Tsung‐Hui Chang

9.2k citations
225 papers · 6.1k indexed · 4 hit papers · h-index 36

Tsung‐Hui Chang

213 papers receiving 6.0k citations

Hit Papers

Flight Time Minimization of UAV for Data Collection Over ...3032014202620182022200400600

Peers

Tsung‐Hui Chang
Comparison fields: 5 of 123
  • Computer Networks and Communications 2.4k
  • Electrical and Electronic Engineering 3.7k
  • Aerospace Engineering 1.4k
  • Artificial Intelligence 1.2k
  • Health Informatics 39
Replace Yuanming Shi with:
Yuanming Shi China
Guoru Ding China
J. Andrew Zhang Australia
Eryk Dutkiewicz Australia
Zubair Md. Fadlullah Canada
Jun Zhang Hong Kong
Denız Gündüz United Kingdom
Shaodan Ma Macao
Haris Gacanin Germany
Yuhua Xu China
Tsung‐Hui Chang relative to Yuanming Shi China Yuanming Shi's profile →
Citations per field
00.5×3.2×
Yuanming Shi · 1×
Citations per year

Countries citing papers authored by Tsung‐Hui Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20247
4 202444
5 20241
6 20241
7 20241
8 20242
9 20249
10 20230
11 20237
12 202313
13 202274
14 202230
15 20226
16 20225
17 202229
18
Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing.
20202
19 201956
20
On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions.
20189

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), Sparse and Compressive Sensing Techniques (24 papers), Wireless Communication Security Techniques (21 papers), Distributed Control Multi-Agent Systems (21 papers), Energy Harvesting in Wireless Networks (20 papers), Advanced Wireless Communication Techniques (20 papers) and Advanced Wireless Communication Technologies (19 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.

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