Yanpei Dai

41 total papers · 788 total citations
25 papers, 654 citations indexed

About

Yanpei Dai is a scholar working on Geophysics, Geochemistry and Petrology and Artificial Intelligence. According to data from OpenAlex, Yanpei Dai has authored 25 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Geophysics, 12 papers in Geochemistry and Petrology and 9 papers in Artificial Intelligence. Recurrent topics in Yanpei Dai's work include Geological and Geochemical Analysis (25 papers), earthquake and tectonic studies (13 papers) and Geochemistry and Elemental Analysis (12 papers). Yanpei Dai is often cited by papers focused on Geological and Geochemical Analysis (25 papers), earthquake and tectonic studies (13 papers) and Geochemistry and Elemental Analysis (12 papers). Yanpei Dai collaborates with scholars based in China, United States and Australia. Yanpei Dai's co-authors include Lianchang Zhang, Changle Wang, Mingtian Zhu, Peng Xiang, Li Liu, Xiaojing Zhang, Mingguo Zhai, Franco Pirajno, Chunlin Li and Xinqi Yu and has published in prestigious journals such as Precambrian Research, Lithos and Economic Geology.

In The Last Decade

Yanpei Dai

23 papers receiving 632 citations

Author Peers

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

Author Last Decade Papers Cites
Yanpei Dai 625 277 260 76 27 25 654
Niels Hulsbosch 706 1.1× 186 0.7× 462 1.8× 40 0.5× 23 0.9× 30 788
Mingtian Zhu 699 1.1× 156 0.6× 465 1.8× 44 0.6× 14 0.5× 39 736
Nikola Koglin 625 1.0× 202 0.7× 436 1.7× 88 1.2× 9 0.3× 30 692
Moacyr Moura Marinho 642 1.0× 139 0.5× 497 1.9× 47 0.6× 14 0.5× 52 678
Zaifei Yan 529 0.8× 250 0.9× 411 1.6× 71 0.9× 5 0.2× 23 609
Xue-Ming Yang 684 1.1× 164 0.6× 425 1.6× 33 0.4× 6 0.2× 34 750
Huichu Wang 709 1.1× 122 0.4× 282 1.1× 82 1.1× 12 0.4× 24 757
Luke Ootes 564 0.9× 181 0.7× 371 1.4× 87 1.1× 23 0.9× 36 633
Xudong Ma 588 0.9× 134 0.5× 254 1.0× 34 0.4× 12 0.4× 32 626
Hui Huang 562 0.9× 104 0.4× 245 0.9× 38 0.5× 14 0.5× 34 661

Countries citing papers authored by Yanpei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yanpei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanpei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yanpei Dai. A scholar is included among the top collaborators of Yanpei 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 Yanpei Dai. Yanpei 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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2026