Nan Han
Impact in
- Transportation top 2%
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
-
- Human Mobility and Location-Based Analysis 10
-
- Data Management and Algorithms 7
- Co-authors
- Shaojie QiaoWilliam ZhuDayong ShenXiaoteng WangJianjun LuoChangan YuanJianbin HuangXindong Wu
- Journals
- Engineering Applications of Artificial Intelligence (3 papers)Applied Intelligence (3 papers)Aerospace Science and Technology (2 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Acta Astronautica (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Nan Han
40 papers receiving 775 citations
Peers
Comparison fields: 5 of 110
- Transportation 198
- Building and Construction 142
- Signal Processing 109
- Computational Mathematics 5
- Automotive Engineering 98
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 68 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 39 | |
| 8 | 2021 | 30 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 22 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 10 | |
| 18 | 2019 | 16 | |
| 19 | 2018 | 46 | |
| 20 | A discussion of cultivating undergraduate talents of tourism management based on the CDIO mode. | 2014 | 2 |
About Nan Han
Nan Han is a scholar working on Transportation, Signal Processing, Tourism, Leisure and Hospitality Management, Building and Construction and Health Information Management, having authored 41 papers that have together received 792 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (10 papers), Spacecraft Dynamics and Control (7 papers), Data Management and Algorithms (7 papers), Space Satellite Systems and Control (7 papers), Traffic Prediction and Management Techniques (5 papers), Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (3 papers) and Traditional Chinese Medicine Studies (3 papers). The work is most often cited by research in Transportation (198 citations), Building and Construction (142 citations), Signal Processing (109 citations), Computational Mathematics (5 citations) and Automotive Engineering (98 citations). Nan Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shaojie Qiao, William Zhu, Dayong Shen, Xiaoteng Wang, Jianjun Luo, Changan Yuan, Jianbin Huang, Xindong Wu, Yuanyuan Li and Jiliu Zhou. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Applied Intelligence, Aerospace Science and Technology, IEEE Transactions on Intelligent Transportation Systems and Acta Astronautica.
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.