En‐hui Yang

151 papers receiving 1.9k citations

Peers

En‐hui Yang
Comparison fields: 5 of 97
  • Signal Processing 527
  • Computer Vision and Pattern Recognition 788
  • Computational Theory and Mathematics 465
  • Computer Networks and Communications 601
  • Artificial Intelligence 825
Replace Glen G. Langdon with:
Glen G. Langdon United States
L.P. Cordella Italy
Robert Krauthgamer Israel
Kenneth G. Paterson United Kingdom
Alexandr Andoni United States
Rasmus Pagh Denmark
In‐Cheol Park South Korea
Dongdai Lin China
Victor K. Wei Hong Kong
Henk D. L. Hollmann Netherlands
En‐hui Yang relative to Glen G. Langdon United States Glen G. Langdon's profile →
Citations per field
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Glen G. Langdon · 1×
Citations per year

Countries citing papers authored by En‐hui Yang

Since Specialization
Citations

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

Fields of papers citing papers by En‐hui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by En‐hui Yang. 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 En‐hui Yang. The network helps show where En‐hui Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000183
2 2009103
3 199878
4 199774
5 200770
6 200058
7 200055
8 200055
9 199653
10 200350
11 199750
12 201545
13 199940
14 200938
15 200934
16 200833
17 201730
18 201428
19 201427
20 200126

About En‐hui Yang

En‐hui Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing, having authored 165 papers that have together received 2.0k indexed citations. Recurring topics across this work include Algorithms and Data Compression (54 papers), Advanced Data Compression Techniques (49 papers), Video Coding and Compression Technologies (36 papers), Error Correcting Code Techniques (35 papers), DNA and Biological Computing (35 papers), Wireless Communication Security Techniques (34 papers), Cellular Automata and Applications (33 papers) and Advanced Vision and Imaging (20 papers). The work is most often cited by research in Signal Processing (527 citations), Computer Vision and Pattern Recognition (788 citations), Computational Theory and Mathematics (465 citations), Computer Networks and Communications (601 citations) and Artificial Intelligence (825 citations). En‐hui Yang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include John C. Kieffer, Dake He, Nan Hu, Jin Meng, Xiang Yu, Haiquan Wang, Zhijin Zhao, Wei Zhang, Chang Sun and Victor K. Wei. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

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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