Erfu Wang

425 citations
33 papers · 280 · h-index 11

Impact in

Papers in

Erfu Wang

30 papers receiving 269 citations

Peers

Erfu Wang
Comparison fields: 5 of 33
  • Computer Vision and Pattern Recognition 216
  • Statistical and Nonlinear Physics 48
  • Signal Processing 39
  • Computational Theory and Mathematics 36
  • Mathematical Physics 17
Replace K. C. Jithin with:
K. C. Jithin Egypt
Kaixin Jiao China
Youxia Dong China
A. Ali Pacha Algeria
Ensherah A. Naeem Egypt
Laiphrakpam Dolendro Singh India
Huaijun Qiu China
Mousa Farajallah Palestinian Territory
Erfu Wang relative to K. C. Jithin Egypt K. C. Jithin's profile →
Citations per field
00.5×
K. C. Jithin · 1×
Citations per year

Countries citing papers authored by Erfu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Erfu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201950
2 202131
3 201125
4 202319
5 202117
6 202115
7 202013
8 202211
9 202311
10 201611
11 202211
12 201310
13 20247
14 20216
15 20205
16 20234
17 20244
18 20244
19 20214
20 20193

About Erfu Wang

Erfu Wang is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 33 papers that have together received 280 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (19 papers), Advanced Steganography and Watermarking Techniques (10 papers), Chaos control and synchronization (8 papers), Advanced Image Processing Techniques (5 papers), Blind Source Separation Techniques (4 papers), Digital Media Forensic Detection (4 papers), Cellular Automata and Applications (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (216 citations), Statistical and Nonlinear Physics (48 citations), Signal Processing (39 citations), Computational Theory and Mathematics (36 citations) and Mathematical Physics (17 citations). Erfu Wang has collaborated with scholars based in China. Frequent co-authors include Qun Ding, Yaqin Xie, Bing Zhao, Jia Liu, Yanqi Zhou, Zhifang Wang, Danyang Qin, Zhiyong Tong, Qi Han and Chao Li. Their work appears in journals such as Complexity, Electronics, Nonlinear Dynamics, International Journal of Bifurcation and Chaos and PLoS ONE.

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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