Lingfa Yang

1.5k citations
27 papers · 1.3k indexed · h-index 19

Impact in

Papers in

Lingfa Yang

27 papers receiving 1.2k citations

Peers

Lingfa Yang
Comparison fields: 5 of 75
  • Statistical and Nonlinear Physics 564
  • Computer Networks and Communications 994
  • Condensed Matter Physics 130
  • Public Health, Environmental and Occupational Health 203
  • Modeling and Simulation 30
Replace Alberto P. Muñuzuri with:
Alberto P. Muñuzuri Spain
Harald Engel Germany
Valery Petrov United States
А. Н. Заикин Russia
E. Dulos France
A. Provata Greece
Junzhong Yang China
Javier Buceta Spain
John Burke United States
Cyrill B. Muratov United States
Lingfa Yang relative to Alberto P. Muñuzuri Spain Alberto P. Muñuzuri's profile →
Citations per field
00.5×1.5×
Alberto P. Muñuzuri · 1×
Citations per year

Countries citing papers authored by Lingfa Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lingfa Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Lingfa Yang, 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 Lingfa Yang Line = papers co-authored together Lingfa Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200814
2 200717
3 200720
4 200615
5 200639
6 200523
7 200431
8 200421
9 200483
10 2003117
11 200364
12 2002109
13 200210
14 2002103
15 2000250
16 199931
17 19984
18 199862
19 19989
20 19975

About Lingfa Yang

Lingfa Yang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Condensed Matter Physics, Computer Graphics and Computer-Aided Design and Physical and Theoretical Chemistry, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (21 papers), stochastic dynamics and bifurcation (8 papers), Theoretical and Computational Physics (6 papers), Nonlinear Photonic Systems (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Ecosystem dynamics and resilience (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Slime Mold and Myxomycetes Research (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (564 citations), Computer Networks and Communications (994 citations), Condensed Matter Physics (130 citations), Public Health, Environmental and Occupational Health (203 citations) and Modeling and Simulation (30 citations). Lingfa Yang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Irving R. Epstein, Anatol M. Zhabotinsky, Miloš Dolnik, Houwen Xin, Vladimir K. Vanag, Zhonghuai Hou, Igal Berenstein, Xiaobing Zuo, Chris R. Johnson and Robert M. Kirby. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics, Surface Science, The Journal of Physical Chemistry A and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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