Tsung‐Hui Chang

9.2k total citations · 4 hit papers
225 papers, 6.1k citations indexed

About

Tsung‐Hui Chang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Tsung‐Hui Chang has authored 225 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Electrical and Electronic Engineering, 92 papers in Computer Networks and Communications and 51 papers in Artificial Intelligence. Recurrent topics in Tsung‐Hui Chang's work include Advanced MIMO Systems Optimization (79 papers), Cooperative Communication and Network Coding (47 papers) and Sparse and Compressive Sensing Techniques (24 papers). Tsung‐Hui Chang is often cited by papers focused on Advanced MIMO Systems Optimization (79 papers), Cooperative Communication and Network Coding (47 papers) and Sparse and Compressive Sensing Techniques (24 papers). Tsung‐Hui Chang collaborates with scholars based in China, Taiwan and United States. Tsung‐Hui Chang's 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 and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems and IEEE Transactions on Signal Processing.

In The Last Decade

Tsung‐Hui Chang

213 papers receiving 6.0k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization

2014 669 citations Anthony Man–Cho So, Tsung‐Hui Chang et al. IEEE Transactions on Signal Processing profile →
Flight Time Minimization of UAV for Data Collection Over Wireless Sensor Networks

2018 303 citations Tsung‐Hui Chang, Chao Shen et al. IEEE Journal on Selected Areas in Communications profile →
Multi-Agent Distributed Optimization via Inexact Consensus ADMM

2014 290 citations Tsung‐Hui Chang, Mingyi Hong et al. IEEE Transactions on Signal Processing profile →
Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method

2014 272 citations Tsung‐Hui Chang et al. profile →

Peers

Tsung‐Hui Chang

EEE

CNC

CSE

Yuanming Shi China

Chao-Kai Wen Taiwan

Guoru Ding China

Mikael Skoglund Sweden

Wen Chen China

Wei Chen China

Huaiyu Dai United States

Ali Ghrayeb Canada

Chang Wook Ahn South Korea

Ming Xiao Sweden

Yuanming Shi China

Tsung‐Hui Chang

5.0k ×1.4

EEE

2.8k ×1.2

CNC

1.4k ×1.1

2.2k ×1.8

190 ×0.3

CSE

Citations per year, relative to Tsung‐Hui Chang Tsung‐Hui Chang (= 1×) peers Yuanming Shi

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 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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Jiawei, et al.. (2025). Beamforming Optimization for Robust Sensing and Communication in Dynamic mmWave MIMO Networks. IEEE Journal on Selected Areas in Communications. 43(4). 1354–1370.

Shi, Rui, Yanqing Xu, Lin Zhu, & Tsung‐Hui Chang. (2024). Linear Compression-based Precoding for Massive MIMO Systems with Decentralized Baseband Processing. 852–857. 2 indexed citations

Zheng, Xi, et al.. (2024). A Physics-Based and Data-Driven Approach for Localized Statistical Channel Modeling. IEEE Transactions on Wireless Communications. 23(6). 5409–5424. 7 indexed citations

Liu, Ya‐Feng, Tsung‐Hui Chang, Mingyi Hong, et al.. (2024). A Survey of Recent Advances in Optimization Methods for Wireless Communications. IEEE Journal on Selected Areas in Communications. 42(11). 2992–3031. 44 indexed citations

Gu, Yuantao, et al.. (2024). Decentralized Rank-Adaptive Matrix Factorization—Part II: Convergence Analysis. IEEE Transactions on Signal Processing. 73. 4141–4154. 1 indexed citations

Zhang, Kexin, et al.. (2024). Joint Fronthaul Compression and Power Allocation Optimization for Networked ISAC. IEEE Transactions on Vehicular Technology. 74(5). 8279–8284. 1 indexed citations

Li, Yang, Ya‐Feng Liu, Fan Xu, Qingjiang Shi, & Tsung‐Hui Chang. (2024). Learning to Optimize QoS-Constrained Beamforming in Multi-User Systems: A Penalty-Dual Framework. IEEE Transactions on Wireless Communications. 23(11). 16123–16138. 1 indexed citations

Gu, Yuantao, et al.. (2024). Decentralized Rank-Adaptive Matrix Factorization—Part I: Algorithm Development. IEEE Transactions on Signal Processing. 73. 4124–4140. 2 indexed citations

Li, Yang, et al.. (2024). Communication-Efficient Activity Detection for Cell-Free Massive MIMO: An Augmented Model-Driven End-to-End Learning Framework. IEEE Transactions on Wireless Communications. 23(10). 12888–12903. 9 indexed citations

10.

Gao, Haiqing, et al.. (2023). FedHD: Communication-efficient federated learning from hybrid data. Journal of the Franklin Institute. 360(12). 8416–8454.

11.

Liu, Ya‐Feng, et al.. (2023). CSI Sensing From Heterogeneous User Feedbacks: A Constrained Phase Retrieval Approach. IEEE Transactions on Wireless Communications. 22(10). 6930–6945. 7 indexed citations

12.

Liu, Yang, et al.. (2023). Communication-Efficient Decentralized Linear Precoding for Massive MU-MIMO Systems. IEEE Transactions on Signal Processing. 71. 4045–4059. 13 indexed citations

13.

Cheng, Lei, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, & Tsung‐Hui Chang. (2022). Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Processing Magazine. 39(6). 18–52. 74 indexed citations

14.

Sun, Haoran, Wenqiang Pu, Xiao Fu, Tsung‐Hui Chang, & Mingyi Hong. (2022). Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective. IEEE Transactions on Signal Processing. 70. 1900–1917. 30 indexed citations

15.

Xia, Shuqiang, et al.. (2022). Downlink CSI Recovery in Massive MIMO Systems by Proactive Sensing. IEEE Wireless Communications Letters. 12(3). 406–410. 6 indexed citations

16.

Zhang, Jiawei, et al.. (2022). Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem. IEEE Transactions on Signal Processing. 70. 3312–3327. 5 indexed citations

17.

Lu, Songtao, et al.. (2022). An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization. ACM Transactions on Intelligent Systems and Technology. 13(5). 1–28. 29 indexed citations

18.

Wang, Shuai & Tsung‐Hui Chang. (2020). Federated Clustering via Matrix Factorization Models: From Model Averaging to Gradient Sharing.. arXiv (Cornell University). 2 indexed citations

19.

Chang, Tsung‐Hui, et al.. (2019). UAV Positioning and Power Control for Two-Way Wireless Relaying. IEEE Transactions on Wireless Communications. 19(2). 1008–1024. 56 indexed citations

20.

Xu, Yanqing, Chao Shen, Tsung‐Hui Chang, et al.. (2018). On Energy-Efficient NOMA Designs for Heterogeneous Low-Latency Downlink Transmissions.. arXiv (Cornell University). 9 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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