Thi-Thao Tran

1.0k total citations
75 papers, 587 citations indexed

About

Thi-Thao Tran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Thi-Thao Tran has authored 75 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in Thi-Thao Tran's work include Medical Image Segmentation Techniques (19 papers), AI in cancer detection (18 papers) and Advanced Neural Network Applications (14 papers). Thi-Thao Tran is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), AI in cancer detection (18 papers) and Advanced Neural Network Applications (14 papers). Thi-Thao Tran collaborates with scholars based in Vietnam, Taiwan and Russia. Thi-Thao Tran's co-authors include Van-Truong Pham, Kuo‐Kai Shyu, Men‐Tzung Lo, Pa‐Chun Wang, Po‐Lei Lee, Trần Văn Sung, Chen Lin, Lian‐Yu Lin, Nguyen Thi Ai Nhung and Thanh Q. Bui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Dental Research.

In The Last Decade

Thi-Thao Tran

69 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thi-Thao Tran Vietnam 14 232 106 87 64 63 75 587
Xinyu Lin China 13 250 1.1× 155 1.5× 293 3.4× 11 0.2× 77 1.2× 58 773
Fawaz Waselallah Alsaade Saudi Arabia 14 106 0.5× 245 2.3× 95 1.1× 86 1.3× 39 0.6× 51 822
Yurong Chen China 16 124 0.5× 87 0.8× 81 0.9× 15 0.2× 92 1.5× 53 655
Mohammad Motiur Rahman Bangladesh 18 263 1.1× 305 2.9× 258 3.0× 115 1.8× 49 0.8× 89 1.1k
Pronab Ghosh Bangladesh 15 111 0.5× 437 4.1× 266 3.1× 51 0.8× 53 0.8× 25 967
Ziyi Wang China 11 284 1.2× 76 0.7× 37 0.4× 35 0.5× 47 0.7× 30 1.1k
Qingde Li United Kingdom 15 314 1.4× 121 1.1× 131 1.5× 12 0.2× 77 1.2× 50 823
Gaurav Kumar India 11 320 1.4× 146 1.4× 51 0.6× 14 0.2× 37 0.6× 40 951
Huihua Yang China 19 482 2.1× 330 3.1× 239 2.7× 22 0.3× 102 1.6× 88 1.1k

Countries citing papers authored by Thi-Thao Tran

Since Specialization
Citations

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

Fields of papers citing papers by Thi-Thao Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thi-Thao Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Thi-Thao Tran. A scholar is included among the top collaborators of Thi-Thao 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 Thi-Thao Tran. Thi-Thao 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.
Tran, Thi-Thao, et al.. (2025). LiteNeXt: A novel lightweight ConvMixer-based model with Self-embedding Representation Parallel for medical image segmentation. Biomedical Signal Processing and Control. 107. 107773–107773. 3 indexed citations
2.
Nguyen, Van Quang, et al.. (2025). Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis. Applied Intelligence. 55(7). 3 indexed citations
3.
Tran, Thi-Thao, et al.. (2025). GLAC-Unet: Global-Local Active Contour Loss with an Efficient U-Shaped Architecture for Multiclass Medical Image Segmentation. Journal of Imaging Informatics in Medicine. 38(5). 3198–3220. 3 indexed citations
4.
5.
Pham, Van-Truong, et al.. (2024). CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation. Journal of Imaging Informatics in Medicine. 38(1). 94–123. 4 indexed citations
6.
7.
Tran, Thi-Thao, et al.. (2024). Multilevel Few-Shot Model With Selective Aggregation Feature for Bearing Fault Diagnosis Under Limited Data Condition. IEEE Sensors Letters. 9(1). 1–4. 2 indexed citations
8.
Tran, Thi-Thao, et al.. (2024). SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention for bearing fault diagnosis. Computers & Electrical Engineering. 123. 110004–110004. 5 indexed citations
9.
Tran, Thi-Thao, et al.. (2023). Attention ConvMixer Model and Application for Fish Species Classification. SHILAP Revista de lepidopterología. 10(3). e2–e2. 10 indexed citations
10.
Pham, Van-Truong, et al.. (2023). A Fully Convolutional Network with Waterfall Atrous Spatial Pooling and Localized Active Contour Loss for Fish Segmentation. SHILAP Revista de lepidopterología. 10(1). e4–e4. 2 indexed citations
11.
Tham, Pham Thi, Thi-Thao Tran, Bùi Hữu Tài, et al.. (2023). Chemical constituents of the leaves of Fissistigma balansae. Vietnam Journal of Chemistry. 61(3). 366–370. 2 indexed citations
12.
13.
Pham, Van-Truong, et al.. (2023). An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation. Biomedical Signal Processing and Control. 83. 104631–104631. 18 indexed citations
14.
Tran, Thi-Thao. (2022). The impact of capital structure on firm value of Vietnamese listed companies - a quantile regression approach. SHILAP Revista de lepidopterología.
15.
Cường, Nguyễn Xuân, et al.. (2021). Sesquiterpenoids from the barks and roots of Michelia alba collected in Xuan Mai town, Hanoi City, Viet Nam. Vietnam Journal of Chemistry. 59(1). 120–126. 3 indexed citations
16.
Lin, Chen, Thi-Thao Tran, Van-Truong Pham, et al.. (2020). Probing age-related changes in cardio-respiratory dynamics by multimodal coupling assessment. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(3). 33118–33118. 7 indexed citations
17.
Pham, Van-Truong, Chen Lin, Thi-Thao Tran, et al.. (2020). Predicting ventricular tachyarrhythmia in patients with systolic heart failure based on texture features of the gray zone from contrast-enhanced magnetic resonance imaging. Journal of Cardiology. 76(6). 601–609. 7 indexed citations
18.
Lin, Lian‐Yu, Mao‐Yuan Su, Van-Truong Pham, et al.. (2016). Endocardial Remodeling in Heart Failure Patients with Impaired and Preserved Left Ventricular Systolic Function-A Magnetic Resonance Image Study. Scientific Reports. 6(1). 20868–20868. 6 indexed citations
19.
Pham, Van-Truong, Thi-Thao Tran, Kuo‐Kai Shyu, et al.. (2016). Shape collaborative representation with fuzzy energy based active contour model. Engineering Applications of Artificial Intelligence. 56. 60–74. 5 indexed citations
20.
Huon, Leh‐Kiong, Van-Truong Pham, Yunn‐Jy Chen, et al.. (2014). Synchronized imaging and acoustic analysis of the upper airway in patients with sleep-disordered breathing. Physiological Measurement. 35(12). 2501–2512. 3 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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