom. Toan Tran's co-authors include Linh T. Duong, Phuong T. Nguyen, Vuong M. Ngo, Ian Reid, Gustavo Carneiro, Lyle J. Palmer, Trung Pham, Thanh-Toan Do, Tuan Hoang and Hải Thanh Nguyễn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Toan Tran

11 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toan Tran Vietnam 8 108 102 90 36 28 11 276
Vuong M. Ngo Vietnam 8 105 1.0× 73 0.7× 56 0.6× 42 1.2× 27 1.0× 30 273
Kwabena Adu Ghana 9 77 0.7× 110 1.1× 77 0.9× 37 1.0× 14 0.5× 24 287
Kapil Kumar Nagwanshi India 7 70 0.6× 113 1.1× 80 0.9× 16 0.4× 10 0.4× 36 253
Preetham Kumar India 11 218 2.0× 96 0.9× 201 2.2× 35 1.0× 16 0.6× 40 405
Chun‐Nan Chou Taiwan 8 48 0.4× 52 0.5× 98 1.1× 38 1.1× 14 0.5× 18 307
Sameh Abd El-Ghany Saudi Arabia 10 83 0.8× 83 0.8× 49 0.5× 21 0.6× 14 0.5× 29 236
Yufeng Zheng United States 9 95 0.9× 142 1.4× 144 1.6× 14 0.4× 16 0.6× 35 308
Harold Brayan Arteaga-Arteaga Colombia 10 77 0.7× 93 0.9× 98 1.1× 12 0.3× 14 0.5× 17 290
Sundaresan Raman India 10 81 0.8× 38 0.4× 77 0.9× 51 1.4× 22 0.8× 28 282
Fathimathul Rajeena P. P. Saudi Arabia 10 35 0.3× 80 0.8× 48 0.5× 46 1.3× 14 0.5× 16 242

Countries citing papers authored by Toan Tran

Since Specialization
Citations

This map shows the geographic impact of Toan 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 Toan Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toan Tran more than expected).

Fields of papers citing papers by Toan Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toan 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 Toan Tran. The network helps show where Toan Tran may publish in the future.

Co-authorship network of co-authors of Toan Tran

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

All Works

11 of 11 papers shown
1.
Nguyễn, Hải Thanh, et al.. (2024). Fracture Detection in Bone: An Approach with Versions of YOLOv4. SN Computer Science. 5(6). 1 indexed citations
2.
Duong, Linh T., et al.. (2023). Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy. Soft Computing. 28(6). 5029–5044. 7 indexed citations
3.
Le, Trung, et al.. (2021). On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. arXiv (Cornell University). 34. 1 indexed citations
4.
Nguyễn, Hải Thanh, et al.. (2021). An effective way for Taiwanese stock price prediction: Boosting the performance with machine learning techniques. Concurrency and Computation Practice and Experience. 35(15). 7 indexed citations
5.
Duong, Linh T., et al.. (2021). Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning. Expert Systems with Applications. 184. 115519–115519. 114 indexed citations
6.
Nguyễn, Hải Thanh, et al.. (2021). Decoders configurations based on Unet family and feature pyramid network for COVID-19 segmentation on CT images. PeerJ Computer Science. 7. e719–e719. 7 indexed citations
7.
Nguyễn, Hải Thanh, et al.. (2020). Explanation of the Convolutional Neural Network Classifying Chest X-Ray Images Supporting Pneumonia Diagnosis. SHILAP Revista de lepidopterología. 7(21). 165349–165349. 8 indexed citations
8.
Tran, Toan, Thanh-Toan Do, Ian Reid, & Gustavo Carneiro. (2019). Bayesian Generative Active Deep Learning. arXiv (Cornell University). 6295–6304. 9 indexed citations
9.
Do, Thanh-Toan, Toan Tran, Ian Reid, et al.. (2019). A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 10396–10405. 33 indexed citations
10.
Tran, Toan, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, & Ian Reid. (2017). A Bayesian data augmentation approach for learning deep models. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 30. 2797–2806. 57 indexed citations
11.
Nguyen, C. N., Binh T.D. Trinh, Toan Tran, et al.. (2017). Anti-diabetic xanthones from the bark of Garcinia xanthochymus. Bioorganic & Medicinal Chemistry Letters. 27(15). 3301–3304. 32 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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2026