Jun Geng

493 citations
24 papers · 297 · h-index 9

Impact in

Papers in

Jun Geng

20 papers receiving 284 citations

Peers

Jun Geng
Comparison fields: 5 of 47
  • Applied Mathematics 116
  • Computational Theory and Mathematics 151
  • Mathematical Physics 36
  • Computational Mechanics 77
  • Condensed Matter Physics 37
Replace Sang Youl Lee with:
Sang Youl Lee South Korea
Andrew J. Duncan United Kingdom
Tsuyoshi Kobayashi Japan
O. Olendski Belarus
B.J. Mulvaney United States
Karolis Misiunas United Kingdom
Takeshi Harasawa Japan
E. Sangiorgi Italy
K. Nagel Canada
Juan Atalaya United States
Jun Geng relative to Sang Youl Lee South Korea Sang Youl Lee's profile →
Citations per field
00.5×10×20×30×38.7×
Sang Youl Lee · 1×
Citations per year

Countries citing papers authored by Jun Geng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Jun Geng, 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 Jun Geng Line = papers co-authored together Jun Geng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201344
2 201242
3 201336
4 201035
5 200929
6 201526
7 201621
8 201120
9 201510
10 20177
11 20155
12 20175
13 20124
14 20203
15 20143
16 20202
17
Elliptic Boundary Value Problems On Non-Smooth Domains
20111
18 20131
19 20171
20 20201

About Jun Geng

Jun Geng is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Mechanics of Materials, Computational Mechanics and Mathematical Physics, having authored 24 papers that have together received 297 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (17 papers), Nonlinear Partial Differential Equations (9 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Composite Material Mechanics (8 papers), Numerical methods in inverse problems (4 papers), Surfactants and Colloidal Systems (3 papers), Advanced Harmonic Analysis Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Applied Mathematics (116 citations), Computational Theory and Mathematics (151 citations), Mathematical Physics (36 citations), Computational Mechanics (77 citations) and Condensed Matter Physics (37 citations). Jun Geng has collaborated with scholars based in China and United States. Frequent co-authors include Zhongwei Shen, Jonathan V. Selinger, Robin L. B. Selinger, Thanh‐Son Nguyen, Matthew Fraser, Linda S. Hirst, Jixiang Chen and Liang Song. Their work appears in journals such as Journal of Functional Analysis, Journal of Differential Equations, Mathematische Annalen, Intermetallics and Biophysical Journal.

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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