Chengwei Dong

405 citations
39 papers · 302 · h-index 11

Impact in

Papers in

Chengwei Dong

34 papers receiving 291 citations

Peers

Chengwei Dong
Comparison fields: 5 of 46
  • Statistical and Nonlinear Physics 243
  • Mathematical Physics 48
  • Computer Networks and Communications 111
  • Modeling and Simulation 10
  • Computer Vision and Pattern Recognition 43
Replace Banlue Srisuchinwong with:
Banlue Srisuchinwong Thailand
Juan Gonzalo Barajas-Ramírez Mexico
Angela Slavova Bulgaria
Jan Řeháček United States
Santo Banerjee Malaysia
Binoy Krishna Goswami India
Xiaofeng Gong China
Meei-Ling Hung Taiwan
B. Z. Essimbi Cameroon
Chengwei Dong relative to Banlue Srisuchinwong Thailand Banlue Srisuchinwong's profile →
Citations per field
00.5×4.2×
Banlue Srisuchinwong · 1×
Citations per year

Countries citing papers authored by Chengwei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Chengwei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202228
2 201321
3 202220
4 202219
5 202317
6 202416
7 202116
8 202215
9 201414
10 202013
11 202411
12 202410
13 202310
14 202410
15 201810
16 20189
17 20189
18 20219
19 20168
20 20186

About Chengwei Dong

Chengwei Dong is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Mathematical Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 39 papers that have together received 302 indexed citations. Recurring topics across this work include Chaos control and synchronization (23 papers), Quantum chaos and dynamical systems (18 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Mathematical Dynamics and Fractals (7 papers), stochastic dynamics and bifurcation (5 papers), Nuclear physics research studies (4 papers), Advanced Memory and Neural Computing (4 papers) and Magnetism in coordination complexes (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (243 citations), Mathematical Physics (48 citations), Computer Networks and Communications (111 citations), Modeling and Simulation (10 citations) and Computer Vision and Pattern Recognition (43 citations). Chengwei Dong has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Min Yang, Yueheng Lan, Huihui Liu, Huihui Liu, Sen Yang, Peijie Wang, Kangkang Yao, Yin Zhang, T. Uzer and Xiaoping Rui. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physical review. C, Europhysics Letters (EPL), The Journal of Physical Chemistry C 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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