Qiushi Dai

28 total papers · 1.3k total citations
19 papers, 666 citations indexed

About

Qiushi Dai is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Qiushi Dai has authored 19 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 9 papers in Automotive Engineering and 4 papers in Materials Chemistry. Recurrent topics in Qiushi Dai's work include Advancements in Battery Materials (15 papers), Advanced Battery Materials and Technologies (14 papers) and Advanced Battery Technologies Research (9 papers). Qiushi Dai is often cited by papers focused on Advancements in Battery Materials (15 papers), Advanced Battery Materials and Technologies (14 papers) and Advanced Battery Technologies Research (9 papers). Qiushi Dai collaborates with scholars based in China, United States and Germany. Qiushi Dai's co-authors include Jianyu Huang, Liqiang Zhang, Yongfu Tang, Zhigao Luo, Li Yang, Xianyou Wang, Jingzhao Chen, Kaili Luo, Lei Liu and Yanshuai Li and has published in prestigious journals such as Advanced Materials, Nano Letters and ACS Nano.

In The Last Decade

Qiushi Dai

18 papers receiving 653 citations

Author Peers

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

Author Last Decade Papers Cites
Qiushi Dai 607 307 150 51 41 19 666
Yue Zhang 482 0.8× 222 0.7× 114 0.8× 55 1.1× 48 1.2× 20 557
Qingyue Han 632 1.0× 291 0.9× 135 0.9× 44 0.9× 83 2.0× 23 671
Cheng Chen 719 1.2× 393 1.3× 156 1.0× 31 0.6× 44 1.1× 31 793
Sandra Lobe 660 1.1× 268 0.9× 267 1.8× 50 1.0× 34 0.8× 26 750
Derviş Emre Demirocak 448 0.7× 353 1.1× 130 0.9× 92 1.8× 54 1.3× 16 599
Wahid Zaman 553 0.9× 324 1.1× 139 0.9× 36 0.7× 36 0.9× 12 638
Wenzhuo Cao 704 1.2× 384 1.3× 94 0.6× 47 0.9× 66 1.6× 10 735
Xing Guo 695 1.1× 353 1.1× 143 1.0× 39 0.8× 66 1.6× 23 763
Shaoke Guo 678 1.1× 314 1.0× 138 0.9× 23 0.5× 64 1.6× 18 739
Quanhai Niu 516 0.9× 233 0.8× 117 0.8× 32 0.6× 75 1.8× 14 561

Countries citing papers authored by Qiushi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Qiushi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiushi Dai

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