Hanshang Li
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
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- Mobile Crowdsensing and Crowdsourcing 9
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- Human Mobility and Location-Based Analysis 8
- Co-authors
- Yu Wang (9 shared papers)Ting Li (3 shared papers)Fan Li (5 shared papers)Lijuan Cao (3 shared papers)Taeho Jung (2 shared papers)Weichao Wang (2 shared papers)Yu Cheng (1 shared paper)Hong Jiang (1 shared paper)
- Journals
- Personal and Ubiquitous Computing (1 paper)IEEE Transactions on Network Science and Engineering (1 paper)IEEE Transactions on Vehicular Technology (1 paper)IEEE Transactions on Mobile Computing (1 paper)International Journal of Distributed Sensor Networks (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Hanshang Li
12 papers receiving 353 citations
Peers
Comparison fields: 5 of 35
- Computer Science Applications 254
- Transportation 144
- Computer Networks and Communications 108
- Management Science and Operations Research 44
- Artificial Intelligence 92
Countries citing papers authored by Hanshang Li
This map shows the geographic impact of Hanshang Li'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 Hanshang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanshang Li more than expected).
Fields of papers citing papers by Hanshang Li
This network shows the impact of papers produced by Hanshang Li. 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 Hanshang Li. The network helps show where Hanshang Li may publish in the future.
Co-authors
The 19 scholars most cited alongside Hanshang Li, 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 | 2015 | 95 | |
| 2 | 2018 | 64 | |
| 3 | 2017 | 40 | |
| 4 | 2018 | 38 | |
| 5 | 2017 | 31 | |
| 6 | 2016 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2014 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2016 | 6 |
About Hanshang Li
Hanshang Li is a scholar working on Computer Science Applications, Transportation, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (9 papers), Human Mobility and Location-Based Analysis (8 papers), Indoor and Outdoor Localization Technologies (4 papers), Privacy-Preserving Technologies in Data (3 papers), Energy Harvesting in Wireless Networks (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), UAV Applications and Optimization (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Computer Science Applications (254 citations), Transportation (144 citations), Computer Networks and Communications (108 citations), Management Science and Operations Research (44 citations) and Artificial Intelligence (92 citations). Hanshang Li has collaborated with scholars based in United States and China. Frequent co-authors include Yu Wang, Ting Li, Fan Li, Lijuan Cao, Taeho Jung, Weichao Wang, Yu Cheng, Hong Jiang, Yu Wang and Ling Wang. Their work appears in journals such as Personal and Ubiquitous Computing, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing and International Journal of Distributed Sensor Networks.
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.