Han Su
Impact in
- Transportation top 1%
- Human Mobility and Location-Based Analysis
- Signal Processing top 1%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
-
- Data Management and Algorithms 29
- Time Series Analysis and Forecasting 7
-
- Geographic Information Systems Studies 17
- Co-authors
- Xiaofang Zhou (20 shared papers)Kai Zheng (26 shared papers)Kai Zheng (15 shared papers)Bolong Zheng (18 shared papers)Jiamin Huang (6 shared papers)Haozhou Wang (6 shared papers)Yan Zhao (9 shared papers)Shuncheng Liu (17 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (4 papers)Proceedings of the VLDB Endowment (3 papers)The VLDB Journal (2 papers)Lecture notes in computer science (10 papers)ACM Transactions on Intelligent Systems and Technology (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Han Su
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Transportation 399
- Signal Processing 607
- Computer Science Applications 276
- Geography, Planning and Development 185
- Building and Construction 180
Countries citing papers authored by Han Su
This map shows the geographic impact of Han Su'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 Han Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Su more than expected).
Fields of papers citing papers by Han Su
This network shows the impact of papers produced by Han Su. 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 Han Su. The network helps show where Han Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 131 | |
| 2 | 2015 | 94 | |
| 3 | 2013 | 87 | |
| 4 | An effectiveness study on trajectory similarity measures | 2013 | 80 |
| 5 | 2019 | 80 | |
| 6 | 2014 | 68 | |
| 7 | 2020 | 68 | |
| 8 | 2019 | 63 | |
| 9 | 2016 | 61 | |
| 10 | 2017 | 59 | |
| 11 | 2019 | 54 | |
| 12 | 2014 | 51 | |
| 13 | 2017 | 45 | |
| 14 | 2015 | 38 | |
| 15 | 2014 | 31 | |
| 16 | 2018 | 31 | |
| 17 | 2017 | 30 | |
| 18 | 2014 | 26 | |
| 19 | 2017 | 23 | |
| 20 | 2017 | 21 |
About Han Su
Han Su is a scholar working on Signal Processing, Geography, Planning and Development, Artificial Intelligence, Computer Networks and Communications and Transportation, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (29 papers), Geographic Information Systems Studies (17 papers), Human Mobility and Location-Based Analysis (14 papers), Autonomous Vehicle Technology and Safety (13 papers), Traffic control and management (8 papers), Time Series Analysis and Forecasting (7 papers), Advanced Database Systems and Queries (7 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Transportation (399 citations), Signal Processing (607 citations), Computer Science Applications (276 citations), Geography, Planning and Development (185 citations) and Building and Construction (180 citations). Han Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiaofang Zhou, Kai Zheng, Kai Zheng, Bolong Zheng, Jiamin Huang, Haozhou Wang, Yan Zhao, Shuncheng Liu, Guohui Li and Shuo Shang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, The VLDB Journal, Lecture notes in computer science and ACM Transactions on Intelligent Systems and Technology.
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.