Minh-Khoi Tran

1.1k total citations · 1 hit paper
6 papers, 645 citations indexed

About

Minh-Khoi Tran is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Minh-Khoi Tran has authored 6 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Aerospace Engineering. Recurrent topics in Minh-Khoi Tran's work include Advanced Neural Network Applications (3 papers), 3D Shape Modeling and Analysis (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Minh-Khoi Tran is often cited by papers focused on Advanced Neural Network Applications (3 papers), 3D Shape Modeling and Analysis (3 papers) and 3D Surveying and Cultural Heritage (2 papers). Minh-Khoi Tran collaborates with scholars based in Singapore, Australia and United States. Minh-Khoi Tran's co-authors include Sai-Kit Yeung, Binh‐Son Hua, Duc Thanh Nguyen, Quang-Hieu Pham, Lap-Fai Yu and Stephen Pistorius and has published in prestigious journals such as Medical Physics, International Journal of Machine Learning and Computing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Minh-Khoi Tran

6 papers receiving 623 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pointwise Convolutional Neural Networks

2018 384 citations Binh‐Son Hua, Minh-Khoi Tran et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minh-Khoi Tran Singapore	4	370	316	289	176	155	6	645
Wentao Yuan United States	6	451 1.2×	305 1.0×	419 1.4×	141 0.8×	127 0.8×	9	794
Chaoda Zheng China	7	405 1.1×	329 1.0×	319 1.1×	223 1.3×	67 0.4×	12	656
Shenman Zhang China	5	352 1.0×	335 1.1×	194 0.7×	271 1.5×	71 0.5×	8	571
Xianzhi Li China	11	589 1.6×	298 0.9×	394 1.4×	183 1.0×	73 0.5×	21	841
Ji Hou China	4	310 0.8×	250 0.8×	279 1.0×	147 0.8×	145 0.9×	10	495
Qiangeng Xu United States	7	328 0.9×	187 0.6×	537 1.9×	141 0.8×	168 1.1×	7	771
Mutian Xu China	7	332 0.9×	252 0.8×	190 0.7×	160 0.9×	37 0.2×	10	516
Patrick Labatut France	8	204 0.6×	314 1.0×	581 2.0×	186 1.1×	255 1.6×	11	817
Truc Le United States	8	284 0.8×	226 0.7×	186 0.6×	162 0.9×	39 0.3×	12	467
Ryan Razani Canada	9	243 0.7×	159 0.5×	278 1.0×	199 1.1×	137 0.9×	10	481

Countries citing papers authored by Minh-Khoi Tran

Since Specialization

Citations

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

Fields of papers citing papers by Minh-Khoi Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minh-Khoi Tran

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Tran, Minh-Khoi, et al.. (2020). Robust Vehicle Detection Under Adverse Weather Conditions Using Auto-encoder Feature. International Journal of Machine Learning and Computing. 10(4). 549–555. 7 indexed citations

2.

Hua, Binh‐Son, Minh-Khoi Tran, & Sai-Kit Yeung. (2018). Pointwise Convolutional Neural Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 984–993. 384 indexed citations breakdown →

3.

Hua, Binh‐Son, Quang-Hieu Pham, Duc Thanh Nguyen, et al.. (2016). SceneNN: A Scene Meshes Dataset with aNNotations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 92–101. 186 indexed citations

4.

Nguyen, Duc Thanh, Binh‐Son Hua, Minh-Khoi Tran, Quang-Hieu Pham, & Sai-Kit Yeung. (2016). A Field Model for Repairing 3D Shapes. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5676–5684. 65 indexed citations

5.

Nguyen, Duc Thanh, Minh-Khoi Tran, & Sai-Kit Yeung. (2015). An MRF-Poselets Model for Detecting Highly Articulated Humans. 10. 1967–1975. 2 indexed citations

6.

Tran, Minh-Khoi, et al.. (2007). SU‐FF‐J‐23: Artificial Neural Networks Approach For Clinical Portal Dose Image Comparison. Medical Physics. 34(6Part5). 2373–2373. 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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