Pigong Han

61 total papers · 858 total citations
52 papers, 613 citations indexed

About

Pigong Han is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Pigong Han has authored 52 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Applied Mathematics, 33 papers in Computational Theory and Mathematics and 24 papers in Mathematical Physics. Recurrent topics in Pigong Han's work include Advanced Mathematical Modeling in Engineering (33 papers), Nonlinear Partial Differential Equations (26 papers) and Navier-Stokes equation solutions (23 papers). Pigong Han is often cited by papers focused on Advanced Mathematical Modeling in Engineering (33 papers), Nonlinear Partial Differential Equations (26 papers) and Navier-Stokes equation solutions (23 papers). Pigong Han collaborates with scholars based in China, United States and Italy. Pigong Han's co-authors include Daomin Cao, Cheng He, Zhaoxia Liu, Zhaoxia Liu, María E. Schonbek, Chenggang Liu and Xuewen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Pigong Han

48 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Pigong Han 595 381 308 93 51 52 613
Michel Cristofol 249 0.4× 386 1.0× 329 1.1× 128 1.4× 53 1.0× 30 546
Senjo Shimizu 467 0.8× 231 0.6× 341 1.1× 129 1.4× 75 1.5× 52 569
Christian G. Simader 415 0.7× 340 0.9× 360 1.2× 100 1.1× 93 1.8× 35 649
Françoise Demengel 455 0.8× 431 1.1× 225 0.7× 66 0.7× 68 1.3× 37 634
Tom Ter Elst 414 0.7× 354 0.9× 421 1.4× 35 0.4× 32 0.6× 85 627
Peer Christian Kunstmann 482 0.8× 190 0.5× 401 1.3× 100 1.1× 27 0.5× 56 612
J. Toledo 525 0.9× 441 1.2× 242 0.8× 112 1.2× 43 0.8× 42 673
Daniele Cassani 568 1.0× 336 0.9× 388 1.3× 49 0.5× 14 0.3× 41 660
Giovanni Cupini 587 1.0× 481 1.3× 264 0.9× 50 0.5× 25 0.5× 45 639
Michael Bildhauer 478 0.8× 489 1.3× 149 0.5× 31 0.3× 89 1.7× 56 610

Countries citing papers authored by Pigong Han

Since Specialization
Citations

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

Fields of papers citing papers by Pigong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pigong Han

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