Canjun Wang

895 citations
71 papers · 762 · h-index 16

Impact in

Papers in

Canjun Wang

68 papers receiving 709 citations

Peers

Canjun Wang
Comparison fields: 5 of 69
  • Statistical and Nonlinear Physics 576
  • Computer Networks and Communications 246
  • Cognitive Neuroscience 164
  • Modeling and Simulation 33
  • Statistics, Probability and Uncertainty 51
Replace N. V. Agudov with:
N. V. Agudov Russia
Luchun Du China
Mark M. Millonas United States
Roberto R. Deza Argentina
Bidhan Chandra Bag India
Steve Guillouzic Canada
Mangal C. Mahato India
Barbara Gentz Germany
J. M. Casado Spain
Canjun Wang relative to N. V. Agudov Russia N. V. Agudov's profile →
Citations per field
00.5×1.5×
N. V. Agudov · 1×
Citations per year

Countries citing papers authored by Canjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Canjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Canjun Wang, 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 Canjun Wang Line = papers co-authored together Canjun Wang 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 201267
2 201739
3 201836
4 200734
5 201833
6 201229
7 201427
8 201625
9 200725
10 201022
11 201720
12 200718
13 201517
14 201916
15 200815
16 202315
17 201615
18 201715
19
Vibrational Resonance in Bistable Gene Transcriptional Regulatory System
201214
20 202114

About Canjun Wang

Canjun Wang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Global and Planetary Change and Cognitive Neuroscience, having authored 71 papers that have together received 762 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (52 papers), Nonlinear Dynamics and Pattern Formation (21 papers), Gene Regulatory Network Analysis (14 papers), Ecosystem dynamics and resilience (13 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Neural dynamics and brain function (9 papers), Diffusion and Search Dynamics (9 papers) and Chaos control and synchronization (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (576 citations), Computer Networks and Communications (246 citations), Cognitive Neuroscience (164 citations), Modeling and Simulation (33 citations) and Statistics, Probability and Uncertainty (51 citations). Canjun Wang has collaborated with scholars based in China, Russia and Bangladesh. Frequent co-authors include Keli Yang, Ming Yi, Dong-Cheng Mei, Lijian Yang, Qun Wei, Yuangen Yao, Rong Gui, Xuan Zhan, Ya Jia and Ya Wang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, Nonlinear Dynamics, Materials and Physics Letters A.

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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