Hanhan Deng
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
-
- Human Mobility and Location-Based Analysis 3
- Transportation Planning and Optimization 1
-
- Traffic Prediction and Management Techniques 3
- Co-authors
- Ling Zhao (5 shared papers)Haifeng Li (2 shared papers)Jiawei Zhu (2 shared papers)Chao Tao (2 shared papers)Qiongjie Wang (1 shared paper)Xing Han (1 shared paper)Tao Lin (1 shared paper)Pu Wang (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)Symmetry (1 paper)IEEE Access (1 paper)International Journal of Computing Science and Mathematics (1 paper)
- Partner nations
- China
In The Last Decade
Hanhan Deng
4 papers receiving 278 citations
Hanhan Deng's Hit Papers
Peers
Comparison fields: 5 of 39
- Transportation 140
- Building and Construction 212
- Signal Processing 42
- Control and Systems Engineering 85
- Artificial Intelligence 67
Countries citing papers authored by Hanhan Deng
This map shows the geographic impact of Hanhan Deng'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 Hanhan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanhan Deng more than expected).
Fields of papers citing papers by Hanhan Deng
This network shows the impact of papers produced by Hanhan Deng. 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 Hanhan Deng. The network helps show where Hanhan Deng may publish in the future.
Co-authors
The 17 scholars most cited alongside Hanhan Deng, 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 | 2021 | 142 | |
| 2 | KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting Hit paper breakdown → | 2022 | 124 |
| 3 | 2020 | 13 | |
| 4 | 2020 | 1 | |
| 5 | 2018 | 0 | |
| 6 | 2018 | 0 |
About Hanhan Deng
Hanhan Deng is a scholar working on Transportation, Building and Construction, Control and Systems Engineering, Information Systems and Statistical and Nonlinear Physics, having authored 6 papers that have together received 280 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (3 papers), Human Mobility and Location-Based Analysis (3 papers), Evaluation Methods in Various Fields (1 paper), Data Management and Algorithms (1 paper), Advanced Graph Neural Networks (1 paper), Transportation Planning and Optimization (1 paper), Traffic control and management (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Transportation (140 citations), Building and Construction (212 citations), Signal Processing (42 citations), Control and Systems Engineering (85 citations) and Artificial Intelligence (67 citations). Hanhan Deng has collaborated with scholars based in China. Frequent co-authors include Ling Zhao, Haifeng Li, Jiawei Zhu, Chao Tao, Qiongjie Wang, Xing Han, Tao Lin, Pu Wang, Hai Sun and Yun Chen. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Symmetry, IEEE Access and International Journal of Computing Science and Mathematics.
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.