Tran Van Dinh
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- Evolutionary Psychology and Human Behavior 11
- Computer Science Applications top 10%
- Artificial Intelligence top 10%
- Cryptography and Data Security 4
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- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 3
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
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- Evolutionary Game Theory and Cooperation 3
- Vietnamese History and Culture Studies 3
- Co-authors
- Steven W. GangestadAlessandro SperdutiNgo Tung SonNicolò NavarinDallas W. SmytheMuhammad Umar AftabBùi Ngọc AnhRolf Backofen
- Journals
- Nucleic Acids Research (1 paper)Journal of Personality and Social Psychology (1 paper)Bioinformatics (2 papers)
- Partner nations
- GermanyUnited StatesVietnam
In The Last Decade
Tran Van Dinh
44 papers receiving 458 citations
Peers
Comparison fields: 5 of 105
- Experimental and Cognitive Psychology 83
- Computer Science Applications 23
- Communication 26
- Artificial Intelligence 111
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Tran Van Dinh
This map shows the geographic impact of Tran Van Dinh'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 Tran Van Dinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tran Van Dinh more than expected).
Fields of papers citing papers by Tran Van Dinh
This network shows the impact of papers produced by Tran Van Dinh. 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 Tran Van Dinh. The network helps show where Tran Van Dinh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tran Van Dinh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 1 | |
| 15 | On the definition of complex structured feature spaces. | 2019 | 0 |
| 16 | 2019 | 11 | |
| 17 | 2018 | 4 | |
| 18 | 2018 | 14 | |
| 19 | The Conjunctive Disjunctive Node Kernel | 2017 | 0 |
| 20 | An Algorithm for Generating All The Directed Paths and Its Application | 1976 | 3 |
About Tran Van Dinh
Tran Van Dinh is a scholar working on Experimental and Cognitive Psychology, History and Philosophy of Science and Artificial Intelligence, having authored 49 papers that have together received 486 indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (11 papers), RNA and protein synthesis mechanisms (4 papers), Cryptography and Data Security (4 papers), Machine Learning in Bioinformatics (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Gene expression and cancer classification (3 papers), Vietnamese History and Culture Studies (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (83 citations), Computer Science Applications (23 citations) and Communication (26 citations). Tran Van Dinh has collaborated with scholars based in Germany, United States and Vietnam. Frequent co-authors include Steven W. Gangestad, Alessandro Sperduti, Ngo Tung Son, Nicolò Navarin, Dallas W. Smythe, Muhammad Umar Aftab, Bùi Ngọc Anh, Rolf Backofen, Martie G. Haselton and Melissa Emery Thompson. Their work appears in journals such as Nucleic Acids Research, Journal of Personality and Social Psychology and Bioinformatics.
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.