Binh Tran

1.6k citations
26 papers · 979 · h-index 11

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Machine Learning and Data Classification
    • Imbalanced Data Classification Techniques
    • Machine Learning and ELM
    • Advanced Multi-Objective Optimization Algorithms

Papers in

Binh Tran

22 papers receiving 957 citations

Peers

Binh Tran
Comparison fields: 5 of 105
  • Artificial Intelligence 691
  • Computational Theory and Mathematics 224
  • Computer Vision and Pattern Recognition 175
  • Industrial and Manufacturing Engineering 58
  • Health Information Management 14
Replace Prachi Agrawal with:
Prachi Agrawal India
Xianfang Song China
Mehreen Saeed Pakistan
Hassan Shaban Egypt
Seyed Jalaleddin Mousavirad Iran
Qing-Hua Ling China
Irfan Younas Pakistan
Manosij Ghosh India
Ender Sevinç Türkiye
Binh Tran relative to Prachi Agrawal India Prachi Agrawal's profile →
Citations per field
00.5×5.6×
Prachi Agrawal · 1×
Citations per year

Countries citing papers authored by Binh Tran

Since Specialization
Citations

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

Fields of papers citing papers by Binh Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Binh 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 Binh Tran Line = papers co-authored together Binh Tran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018242
2 2017169
3 2019155
4 2015128
5 201971
6 201645
7 201641
8 202335
9 201821
10 201620
11 201918
12 202410
13 20227
14 20243
15 20143
16 20213
17 20252
18 20241
19 20201
20 20231

About Binh Tran

Binh Tran is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Control and Systems Engineering and Automotive Engineering, having authored 26 papers that have together received 979 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (9 papers), Machine Learning and Data Classification (6 papers), Data Stream Mining Techniques (4 papers), Microgrid Control and Optimization (3 papers), Face and Expression Recognition (2 papers), Advanced Battery Technologies Research (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (691 citations), Computational Theory and Mathematics (224 citations), Computer Vision and Pattern Recognition (175 citations), Industrial and Manufacturing Engineering (58 citations) and Health Information Management (14 citations). Binh Tran has collaborated with scholars based in Australia, New Zealand and Vietnam. Frequent co-authors include Bing Xue, Mengjie Zhang, Jun Zhang, Qi Chen, Yi Mei, Ying Bi, Andrew Lensen, Harith Al-Sahaf, Yanan Sun and Su Nguyen. Their work appears in journals such as Complex & Intelligent Systems, Journal of Traffic and Transportation Engineering (English Edition), Energies, IEEE Transactions on Cybernetics and IEEE Access.

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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