Minh-Khoi Tran

1.1k citations
6 papers · 645 indexed · 1 hit paper · h-index 4
Journals
Medical Physics (1 paper)International Journal of Machine Learning and Computing (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (3 papers)

In The Last Decade

Minh-Khoi Tran

6 papers receiving 623 citations

Hit Papers

Pointwise Convolutional Neural Networks3842018202620202023100200300

Peers

Minh-Khoi Tran
Comparison fields: 5 of 66
  • Geology 316
  • Computer Graphics and Computer-Aided Design 124
  • Computational Mechanics 370
  • Computer Vision and Pattern Recognition 289
  • Environmental Engineering 176
Replace Wentao Yuan with:
Wentao Yuan United States
Shenman Zhang China
Truc Le United States
Ji Hou China
Chaoda Zheng China
Minhyuk Sung South Korea
Qiangeng Xu United States
A. Cengiz Öztireli Switzerland
Alexander Berner Germany
Mutian Xu China
Minh-Khoi Tran relative to Wentao Yuan United States Wentao Yuan's profile →
Citations per field
00.5×3.3×
Wentao Yuan · 1×
Citations per year

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

The 6 scholars most cited alongside Minh-Khoi Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minh-Khoi Tran Line = papers co-authored together Minh-Khoi Tran links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20207
2
Pointwise Convolutional Neural Networksbreakdown →
2018384
3 2016186
4 201665
5 20152
6 20071

About Minh-Khoi Tran

Minh-Khoi Tran is a scholar working on Geology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 6 papers that have together received 645 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), 3D Shape Modeling and Analysis (3 papers), 3D Surveying and Cultural Heritage (2 papers), Robotics and Sensor-Based Localization (2 papers), Autonomous Vehicle Technology and Safety (1 paper), Medical Imaging Techniques and Applications (1 paper), Human Pose and Action Recognition (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Geology (316 citations), Computer Graphics and Computer-Aided Design (124 citations) and Computational Mechanics (370 citations). Minh-Khoi Tran has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Sai-Kit Yeung, Binh‐Son Hua, Duc Thanh Nguyen, Quang-Hieu Pham, Lap-Fai Yu and Stephen Pistorius. Their work appears in 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).

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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