Dake He

103 papers receiving 730 citations

Peers

Dake He
Comparison fields: 5 of 68
  • Computer Networks and Communications 249
  • Computer Vision and Pattern Recognition 210
  • Signal Processing 94
  • Computational Theory and Mathematics 126
  • Artificial Intelligence 225
Replace Xin-Wen Wu with:
Xin-Wen Wu Australia
Li Shang China
Alex Nicolau United States
M. Hassan Najafi United States
Jintao Zhang China
Yuke Wang United States
M. Watheq El‐Kharashi Egypt
Luis Parrilla Spain
Jiacheng Yang China
Michael Pellauer United States
Dake He relative to Xin-Wen Wu Australia Xin-Wen Wu's profile →
Citations per field
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Xin-Wen Wu · 1×
Citations per year

Countries citing papers authored by Dake He

Since Specialization
Citations

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

Fields of papers citing papers by Dake He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200350
2 200941
3 200536
4 200335
5 200934
6 201422
7 201022
8 202018
9 200718
10 200817
11 202116
12 200516
13 200916
14 200915
15 200914
16 202313
17 200613
18 200813
19 200713
20 200613

About Dake He

Dake He is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, having authored 116 papers that have together received 766 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (35 papers), Error Correcting Code Techniques (22 papers), Cellular Automata and Applications (17 papers), Cryptography and Data Security (14 papers), Advanced Data Compression Techniques (14 papers), DNA and Biological Computing (14 papers), Algorithms and Data Compression (12 papers) and Chaos-based Image/Signal Encryption (12 papers). The work is most often cited by research in Computer Networks and Communications (249 citations), Computer Vision and Pattern Recognition (210 citations), Signal Processing (94 citations), Computational Theory and Mathematics (126 citations) and Artificial Intelligence (225 citations). Dake He has collaborated with scholars based in United States, China and Canada. Frequent co-authors include En‐hui Yang, Ashish Jagmohan, R.M. Nelms, Jun Chen, L. A. Lastras-Montaño, Ligang Lu, Wei Guo, Yang Cao, Yu Zheng and Changji Wang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Communications, Epilepsy & Behavior 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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