Dai-Duong Tran

56 total papers · 1.4k total citations
40 papers, 1.0k citations indexed

About

Dai-Duong Tran is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Dai-Duong Tran has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 25 papers in Automotive Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Dai-Duong Tran's work include Advanced DC-DC Converters (23 papers), Advanced Battery Technologies Research (20 papers) and Multilevel Inverters and Converters (15 papers). Dai-Duong Tran is often cited by papers focused on Advanced DC-DC Converters (23 papers), Advanced Battery Technologies Research (20 papers) and Multilevel Inverters and Converters (15 papers). Dai-Duong Tran collaborates with scholars based in Belgium, South Korea and United Kingdom. Dai-Duong Tran's co-authors include Omar Hegazy, Mohamed El Baghdadi, Sajib Chakraborty, Joeri Van Mierlo, Ricardo Barrero, Majid Vafaeipour, Mohammed Mahedi Hasan, Woojin Choi, Thomas Geury and S. Wilkins and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Dai-Duong Tran

40 papers receiving 1.0k citations

Hit Papers

Thorough state-of-the-art... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dai-Duong Tran 902 765 121 60 27 40 1.0k
Bernard Bäker 831 0.9× 982 1.3× 175 1.4× 70 1.2× 17 0.6× 58 1.1k
Xinyou Lin 728 0.8× 761 1.0× 161 1.3× 50 0.8× 24 0.9× 51 990
Fiorentino Valerio Conte 733 0.8× 776 1.0× 124 1.0× 52 0.9× 22 0.8× 28 877
Yue Wu 635 0.7× 700 0.9× 190 1.6× 137 2.3× 13 0.5× 80 1.0k
Ludmila C. A. Silva 586 0.6× 836 1.1× 161 1.3× 138 2.3× 22 0.8× 54 1.0k
Anton Kersten 707 0.8× 499 0.7× 161 1.3× 45 0.8× 41 1.5× 45 819
Huan Li 638 0.7× 620 0.8× 48 0.4× 27 0.5× 76 2.8× 37 928
Chaofeng Pan 655 0.7× 780 1.0× 204 1.7× 50 0.8× 24 0.9× 45 876
Florian Ringbeck 1.0k 1.1× 1.1k 1.4× 198 1.6× 40 0.7× 13 0.5× 22 1.2k
Abdoul N’Diaye 719 0.8× 583 0.8× 156 1.3× 53 0.9× 61 2.3× 33 870

Countries citing papers authored by Dai-Duong Tran

Since Specialization
Citations

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

Fields of papers citing papers by Dai-Duong Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai-Duong Tran

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

All Works

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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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