Penghui Mi

16 total papers · 499 total citations
6 papers, 410 citations indexed

About

Penghui Mi is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Penghui Mi has authored 6 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 1 paper in Surfaces, Coatings and Films. Recurrent topics in Penghui Mi's work include Advanced Battery Materials and Technologies (5 papers), Advancements in Battery Materials (4 papers) and Machine Learning in Materials Science (4 papers). Penghui Mi is often cited by papers focused on Advanced Battery Materials and Technologies (5 papers), Advancements in Battery Materials (4 papers) and Machine Learning in Materials Science (4 papers). Penghui Mi collaborates with scholars based in China, Australia and Singapore. Penghui Mi's co-authors include Siqi Shi, Bing He, Zheyi Zou, Maxim Avdeev, Anjiang Ye, Shuting Chi, Yunbing Ran, Bowei Pu, Stefan Adams and Jing‐Tai Zhao and has published in prestigious journals such as Advanced Functional Materials, Acta Materialia and Scientific Data.

In The Last Decade

Penghui Mi

6 papers receiving 383 citations

Author Peers

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

Author						Papers	Cites
Penghui Mi	343	248	67	55	22	6	410
Yunbing Ran	337 1.0×	229 0.9×	62 0.9×	44 0.8×	20 0.9×	5	396
Shuting Chi	311 0.9×	230 0.9×	65 1.0×	55 1.0×	17 0.8×	5	372
Ana Martı́nez-Juárez	315 0.9×	180 0.7×	47 0.7×	34 0.6×	34 1.5×	9	368
Marc Duchardt	437 1.3×	251 1.0×	89 1.3×	56 1.0×	59 2.7×	9	490
Thimo Ferber	446 1.3×	176 0.7×	127 1.9×	41 0.7×	13 0.6×	13	486
Shi-Gang Ling	405 1.2×	119 0.5×	136 2.0×	34 0.6×	35 1.6×	11	438
Ruoyu Dai	220 0.6×	314 1.3×	42 0.6×	46 0.8×	35 1.6×	13	466
Daniel Langsdorf	376 1.1×	203 0.8×	70 1.0×	27 0.5×	45 2.0×	10	470
Xiangfu Niu	317 0.9×	176 0.7×	91 1.4×	10 0.2×	17 0.8×	11	458
Jiaojiao Xue	343 1.0×	178 0.7×	63 0.9×	35 0.6×	44 2.0×	12	407

Countries citing papers authored by Penghui Mi

Since Specialization

Citations

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

Fields of papers citing papers by Penghui Mi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghui Mi

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