Hang Dai

37 total papers · 892 total citations
33 papers, 703 citations indexed

About

Hang Dai is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Hang Dai has authored 33 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 4 papers in Mechanical Engineering and 2 papers in Civil and Structural Engineering. Recurrent topics in Hang Dai's work include Silicon Carbide Semiconductor Technologies (25 papers), Multilevel Inverters and Converters (15 papers) and Advanced DC-DC Converters (14 papers). Hang Dai is often cited by papers focused on Silicon Carbide Semiconductor Technologies (25 papers), Multilevel Inverters and Converters (15 papers) and Advanced DC-DC Converters (14 papers). Hang Dai collaborates with scholars based in United States, China and Hong Kong. Hang Dai's co-authors include Thomas M. Jahns, Renato Amorim Torres, Bulent Sarlioglu, Woongkul Lee, Dongdong Zhang, Tianhao Liu, Thomas Wu, Di Han, Tanveer Ahmad and Hui Hwang Goh and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and IEEE Transactions on Industrial Electronics.

In The Last Decade

Hang Dai

32 papers receiving 678 citations

Author Peers

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

Author						Papers	Cites
Hang Dai	627	113	71	57	44	33	703
Abdulrahman Alassi	514 0.8×	257 2.3×	40 0.6×	92 1.6×	52 1.2×	27	700
Shiyu Liu	636 1.0×	257 2.3×	39 0.5×	75 1.3×	28 0.6×	43	796
Hongye Wang	577 0.9×	141 1.2×	92 1.3×	138 2.4×	66 1.5×	39	842
Yanjian Peng	569 0.9×	338 3.0×	41 0.6×	102 1.8×	42 1.0×	39	672
Salman Amin	434 0.7×	173 1.5×	44 0.6×	39 0.7×	51 1.2×	40	677
Nikola Rajaković	743 1.2×	222 2.0×	72 1.0×	122 2.1×	91 2.1×	67	869
Bora Alboyacı	388 0.6×	212 1.9×	87 1.2×	111 1.9×	39 0.9×	45	651
Pankaj K. Sen	673 1.1×	369 3.3×	43 0.6×	55 1.0×	72 1.6×	34	860
Xiaohai Wang	537 0.9×	181 1.6×	95 1.3×	180 3.2×	50 1.1×	45	696
Tianrui Zhou	534 0.9×	102 0.9×	21 0.3×	73 1.3×	47 1.1×	29	646

Countries citing papers authored by Hang Dai

Since Specialization

Citations

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

Fields of papers citing papers by Hang Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Dai. A scholar is included among the top collaborators of Hang Dai 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 Hang Dai. Hang Dai 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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