Peng Dai

37 total papers · 1.3k total citations
31 papers, 1.1k citations indexed

About

Peng Dai is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Peng Dai has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 20 papers in Automotive Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Peng Dai's work include Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (25 papers) and Advanced Battery Technologies Research (20 papers). Peng Dai is often cited by papers focused on Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (25 papers) and Advanced Battery Technologies Research (20 papers). Peng Dai collaborates with scholars based in China, Canada and United States. Peng Dai's co-authors include Shi‐Gang Sun, Ling Huang, Chenguang Shi, Qiaoxin Zhang, Xing‐Jiu Huang, Jingjing Fan, Yanfen Wen, Lina Wu, Yuhao Hong and Ling Huang and has published in prestigious journals such as Nature Communications, Nano Letters and Advanced Functional Materials.

In The Last Decade

Peng Dai

31 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Peng Dai 989 429 149 128 103 31 1.1k
Christian Kuß 1.0k 1.0× 361 0.8× 217 1.5× 74 0.6× 206 2.0× 24 1.2k
Woo-Seong Kim 795 0.8× 243 0.6× 259 1.7× 41 0.3× 237 2.3× 37 1.0k
Raymond A. Wong 802 0.8× 186 0.4× 163 1.1× 116 0.9× 198 1.9× 20 969
Benan Hu 1.0k 1.0× 300 0.7× 444 3.0× 84 0.7× 154 1.5× 22 1.1k
Lukas Seidl 884 0.9× 300 0.7× 186 1.2× 88 0.7× 131 1.3× 22 983
Wenchao Duan 930 0.9× 198 0.5× 359 2.4× 44 0.3× 224 2.2× 18 1.1k
Lili Shi 730 0.7× 349 0.8× 69 0.5× 36 0.3× 116 1.1× 33 822
E. Simonetti 708 0.7× 234 0.5× 123 0.8× 40 0.3× 248 2.4× 35 922
M. Carewska 854 0.9× 315 0.7× 157 1.1× 39 0.3× 145 1.4× 27 1.1k
Karsten Pinkwart 905 0.9× 438 1.0× 226 1.5× 103 0.8× 147 1.4× 52 1.1k

Countries citing papers authored by Peng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Peng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Dai

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