Tsung‐Hui Chang
- Electrical and Electronic Engineering top 1%
- Computer Networks and Communications top 0.5%
- Aerospace Engineering top 0.5%
- Artificial Intelligence top 1%
- Control and Systems Engineering top 2%
- Co-authors
- Chong‐Yung ChiWing‐Kin MaChao ShenMingyi HongKunyu WangAnna ScaglioneXiangfeng WangAnthony Man–Cho So
- Topics
- Advanced MIMO Systems Optimization (79 papers)Cooperative Communication and Network Coding (47 papers)Sparse and Compressive Sensing Techniques (24 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Power SystemsIEEE Transactions on Signal Processing
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Tsung‐Hui Chang
213 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Electrical and Electronic Engineering 3.7k
- Computer Networks and Communications 2.4k
- Aerospace Engineering 1.4k
- Artificial Intelligence 1.2k
- Control and Systems Engineering 556
Countries citing papers authored by Tsung‐Hui Chang
This map shows the geographic impact of Tsung‐Hui Chang'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 Tsung‐Hui Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung‐Hui Chang more than expected).
Fields of papers citing papers by Tsung‐Hui Chang
This network shows the impact of papers produced by Tsung‐Hui Chang. 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 Tsung‐Hui Chang. The network helps show where Tsung‐Hui Chang may publish in the future.
Co-authorship network of co-authors of Tsung‐Hui Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Hui Chang. A scholar is included among the top collaborators of Tsung‐Hui Chang 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 Tsung‐Hui Chang. Tsung‐Hui Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 44 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 74 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 29 | |
| 18 | Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing. | 2 |
| 19 | 56 | |
| 20 | On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions. | 9 |
About Tsung‐Hui Chang
Tsung‐Hui Chang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 225 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (79 papers), Cooperative Communication and Network Coding (47 papers) and Sparse and Compressive Sensing Techniques (24 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Electrical and Electronic Engineering (3.7k citations) and Aerospace Engineering (1.4k citations). Tsung‐Hui Chang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chong‐Yung Chi, Wing‐Kin Ma, Chao Shen, Mingyi Hong, Kunyu Wang, Anna Scaglione, Xiangfeng Wang, Anthony Man–Cho So, Wei-Cheng Liao and Jie Gong. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems and IEEE Transactions on Signal Processing.
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.