Zhongyang Han
Impact in
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
- Co-authors
- Jun ZhaoWei WangHenry LeungKing MaLinqing WangWitold PedryczYing LiuQuanli Liu
In The Last Decade
Zhongyang Han
33 papers receiving 849 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Signal Processing 101
- Artificial Intelligence 270
- Management Science and Operations Research 104
- Computational Theory and Mathematics 124
- Control and Systems Engineering 163
Countries citing papers authored by Zhongyang Han
This map shows the geographic impact of Zhongyang 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 Zhongyang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongyang Han more than expected).
Fields of papers citing papers by Zhongyang Han
This network shows the impact of papers produced by Zhongyang 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 Zhongyang Han. The network helps show where Zhongyang Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhongyang 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 9 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 3 | |
| 17 | A Review of Deep Learning Models for Time Series Prediction Hit paper breakdown → | 2019 | 314 |
| 18 | 2016 | 31 | |
| 19 | 2016 | 28 | |
| 20 | Hybrid use of steel and carbon-fiber reinforced concrete for monitoring of crack behavior | 2012 | 8 |
About Zhongyang Han
Zhongyang Han is a scholar working on Nuclear Energy and Engineering, General Energy, Computational Theory and Mathematics, Aging and Control and Systems Engineering, having authored 35 papers that have together received 867 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Rough Sets and Fuzzy Logic (7 papers), Process Optimization and Integration (5 papers), Integrated Energy Systems Optimization (4 papers), Fault Detection and Control Systems (4 papers), Energy Load and Power Forecasting (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Signal Processing (101 citations), Artificial Intelligence (270 citations), Management Science and Operations Research (104 citations), Computational Theory and Mathematics (124 citations) and Control and Systems Engineering (163 citations). Zhongyang Han has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Jun Zhao, Wei Wang, Henry Leung, King Ma, Linqing Wang, Witold Pedrycz, Ying Liu, Wei Wang, Quanli Liu and Wei Wang. Their work appears in journals such as Control Engineering Practice, IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Cybernetics, Information Sciences and IEEE Transactions on Industrial Electronics.
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.