Liangzhe Han
- Transportation top 2%
- Human Mobility and Location-Based Analysis 11
- Transportation Planning and Optimization 5
- Building and Construction top 2%
- Traffic Prediction and Management Techniques 12
- Signal Processing top 5%
- Time Series Analysis and Forecasting 2
- Data Management and Algorithms 2
-
- Evacuation and Crowd Dynamics 2
-
- Geographic Information Systems Studies 1
-
- Traffic control and management 1
- Co-authors
- Leilei SunBowen DuWeifeng LvXiao HuYanjie FuHui XiongYisheng LvLe Yu
- Journals
- IEEE Transactions on Intelligent Transportation Systems (4 papers)Neurocomputing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liangzhe Han
15 papers receiving 525 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Transportation 219
- Building and Construction 349
- Signal Processing 104
- Safety, Risk, Reliability and Quality 62
- Biological Psychiatry 15
Countries citing papers authored by Liangzhe Han
This map shows the geographic impact of Liangzhe 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 Liangzhe Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangzhe Han more than expected).
Fields of papers citing papers by Liangzhe Han
This network shows the impact of papers produced by Liangzhe 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 Liangzhe Han. The network helps show where Liangzhe Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liangzhe 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 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 65 | |
| 8 | 2023 | 36 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 58 | |
| 14 | 2021 | 14 | |
| 15 | Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecastingbreakdown → | 2021 | 164 |
| 16 | 2020 | 144 |
About Liangzhe Han
Liangzhe Han is a scholar working on Transportation, Building and Construction and Signal Processing, having authored 16 papers that have together received 539 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (12 papers), Human Mobility and Location-Based Analysis (11 papers), Transportation Planning and Optimization (5 papers), Time Series Analysis and Forecasting (2 papers), Data Management and Algorithms (2 papers), Evacuation and Crowd Dynamics (2 papers), Geographic Information Systems Studies (1 paper) and Traffic control and management (1 paper). The work is most often cited by research in Transportation (219 citations), Building and Construction (349 citations) and Signal Processing (104 citations). Liangzhe Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Leilei Sun, Bowen Du, Weifeng Lv, Xiao Hu, Yanjie Fu, Hui Xiong, Yisheng Lv, Le Yu, Yi Xu and Tongyu Zhu. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.
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.