Duqu Wei

797 citations
39 papers · 648 · h-index 12

Impact in

Papers in

Duqu Wei

33 papers receiving 625 citations

Peers

Duqu Wei
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 350
  • Statistical and Nonlinear Physics 207
  • Computer Networks and Communications 112
  • Energy Engineering and Power Technology 15
  • Media Technology 29
Replace Mohamed F. Abu‐Elyazeed with:
Mohamed F. Abu‐Elyazeed Egypt
Jean De Dieu Nkapkop Cameroon
Zhisen Wang China
Kais Bouallegue Tunisia
Zinan Zhang China
Qiuzhen Wan China
Mohammed F. Tolba Egypt
José-Cruz Nuñez-Pérez Mexico
Tengfei Lei China
Duqu Wei relative to Mohamed F. Abu‐Elyazeed Egypt Mohamed F. Abu‐Elyazeed's profile →
Citations per field
00.5×
Mohamed F. Abu‐Elyazeed · 1×
Citations per year

Countries citing papers authored by Duqu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Duqu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Duqu Wei, 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 Duqu Wei Line = papers co-authored together Duqu Wei 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 2019127
2 2019122
3 201873
4 201963
5 200941
6 202133
7 201722
8 201319
9 201018
10 201215
11 202015
12 201712
13 201911
14 201211
15 20139
16 20088
17 20115
18 20185
19 20165
20 20074

About Duqu Wei

Duqu Wei is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering, having authored 39 papers that have together received 648 indexed citations. Recurring topics across this work include Chaos control and synchronization (19 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Plasmonic and Surface Plasmon Research (8 papers), stochastic dynamics and bifurcation (7 papers), Neural Networks and Applications (6 papers), Photonic and Optical Devices (5 papers), Power System Optimization and Stability (5 papers) and Neural Networks Stability and Synchronization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (350 citations), Statistical and Nonlinear Physics (207 citations), Computer Networks and Communications (112 citations), Energy Engineering and Power Technology (15 citations) and Media Technology (29 citations). Duqu Wei has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Junxiu Liu, Lvchen Cao, Yuling Luo, Chunlai Li, Jiadong Huang, Su Yang, Lin Jia, Xuemei Ding, Yi Cao and Hongmin Li. Their work appears in journals such as Optik, Nonlinear Dynamics, Chinese Physics Letters, Plasmonics and IEEE Access.

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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