He-Ping Ying

960 citations
52 papers · 819 · h-index 16

Impact in

Papers in

He-Ping Ying

48 papers receiving 752 citations

Peers

He-Ping Ying
Comparison fields: 5 of 54
  • Statistical and Nonlinear Physics 581
  • Computer Networks and Communications 577
  • Cognitive Neuroscience 394
  • Condensed Matter Physics 95
  • Cellular and Molecular Neuroscience 85
Replace Diego Pazó with:
Diego Pazó Spain
William Baxter United States
Dan Tanaka Japan
Tiago Pereira Brazil
Igor Mitkov United States
Remy Salomonsz United States
D. V. Senthilkumar India
Jacques-Alexandre Sepulchre France
V. A. Davydov Russia
Eugene Mihaliuk United States
He-Ping Ying relative to Diego Pazó Spain Diego Pazó's profile →
Citations per field
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Diego Pazó · 1×
Citations per year

Countries citing papers authored by He-Ping Ying

Since Specialization
Citations

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

Fields of papers citing papers by He-Ping Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He-Ping Ying. 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 He-Ping Ying. The network helps show where He-Ping Ying may publish in the future.

Co-authors

The 25 scholars most cited alongside He-Ping Ying, 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 He-Ping Ying Line = papers co-authored together He-Ping Ying links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017137
2 2005118
3 201259
4 201154
5 200030
6 201629
7 201229
8 201227
9 200426
10 200626
11 201425
12 201320
13 201419
14 201319
15 200817
16 200917
17 200815
18 201315
19 200712
20 199311

About He-Ping Ying

He-Ping Ying is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 52 papers that have together received 819 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (32 papers), Neural dynamics and brain function (13 papers), Theoretical and Computational Physics (12 papers), stochastic dynamics and bifurcation (12 papers), Physics of Superconductivity and Magnetism (10 papers), Quantum many-body systems (8 papers), Quantum chaos and dynamical systems (7 papers) and Nonlinear Photonic Systems (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (581 citations), Computer Networks and Communications (577 citations), Cognitive Neuroscience (394 citations), Condensed Matter Physics (95 citations) and Cellular and Molecular Neuroscience (85 citations). He-Ping Ying has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jun Ma, Hong Zhang, Guang Hu, Ya Jia, Zhoujian Cao, Tasawar Hayat, Ying Xu, Jiang‐Xing Chen, Ying Wu and Long Huang. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Physics Letters A, Chinese Physics Letters, Physical review. B, Condensed matter and Nonlinear Dynamics.

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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