De-Nian Yang
Impact in
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays
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- Software-Defined Networks and 5G
- Caching and Content Delivery
- Cooperative Communication and Network Coding
Papers in
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- Cooperative Communication and Network Coding 19
- Caching and Content Delivery 19
- Software-Defined Networks and 5G 16
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- Interactive and Immersive Displays 18
- Co-authors
- Ming-Syan Chen⋆Wang-Chien LeeWanjiun LiaoWen-Tsuen ChenLiang-Hao HuangBing‐Yu ChenRong-Hao LiangPhilip S. Yu
- Journals
- IEEE Transactions on Knowledge and Data Engineering (15 papers)IEEE Transactions on Mobile Computing (13 papers)IEEE Transactions on Services Computing (3 papers)IEEE Transactions on Parallel and Distributed Systems (3 papers)Electronics Letters (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
De-Nian Yang
160 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Human-Computer Interaction 352
- Computer Networks and Communications 784
- Signal Processing 267
- Statistical and Nonlinear Physics 233
- Computer Vision and Pattern Recognition 361
Countries citing papers authored by De-Nian Yang
This map shows the geographic impact of De-Nian 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 De-Nian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De-Nian Yang more than expected).
Fields of papers citing papers by De-Nian Yang
This network shows the impact of papers produced by De-Nian 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 De-Nian Yang. The network helps show where De-Nian Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside De-Nian Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 26 | |
| 18 | 2017 | 0 | |
| 19 | 2017 | 34 | |
| 20 | 2014 | 30 |
About De-Nian Yang
De-Nian Yang is a scholar working on Computer Networks and Communications, Human-Computer Interaction, Computational Mathematics, Signal Processing and Statistical and Nonlinear Physics, having authored 175 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (29 papers), Image and Video Quality Assessment (20 papers), Cooperative Communication and Network Coding (19 papers), Caching and Content Delivery (19 papers), Interactive and Immersive Displays (18 papers), Data Management and Algorithms (17 papers), Software-Defined Networks and 5G (16 papers) and Advanced MIMO Systems Optimization (16 papers). The work is most often cited by research in Human-Computer Interaction (352 citations), Computer Networks and Communications (784 citations), Signal Processing (267 citations), Statistical and Nonlinear Physics (233 citations) and Computer Vision and Pattern Recognition (361 citations). De-Nian Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming-Syan Chen⋆, Wang-Chien Lee, Wanjiun Liao, Wen-Tsuen Chen, Liang-Hao Huang, Bing‐Yu Chen, Rong-Hao Liang, Philip S. Yu, Shan-Hsiang Shen and Liwei Chan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Mobile Computing, IEEE Transactions on Services Computing, IEEE Transactions on Parallel and Distributed Systems and Electronics Letters.
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.