Mingyu Han

28 total papers · 797 total citations
21 papers, 649 citations indexed

About

Mingyu Han is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Mingyu Han has authored 21 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 6 papers in Electronic, Optical and Magnetic Materials and 6 papers in Biomedical Engineering. Recurrent topics in Mingyu Han's work include Advanced Battery Materials and Technologies (5 papers), Conducting polymers and applications (5 papers) and Supercapacitor Materials and Fabrication (4 papers). Mingyu Han is often cited by papers focused on Advanced Battery Materials and Technologies (5 papers), Conducting polymers and applications (5 papers) and Supercapacitor Materials and Fabrication (4 papers). Mingyu Han collaborates with scholars based in Australia, China and United States. Mingyu Han's co-authors include George W. Greene, Saimon Moraes Silva, Simon E. Moulton, Anita Quigley, Robert M. I. Kapsa, Xianyou Wang, Matthew J. Russo, Rosanne M. Guijt, Yufang Chen and Manfang Chen and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Journal of Power Sources.

In The Last Decade

Mingyu Han

20 papers receiving 639 citations

Hit Papers

MoC‐MoSe2 Heterostructure... 2024 2026 2024 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Mingyu Han 389 162 161 134 119 21 649
In‐Jun Park 345 0.9× 227 1.4× 116 0.7× 71 0.5× 86 0.7× 21 613
Yihua Zhao 215 0.6× 109 0.7× 355 2.2× 79 0.6× 128 1.1× 26 685
Petri Pulkkinen 352 0.9× 268 1.7× 357 2.2× 143 1.1× 163 1.4× 17 778
Vinayaraj Ozhukil Kollath 311 0.8× 161 1.0× 333 2.1× 77 0.6× 59 0.5× 24 667
Anurag Kumar 345 0.9× 400 2.5× 212 1.3× 87 0.6× 131 1.1× 30 712
Jérôme Roche 279 0.7× 249 1.5× 204 1.3× 76 0.6× 62 0.5× 25 685
Xinne Zhao 306 0.8× 246 1.5× 284 1.8× 165 1.2× 106 0.9× 11 695
Oleksandr Trotsenko 164 0.4× 113 0.7× 212 1.3× 136 1.0× 37 0.3× 25 591
Weigui Fu 270 0.7× 133 0.8× 208 1.3× 49 0.4× 111 0.9× 23 728
Alexander W. Thomas 343 0.9× 201 1.2× 87 0.5× 151 1.1× 108 0.9× 22 671

Countries citing papers authored by Mingyu Han

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Han

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