Nan Han
Impact in
- Transportation top 2%
- Human Mobility and Location-Based Analysis
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Human Mobility and Location-Based Analysis 14
-
- Data Management and Algorithms 10
- Co-authors
- Shaojie Qiao (37 shared papers)William Zhu (2 shared papers)Xiaoteng Wang (1 shared paper)Dayong Shen (1 shared paper)Jianjun Luo (9 shared papers)Yuanyuan Li (6 shared papers)Xi Xiong (6 shared papers)Xindong Wu (5 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (3 papers)Applied Intelligence (3 papers)Engineering Applications of Artificial Intelligence (3 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)Aerospace Science and Technology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Nan Han
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 135
- Transportation 273
- Signal Processing 149
- Building and Construction 175
- Computational Mathematics 6
- Automotive Engineering 113
Countries citing papers authored by Nan Han
This map shows the geographic impact of Nan 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 Nan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Han more than expected).
Fields of papers citing papers by Nan Han
This network shows the impact of papers produced by Nan 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 Nan Han. The network helps show where Nan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan 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
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 249 | |
| 2 | 2023 | 80 | |
| 3 | 2017 | 62 | |
| 4 | 2017 | 55 | |
| 5 | 2014 | 54 | |
| 6 | 2018 | 47 | |
| 7 | 2022 | 41 | |
| 8 | 2019 | 34 | |
| 9 | 2018 | 34 | |
| 10 | 2021 | 33 | |
| 11 | 2017 | 29 | |
| 12 | 2021 | 28 | |
| 13 | 2020 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 21 | |
| 18 | 2019 | 21 | |
| 19 | 2020 | 21 | |
| 20 | 2021 | 20 |
About Nan Han
Nan Han is a scholar working on Transportation, Signal Processing, Statistical and Nonlinear Physics, Artificial Intelligence and Building and Construction, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (14 papers), Data Management and Algorithms (10 papers), Complex Network Analysis Techniques (8 papers), Space Satellite Systems and Control (7 papers), Spacecraft Dynamics and Control (7 papers), Traffic Prediction and Management Techniques (6 papers), Imbalanced Data Classification Techniques (5 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Transportation (273 citations), Signal Processing (149 citations), Building and Construction (175 citations), Computational Mathematics (6 citations) and Automotive Engineering (113 citations). Nan Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shaojie Qiao, William Zhu, Xiaoteng Wang, Dayong Shen, Jianjun Luo, Yuanyuan Li, Xi Xiong, Xindong Wu, Rong-Hua Li and Changan Yuan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Applied Intelligence, Engineering Applications of Artificial Intelligence, ACM Transactions on Intelligent Systems and Technology and Aerospace Science 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.