Danny H. K. Tsang

7.6k total citations
278 papers, 5.5k citations indexed

About

Danny H. K. Tsang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Information Systems. According to data from OpenAlex, Danny H. K. Tsang has authored 278 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Computer Networks and Communications, 173 papers in Electrical and Electronic Engineering and 30 papers in Management Information Systems. Recurrent topics in Danny H. K. Tsang's work include Advanced Wireless Network Optimization (57 papers), Network Traffic and Congestion Control (54 papers) and Advanced MIMO Systems Optimization (41 papers). Danny H. K. Tsang is often cited by papers focused on Advanced Wireless Network Optimization (57 papers), Network Traffic and Congestion Control (54 papers) and Advanced MIMO Systems Optimization (41 papers). Danny H. K. Tsang collaborates with scholars based in Hong Kong, United States and China. Danny H. K. Tsang's co-authors include Yuan Wu, Bo Sun, Xiaoqi Tan, Keith W. Ross, Brahim Bensaou, Liping Qian, Zhe Huang, Deyun Gao, Qinglin Zhao and Tian Liu and has published in prestigious journals such as Water Research, European Journal of Operational Research and IEEE Transactions on Power Systems.

In The Last Decade

Danny H. K. Tsang

262 papers receiving 5.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danny H. K. Tsang Hong Kong 39 3.8k 3.1k 868 607 470 278 5.5k
Reinhard German Germany 30 2.4k 0.6× 1.8k 0.6× 949 1.1× 1.1k 1.8× 315 0.7× 261 4.5k
Catherine Rosenberg Canada 33 3.3k 0.9× 3.7k 1.2× 326 0.4× 437 0.7× 214 0.5× 195 5.2k
Liudong Xing United States 47 842 0.2× 1.7k 0.5× 918 1.1× 913 1.5× 641 1.4× 384 8.6k
Tansu Alpcan Australia 40 2.6k 0.7× 3.0k 1.0× 384 0.4× 1.1k 1.8× 999 2.1× 236 5.5k
Ragunathan Rajkumar United States 35 1.0k 0.3× 2.9k 0.9× 591 0.7× 912 1.5× 522 1.1× 140 5.9k
Stein Gjessing Norway 33 3.1k 0.8× 2.5k 0.8× 358 0.4× 836 1.4× 695 1.5× 113 4.5k
Omprakash Kaiwartya United Kingdom 37 2.6k 0.7× 2.7k 0.9× 629 0.7× 298 0.5× 855 1.8× 159 4.5k
Vincent W. S. Wong Canada 50 10.5k 2.7× 5.2k 1.7× 878 1.0× 3.2k 5.3× 515 1.1× 291 12.7k
P. R. Kumar United States 23 1.4k 0.4× 1.3k 0.4× 156 0.2× 1.4k 2.3× 156 0.3× 133 3.3k
Xumin Huang China 27 1.9k 0.5× 1.9k 0.6× 424 0.5× 388 0.6× 1.9k 4.0× 88 3.8k

Countries citing papers authored by Danny H. K. Tsang

Since Specialization
Citations

This map shows the geographic impact of Danny H. K. Tsang'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 Danny H. K. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny H. K. Tsang more than expected).

Fields of papers citing papers by Danny H. K. Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny H. K. Tsang. 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 Danny H. K. Tsang. The network helps show where Danny H. K. Tsang may publish in the future.

Co-authorship network of co-authors of Danny H. K. Tsang

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

All Works

20 of 20 papers shown
1.
Yu, Jiadong, et al.. (2025). Federated Prompt-Based Decision Transformer for Resource Allocation of Customized VR Streaming in Mobile Edge Computing. IEEE Transactions on Wireless Communications. 25. 743–757. 1 indexed citations
2.
Guo, Huayan, et al.. (2024). Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach. IEEE Transactions on Signal Processing. 72. 1944–1959. 1 indexed citations
3.
Yu, Jiadong, et al.. (2024). Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality. IEEE Transactions on Wireless Communications. 23(9). 11276–11290. 16 indexed citations
4.
Sun, Bo, Mohammad Hajiesmaili, Adam Wierman, et al.. (2023). The Online Knapsack Problem with Departures. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 59–60. 1 indexed citations
5.
Tsang, Danny H. K., et al.. (2023). Structured Bayesian Federated Learning for Green AI: A Decentralized Model Compression Using Turbo-VBI-Based Approach. IEEE Internet of Things Journal. 11(7). 12783–12798. 2 indexed citations
6.
Tsang, Danny H. K., et al.. (2023). Structured Bayesian Compression for Deep Neural Networks Based on the Turbo-VBI Approach. IEEE Transactions on Signal Processing. 71. 670–685. 3 indexed citations
7.
Tsang, Danny H. K., et al.. (2023). A freshwater algae classification system based on machine learning with StyleGAN2-ADA augmentation for limited and imbalanced datasets. Water Research. 243. 120409–120409. 13 indexed citations
8.
Zhang, Jun, et al.. (2023). FedFA: Federated Learning With Feature Anchors to Align Features and Classifiers for Heterogeneous Data. IEEE Transactions on Mobile Computing. 23(6). 6731–6742. 35 indexed citations
9.
Liu, Tian, Xiaoqi Tan, Bo Sun, et al.. (2015). Energy management of cooperative microgrids with P2P energy sharing in distribution networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 410–415. 91 indexed citations
10.
Wu, Yuan, Xiaoqi Tan, Limin Meng, et al.. (2014). Cooperative distributed energy generation and energy trading for future smart grid. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8150–8157. 11 indexed citations
11.
Zhao, Qinglin, Danny H. K. Tsang, & Taka Sakurai. (2011). A simple nonsaturated IEEE 802.11e EDCA model. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 135–142. 1 indexed citations
12.
Li, Zhenjiang, Yao Yu, Xiaojun Hei, & Danny H. K. Tsang. (2008). Towards low-redundancy push-pull P2P live streaming. 13. 13 indexed citations
13.
Hei, Xiaojun, Danny H. K. Tsang, & Brahim Bensaou. (2004). On model-based available bandwidth measurement on the Internet. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 3 indexed citations
14.
Yung, Sun, Jun Gu, & Danny H. K. Tsang. (2001). Multicast Routing in All-Optical Wavelength-Routed Networks. Journal of Dental Research. 54(4). 850–6. 28 indexed citations
15.
Bensaou, Brahim, et al.. (1996). Broadband Communications. IFIP advances in information and communication technology. 9 indexed citations
16.
Tsang, Danny H. K., et al.. (1995). Efficient estimation of effective bandwidth for call admission control in ATM networks. 3 indexed citations
17.
Tsang, Danny H. K., et al.. (1995). A rate-based switch algorithm with delay adjustment for ABR traffic to achieve max-min fairness. 3 indexed citations
18.
Tsang, Danny H. K., et al.. (1995). Bandwidth Scheduling of Prerecorded VBR Video Sources for ATM Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
19.
Tsang, Danny H. K., et al.. (1994). Bandwidth allocation of multiple QOS classes with maximum delay constraints in ATM environment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2 indexed citations
20.
Ross, Keith W. & Danny H. K. Tsang. (1988). Stochastic knapsack problem. 1988. 632–633. 1 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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