Guo-Niu Han

65 papers receiving 488 citations

Peers

Guo-Niu Han
Comparison fields: 5 of 60
  • Discrete Mathematics and Combinatorics 323
  • Algebra and Number Theory 256
  • Geometry and Topology 105
  • Mathematical Physics 77
  • Computational Theory and Mathematics 79
Replace Tian-Xiao He with:
Tian-Xiao He United States
Marilena Barnabei Italy
Pentti Haukkanen Finland
M. Delest France
Martin Klazar Czechia
Matthias Beck United States
Catherine H. Yan United States
Gi‐Sang Cheon South Korea
Robert Cori France
Dean Hickerson United States
Guo-Niu Han relative to Tian-Xiao He United States Tian-Xiao He's profile →
Citations per field
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Tian-Xiao He · 1×
Citations per year

Countries citing papers authored by Guo-Niu Han

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Niu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guo-Niu Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guo-Niu Han Line = papers co-authored together Guo-Niu Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 200024
3 200622
4 200121
5 200917
6 199717
7
SIGNED WORDS AND PERMUTATIONS, II;
200516
8 200715
9 200915
10 200714
11 200513
12 200913
13 200812
14 199912
15 201612
16 200111
17 201010
18 201010
19 201410
20 200310

About Guo-Niu Han

Guo-Niu Han is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory, Artificial Intelligence, Computational Theory and Mathematics and Geometry and Topology, having authored 71 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (59 papers), Advanced Mathematical Identities (43 papers), Bayesian Methods and Mixture Models (13 papers), semigroups and automata theory (11 papers), Algebraic structures and combinatorial models (6 papers), Mathematical functions and polynomials (6 papers), Graph theory and applications (5 papers) and Analytic Number Theory Research (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (323 citations), Algebra and Number Theory (256 citations), Geometry and Topology (105 citations), Mathematical Physics (77 citations) and Computational Theory and Mathematics (79 citations). Guo-Niu Han has collaborated with scholars based in France, China and Switzerland. Frequent co-authors include Dominique Foata, Huazhong Shu, Jiang Zeng, Jiasong Wu, Zhuhong Shao, Xilin Liu, Gouenou Coatrieux, Cheng‐Cai Zhang, Limin Luo and R.J. Clarke. Their work appears in journals such as The Electronic Journal of Combinatorics, The Ramanujan Journal, European Journal of Combinatorics, Journal of Combinatorial Theory Series A and Annals of Combinatorics.

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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