En‐hui Yang

3.1k total citations
163 papers, 1.9k citations indexed

About

En‐hui Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, En‐hui Yang has authored 163 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 66 papers in Artificial Intelligence and 56 papers in Electrical and Electronic Engineering. Recurrent topics in En‐hui Yang's work include Algorithms and Data Compression (53 papers), Advanced Data Compression Techniques (48 papers) and Video Coding and Compression Technologies (36 papers). En‐hui Yang is often cited by papers focused on Algorithms and Data Compression (53 papers), Advanced Data Compression Techniques (48 papers) and Video Coding and Compression Technologies (36 papers). En‐hui Yang collaborates with scholars based in Canada, United States and China. En‐hui Yang's co-authors include John C. Kieffer, Dake He, Nan Hu, Jin Meng, Xiang Yu, Zhijin Zhao, Haiquan Wang, Wei Zhang, Chang Sun and Victor K. Wei and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

En‐hui Yang

149 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
En‐hui Yang Canada 23 825 782 599 548 523 163 1.9k
Glen G. Langdon United States 13 1.3k 1.6× 1.3k 1.6× 488 0.8× 197 0.4× 477 0.9× 52 2.1k
Mohammad Reza Aref Iran 22 724 0.9× 290 0.4× 1.1k 1.8× 945 1.7× 155 0.3× 238 1.9k
Kenneth G. Paterson United Kingdom 25 2.1k 2.5× 347 0.4× 1.2k 1.9× 937 1.7× 210 0.4× 111 3.0k
Negar Kiyavash United States 17 763 0.9× 472 0.6× 397 0.7× 124 0.2× 487 0.9× 111 1.5k
Robert Krauthgamer Israel 26 602 0.7× 253 0.3× 697 1.2× 187 0.3× 183 0.3× 110 2.0k
Takao Nishizeki Japan 22 597 0.7× 472 0.6× 575 1.0× 418 0.8× 138 0.3× 142 2.2k
Victor K. Wei Hong Kong 22 2.0k 2.5× 286 0.4× 1.0k 1.7× 1.7k 3.0× 126 0.2× 70 3.0k
Alexandr Andoni United States 17 1.0k 1.2× 1.5k 1.9× 368 0.6× 60 0.1× 453 0.9× 57 2.4k
Gábor Tardos Hungary 23 498 0.6× 508 0.6× 433 0.7× 232 0.4× 149 0.3× 117 2.1k
Mihai Pǎtraşcu United States 20 544 0.7× 188 0.2× 284 0.5× 143 0.3× 166 0.3× 57 1.0k

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-authorship network of co-authors of En‐hui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of En‐hui Yang. A scholar is included among the top collaborators of En‐hui Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with En‐hui Yang. En‐hui Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, En‐hui, et al.. (2025). Conditional Mutual Information Constrained Deep Learning for Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15436–15448. 1 indexed citations
2.
Ma, Xianhui, et al.. (2024). Pharmacodynamic insights into maresin 1: Enhancing flap viability via the keap1/Nrf2 axis to control ROS-driven apoptosis and ferroptosis. European Journal of Pharmaceutical Sciences. 203. 106923–106923. 4 indexed citations
3.
Ye, Linfeng, et al.. (2024). Fed-IT: Addressing Class Imbalance in Federated Learning through an Information- Theoretic Lens. 1848–1853. 1 indexed citations
4.
Ye, Linfeng, et al.. (2023). JPEG Compliant Compression for DNN Vision. 1875–1879. 1 indexed citations
5.
Yang, En‐hui, et al.. (2021). Compression Helps Deep Learning in Image Classification. Entropy. 23(7). 881–881. 16 indexed citations
6.
Wu, Xin-Wen, En‐hui Yang, & Junhu Wang. (2017). Lightweight security protocols for the Internet of Things. Griffith Research Online (Griffith University, Queensland, Australia). 16 indexed citations
7.
Yang, En‐hui, et al.. (2016). Bipartite grammar-based representations of large sparse binary matrices: Framework and transforms. International Symposium on Information Theory and its Applications. 241–245. 1 indexed citations
8.
Fang, Yong, Vladimir Stanković, Samuel Cheng, & En‐hui Yang. (2016). Hamming Distance Spectrum of DAC Codes for Equiprobable Binary Sources. IEEE Transactions on Communications. 64(3). 1232–1245. 9 indexed citations
9.
Yang, En‐hui, et al.. (2016). Scene-based low delay HEVC encoding framework based on transparent composite modeling. 809–813. 4 indexed citations
10.
Sun, Chang & En‐hui Yang. (2014). An efficient DCT-based image compression system based on transparent composite model. 5611–5615. 1 indexed citations
11.
Kieffer, John C., En‐hui Yang, & Wojciech Szpankowski. (2009). Structural complexity of random binary trees. 635–639. 17 indexed citations
12.
He, Dake, L. A. Lastras-Montaño, & En‐hui Yang. (2006). On the Relationship between Redundancy and Decoding Error in Slepian-Wolf Coding. 332–336. 6 indexed citations
13.
Yang, En‐hui, Dake He, & John C. Kieffer. (2005). Grammar-based coding: new perspectives. Manufacturing Engineer. 105–110. 2 indexed citations
14.
Chen, Wen‐Yuan, En‐hui Yang, & Zheng Zhang. (2002). A variant of address vector quantization for image compression using lossless conditional entropy coding. 4. 2483–2486.
15.
Lanctot, J. Kevin, et al.. (2000). Estimating DNA sequence entropy. Symposium on Discrete Algorithms. 409–418. 55 indexed citations
16.
Kieffer, John C. & En‐hui Yang. (1999). A simple technique for bounding the pointwise redundancy of the 1978 Lempel-Ziv algorithm. 434–442. 7 indexed citations
17.
Yang, En‐hui & Zhen Zhang. (1999). The shortest common superstring problem: average case analysis for both exact and approximate matching. IEEE Transactions on Information Theory. 45(6). 1867–1886. 7 indexed citations
18.
Yang, En‐hui & John C. Kieffer. (1997). On the redundancy of the fixed-database Lempel-Ziv algorithm for φ-mixing sources. IEEE Transactions on Information Theory. 43(4). 1101–1111. 22 indexed citations
19.
Yang, En‐hui, et al.. (1997). The redundancy of source coding with a fidelity criterion. 1. Known statistics. IEEE Transactions on Information Theory. 43(1). 71–91. 73 indexed citations
20.
Yang, En‐hui & Shiyi Shen. (1993). Distortion program-size complexity with respect to a fidelity criterion and rate-distortion function. IEEE Transactions on Information Theory. 39(1). 288–292. 20 indexed citations

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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