Zhenya He

3.2k citations
168 papers · 1.4k · h-index 20

Impact in

Papers in

Zhenya He

147 papers receiving 1.3k citations

Peers

Zhenya He
Comparison fields: 5 of 100
  • Acoustics and Ultrasonics 41
  • Signal Processing 285
  • Computer Vision and Pattern Recognition 501
  • Statistical and Nonlinear Physics 275
  • Computer Networks and Communications 282
Replace J.P. Barbot with:
J.P. Barbot France
Yinghong Cao China
J.-J. Fuchs France
Alyson K. Fletcher United States
Waheed U. Bajwa United States
L.T. Bruton Canada
Juan Andrés Bazerque United States
J. E. Mazo United States
Michael Strauss United States
Bogdan Dumitrescu Romania
Zhenya He relative to J.P. Barbot France J.P. Barbot's profile →
Citations per field
00.5×3.4×
J.P. Barbot · 1×
Citations per year

Countries citing papers authored by Zhenya He

Since Specialization
Citations

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

Fields of papers citing papers by Zhenya He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005135
2 199693
3 201477
4 199767
5 200564
6 199439
7 200334
8 200432
9 200631
10 201928
11 199527
12 199827
13 201927
14 202026
15 200226
16 199424
17 199623
18 201523
19 200022
20 199921

About Zhenya He

Zhenya He is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 168 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (34 papers), Blind Source Separation Techniques (31 papers), Image and Signal Denoising Methods (20 papers), Chaos control and synchronization (16 papers), Advanced Adaptive Filtering Techniques (15 papers), Digital Filter Design and Implementation (12 papers), Speech and Audio Processing (12 papers) and Chaos-based Image/Signal Encryption (10 papers). The work is most often cited by research in Acoustics and Ultrasonics (41 citations), Signal Processing (285 citations), Computer Vision and Pattern Recognition (501 citations), Statistical and Nonlinear Physics (275 citations) and Computer Networks and Communications (282 citations). Zhenya He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongtao Lu, Wenjiang Pei, Kai Wang, Cairong Zou, Aiguo Song, Xiqi Gao, Pei Pei, Lüxi Yang, Jianzhong Fu and Xiao-Hu Yu. Their work appears in journals such as Physics Letters A, Signal Processing, Neural Processing Letters, IEEE Transactions on Biomedical Engineering and Chinese Physics Letters.

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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