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 30
- Time Series Analysis and Forecasting 7
-
- Geographic Information Systems Studies 17
- Co-authors
- Xiaofang Zhou (20 shared papers)Kai (Kevin) Zheng (28 shared papers)Kai Zheng (15 shared papers)Bolong Zheng (18 shared papers)Jiamin Moran Huang (6 shared papers)Haozhou Wang (6 shared papers)Yan Li Zhao (9 shared papers)Shuncheng Liu (19 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 (12 papers)Frontiers of Computer Science (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Han Su
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Transportation 404
- Signal Processing 628
- Computer Science Applications 282
- Geography, Planning and Development 187
- Building and Construction 179
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2015 | 93 | |
| 3 | 2013 | 88 | |
| 4 | 2019 | 88 | |
| 5 | An effectiveness study on trajectory similarity measures | 2013 | 83 |
| 6 | 2020 | 69 | |
| 7 | 2014 | 69 | |
| 8 | 2019 | 66 | |
| 9 | 2016 | 60 | |
| 10 | 2017 | 59 | |
| 11 | 2019 | 56 | |
| 12 | 2014 | 50 | |
| 13 | 2017 | 45 | |
| 14 | 2015 | 39 | |
| 15 | 2017 | 33 | |
| 16 | 2018 | 32 | |
| 17 | 2014 | 31 | |
| 18 | 2023 | 28 | |
| 19 | 2014 | 27 | |
| 20 | 2017 | 23 |
About Han Su
Han Su is a scholar working on Signal Processing, Geography, Planning and Development, Transportation, Automotive Engineering and Computer Science Applications, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (30 papers), Geographic Information Systems Studies (17 papers), Autonomous Vehicle Technology and Safety (15 papers), Human Mobility and Location-Based Analysis (14 papers), Traffic control and management (9 papers), Time Series Analysis and Forecasting (7 papers), Advanced Database Systems and Queries (7 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Transportation (404 citations), Signal Processing (628 citations), Computer Science Applications (282 citations), Geography, Planning and Development (187 citations) and Building and Construction (179 citations). Han Su has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiaofang Zhou, Kai (Kevin) Zheng, Kai Zheng, Bolong Zheng, Jiamin Moran Huang, Haozhou Wang, Yan Li 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 Frontiers of Computer Science.
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.