Tze-Yang Tung

34 total papers · 888 total citations
19 papers, 570 citations indexed

About

Tze-Yang Tung is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Tze-Yang Tung has authored 19 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Tze-Yang Tung's work include Sparse and Compressive Sensing Techniques (4 papers), Advanced Data Compression Techniques (4 papers) and Molecular Communication and Nanonetworks (3 papers). Tze-Yang Tung is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Advanced Data Compression Techniques (4 papers) and Molecular Communication and Nanonetworks (3 papers). Tze-Yang Tung collaborates with scholars based in United Kingdom, United States and China. Tze-Yang Tung's co-authors include Denız Gündüz, Mikołaj Jankowski, David Burth Kurka, Pier Luigi Dragotti, Mahdi Boloursaz Mashhadi, Wei Chen, Jialong Xu, Yuxuan Sun, Bo Ai and Urbashi Mitra and has published in prestigious journals such as Proceedings of the IEEE, IEEE Communications Magazine and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Tze-Yang Tung

19 papers receiving 568 citations

Hit Papers

DeepWiVe: Deep-Learning-A... 2022 2026 2023 2024 2022 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. DeepWiVe: Deep-Learning-Aided Wireless Video Transmission
    2022 114 citations Tze-Yang Tung, Denız Gündüz IEEE Journal on Selected Areas in Communications profile →
  2. Generative Joint Source-Channel Coding for Semantic Image Transmission
    2023 80 citations Tze-Yang Tung, Pier Luigi Dragotti et al. IEEE Journal on Selected Areas in Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tze-Yang Tung 224 211 163 132 53 19 570
D.E. Van den Bout 164 0.7× 316 1.5× 98 0.6× 122 0.9× 45 0.8× 23 552
Zhenzi Weng 186 0.8× 392 1.9× 168 1.0× 117 0.9× 67 1.3× 10 645
Xue Lin 139 0.6× 219 1.0× 233 1.4× 217 1.6× 37 0.7× 27 605
Xiao Yu 72 0.3× 210 1.0× 100 0.6× 123 0.9× 64 1.2× 34 545
Liuwei Huo 248 1.1× 143 0.7× 348 2.1× 71 0.5× 53 1.0× 22 588
Xiaosong Zhang 83 0.4× 280 1.3× 181 1.1× 92 0.7× 58 1.1× 21 583
Sreeraj Rajendran 181 0.8× 239 1.1× 177 1.1× 75 0.6× 83 1.6× 19 520
Pedro A. Forero 156 0.7× 259 1.2× 280 1.7× 80 0.6× 92 1.7× 33 598
Huaji Zhou 144 0.6× 290 1.4× 150 0.9× 68 0.5× 86 1.6× 28 536
Ping Deng 292 1.3× 204 1.0× 203 1.2× 192 1.5× 56 1.1× 42 614

Countries citing papers authored by Tze-Yang Tung

Since Specialization
Citations

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

Fields of papers citing papers by Tze-Yang Tung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tze-Yang Tung. 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 Tze-Yang Tung. The network helps show where Tze-Yang Tung may publish in the future.

Co-authorship network of co-authors of Tze-Yang Tung

This figure shows the co-authorship network connecting the top 25 collaborators of Tze-Yang Tung. A scholar is included among the top collaborators of Tze-Yang Tung 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 Tze-Yang Tung. Tze-Yang Tung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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