Zhenhua Han
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- IoT and Edge/Fog Computing 16
- Caching and Content Delivery 8
- Age of Information Optimization 8
- Optimization and Search Problems 5
- Advanced Data Storage Technologies 5
- Information Systems top 2%
- Cloud Computing and Resource Management 16
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 4
- Artificial Intelligence top 10%
- Stochastic Gradient Optimization Techniques 5
- Co-authors
- Haisheng TanXiang‐Yang LiFrancis C. M. LauShaofeng H.-C. JiangYupeng LiBojie LiRui WangQuanlu Zhang
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
In The Last Decade
Zhenhua Han
38 papers receiving 791 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 677
- Information Systems 397
- Computer Vision and Pattern Recognition 129
- Hardware and Architecture 33
- Artificial Intelligence 113
Countries citing papers authored by Zhenhua Han
This map shows the geographic impact of Zhenhua Han'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 Zhenhua Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenhua Han more than expected).
Fields of papers citing papers by Zhenhua Han
This network shows the impact of papers produced by Zhenhua Han. 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 Zhenhua Han. The network helps show where Zhenhua Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenhua Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 10 | |
| 12 | Retiarii: A Deep Learning Exploratory-Training Framework | 2020 | 7 |
| 13 | 2019 | 67 | |
| 14 | 2019 | 86 | |
| 15 | 2018 | 9 | |
| 16 | Online job dispatching and scheduling in edge-cloudsbreakdown → | 2017 | 218 |
| 17 | 2017 | 3 | |
| 18 | 2016 | 1 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 0 |
About Zhenhua Han
Zhenhua Han is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 44 papers that have together received 803 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (16 papers), Cloud Computing and Resource Management (16 papers), Caching and Content Delivery (8 papers), Age of Information Optimization (8 papers), Optimization and Search Problems (5 papers), Advanced Data Storage Technologies (5 papers), Stochastic Gradient Optimization Techniques (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (677 citations), Information Systems (397 citations) and Computer Vision and Pattern Recognition (129 citations). Zhenhua Han has collaborated with scholars based in China, Hong Kong and Israel. Frequent co-authors include Haisheng Tan, Xiang‐Yang Li, Francis C. M. Lau, Shaofeng H.-C. Jiang, Francis C. M. Lau, Yupeng Li, Bojie Li, Rui Wang, Quanlu Zhang and Guihai Chen. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM Transactions on Sensor Networks, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Image Processing and NDT & E International.
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.