Dake He

108 papers receiving 784 citations

Peers

Dake He
Comparison fields: 5 of 69
  • Computer Networks and Communications 263
  • Computer Vision and Pattern Recognition 219
  • Signal Processing 106
  • Computational Theory and Mathematics 132
  • Artificial Intelligence 255
Replace Alex Nicolau with:
Alex Nicolau United States
M. Hassan Najafi United States
Jintao Zhang China
Yuke Wang United States
Luan Viet Nguyen United States
Luis Parrilla Spain
Ankur Agrawal United States
Mohamed Watheq El-Kharashi Egypt
Michael Pellauer United States
Duncan J. M. Moss Australia
Dake He relative to Alex Nicolau United States Alex Nicolau's profile →
Citations per field
00.5×1.5×2×2.4×
Alex Nicolau · 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 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200358
2 200943
3 200536
4 200335
5 200935
6 201024
7 201423
8 200521
9 202019
10 200919
11 200718
12 200918
13 200816
14 202116
15 200916
16 202316
17 201714
18 200614
19 200613
20 202013

About Dake He

Dake He is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 119 papers that have together received 819 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 (17 papers), Advanced Data Compression Techniques (14 papers), DNA and Biological Computing (14 papers), Chaos-based Image/Signal Encryption (13 papers) and Algorithms and Data Compression (12 papers). The work is most often cited by research in Computer Networks and Communications (263 citations), Computer Vision and Pattern Recognition (219 citations), Signal Processing (106 citations), Computational Theory and Mathematics (132 citations) and Artificial Intelligence (255 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, J. CHEN, L. A. Lastras-Montaño, Ligang Lu, Wei Min 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, IEEE Transactions on Circuits and Systems for Video Technology and Annals of Clinical and Translational Neurology.

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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