Zhiming Hu

442 total citations
15 papers, 338 citations indexed

About

Zhiming Hu is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Zhiming Hu has authored 15 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 8 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Zhiming Hu's work include Cloud Computing and Resource Management (8 papers), Software-Defined Networks and 5G (6 papers) and Distributed and Parallel Computing Systems (6 papers). Zhiming Hu is often cited by papers focused on Cloud Computing and Resource Management (8 papers), Software-Defined Networks and 5G (6 papers) and Distributed and Parallel Computing Systems (6 papers). Zhiming Hu collaborates with scholars based in Singapore, Canada and China. Zhiming Hu's co-authors include Jun Luo, Baochun Li, Yan Qiao, James Tu, Kai Han, Rick Siow Mong Goh, Chen Chen, Iqbal Mohomed, Teng Wang and Zheng Qin and has published in prestigious journals such as Sensors, IEEE Transactions on Parallel and Distributed Systems and Computer Communications.

In The Last Decade

Zhiming Hu

15 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiming Hu Singapore 11 292 202 67 56 24 15 338
Dong Xiang China 7 413 1.4× 186 0.9× 60 0.9× 103 1.8× 21 0.9× 8 455
Alexandru Agache Romania 5 430 1.5× 307 1.5× 35 0.5× 63 1.1× 19 0.8× 9 464
Timothy Zhu United States 10 427 1.5× 374 1.9× 50 0.7× 28 0.5× 31 1.3× 20 472
Petr Lapukhov Israel 8 258 0.9× 52 0.3× 48 0.7× 84 1.5× 21 0.9× 20 302
Jorge M. Cortés-Mendoza Russia 8 145 0.5× 165 0.8× 133 2.0× 31 0.6× 43 1.8× 31 280
Jordà Polo Spain 8 300 1.0× 300 1.5× 60 0.9× 13 0.2× 59 2.5× 18 377
Akshay Narayan Singapore 10 420 1.4× 375 1.9× 58 0.9× 70 1.3× 31 1.3× 15 508
Mostapha Zbakh Morocco 7 169 0.6× 163 0.8× 38 0.6× 19 0.3× 13 0.5× 29 218
Michael Le United States 8 276 0.9× 144 0.7× 61 0.9× 115 2.1× 18 0.8× 19 334

Countries citing papers authored by Zhiming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhiming Hu. 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 Zhiming Hu. The network helps show where Zhiming Hu may publish in the future.

Co-authorship network of co-authors of Zhiming Hu

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

All Works

15 of 15 papers shown
1.
Li, Jiahao, et al.. (2022). Fruchterman–Reingold Hexagon Empowered Node Deployment in Wireless Sensor Network Application. Sensors. 22(14). 5179–5179. 1 indexed citations
2.
Hu, Zhiming, Baochun Li, Zheng Qin, & Rick Siow Mong Goh. (2020). Low Latency Big Data Processing without Prior Information. IEEE Transactions on Cloud Computing. 9(4). 1521–1534. 4 indexed citations
3.
Hu, Zhiming, James Tu, & Baochun Li. (2019). Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning. 2037–2046. 42 indexed citations
4.
Hu, Zhiming, et al.. (2019). DeepHome. 13–18. 15 indexed citations
5.
Hu, Zhiming, et al.. (2018). FlowTime: Dynamic Scheduling of Deadline-Aware Workflows and Ad-Hoc Jobs. 929–938. 12 indexed citations
6.
Hu, Zhiming, et al.. (2017). Job Scheduling without Prior Information in Big Data Processing Systems. 572–582. 15 indexed citations
7.
Hu, Zhiming, Baochun Li, & Jun Luo. (2017). Time- and Cost- Efficient Task Scheduling across Geo-Distributed Data Centers. IEEE Transactions on Parallel and Distributed Systems. 29(3). 705–718. 57 indexed citations
8.
Hu, Zhiming, Baochun Li, & Jun Luo. (2016). Flutter: Scheduling tasks closer to data across geo-distributed datacenters. 1–9. 59 indexed citations
9.
Hu, Zhiming, Yan Qiao, & Jun Luo. (2015). ATME: Accurate Traffic Matrix Estimation in Both Public and Private Datacenter Networks. IEEE Transactions on Cloud Computing. 6(1). 60–73. 21 indexed citations
10.
Hu, Zhiming & Jun Luo. (2015). Cracking network monitoring in DCNs with SDN. 199–207. 39 indexed citations
11.
Han, Kai, et al.. (2015). RUSH: Routing and scheduling for hybrid data center networks. 36 indexed citations
12.
Hu, Zhiming, Yan Qiao, & Jun Luo. (2014). Coarse-grained traffic matrix estimation for data center networks. Computer Communications. 56. 25–34. 20 indexed citations
13.
Hu, Zhiming, Yan Qiao, Jun Luo, Peng Sun, & Yonggang Wen. (2014). CREATE: Correlation enhanced traffic matrix estimation in Data Center Networks. 1–9. 5 indexed citations
14.
Qiao, Yan, Zhiming Hu, & Jun Luo. (2013). Efficient traffic matrix estimation for data center networks. 1–9. 11 indexed citations
15.
Hu, Zhiming, Yongle Xie, & Tianyi Li. (2009). VLSI Analog Circuit Fault Diagnostic Correlation Coefficient Analytical Method. 19. 1–4. 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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