Dawei Ding

852 citations
53 papers · 685 indexed · h-index 15

Impact in

Papers in

Dawei Ding

50 papers receiving 669 citations

Peers

Dawei Ding
Comparison fields: 5 of 50
  • Statistical and Nonlinear Physics 399
  • Modeling and Simulation 74
  • Computer Networks and Communications 343
  • Cognitive Neuroscience 101
  • Computer Vision and Pattern Recognition 92
Replace Yajuan Yu with:
Yajuan Yu China
Mayank Srivastava India
Jay Prakash Singh India
Tianming Liu China
Ashokkumar Srinivasan Ethiopia
Min Shi China
Jia Jia China
Ayub Khan India
Xiao‐Wen Zhao China
L. Pivka United States
Dawei Ding relative to Yajuan Yu China Yajuan Yu's profile →
Citations per field
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Yajuan Yu · 1×
Citations per year

Countries citing papers authored by Dawei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201780
2 202260
3 201653
4 201540
5 201836
6 202234
7 200729
8 202128
9 202222
10 201721
11 201920
12 201418
13 201117
14 202115
15 201314
16 202114
17 201813
18 202013
19 201611
20 202011

About Dawei Ding

Dawei Ding is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 53 papers that have together received 685 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (29 papers), Neural Networks Stability and Synchronization (29 papers), Advanced Memory and Neural Computing (21 papers), Chaos control and synchronization (14 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Chaos-based Image/Signal Encryption (9 papers), Neural dynamics and brain function (9 papers) and Network Traffic and Congestion Control (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (399 citations), Modeling and Simulation (74 citations), Computer Networks and Communications (343 citations), Cognitive Neuroscience (101 citations) and Computer Vision and Pattern Recognition (92 citations). Dawei Ding has collaborated with scholars based in China, Saudi Arabia and Singapore. Frequent co-authors include Nian Wang, Dong Liang, Dong Liang, Hongwei Zhang, Wei Hu, Jinde Cao, Luo Xiao-Shu, Jie Zhu, Wei Hu and Yaqin Zhang. Their work appears in journals such as Nonlinear Dynamics, Chaos Solitons & Fractals, Neurocomputing, Applied Physics A and Journal of Computational 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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