Dexuan Sha
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Transportation top 10%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
Papers in
-
- COVID-19 impact on air quality 3
-
- COVID-19 epidemiological studies 6
- Co-authors
- Chaowei Yang (15 shared papers)Xiaodong Mu (2 shared papers)Yun Li (5 shared papers)Hai Lan (8 shared papers)Qian Liu (8 shared papers)Zhiran Zhang (3 shared papers)Yanfang Su (1 shared paper)Mei Li (1 shared paper)
- Journals
- Big Earth Data (2 papers)ISPRS International Journal of Geo-Information (2 papers)Remote Sensing (2 papers)IEEE Access (2 papers)International Journal of Digital Earth (1 paper)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Dexuan Sha
21 papers receiving 364 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 81
- Transportation 44
- Health Informatics 7
- Media Technology 43
- Global and Planetary Change 88
Countries citing papers authored by Dexuan Sha
This map shows the geographic impact of Dexuan Sha'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 Dexuan Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dexuan Sha more than expected).
Fields of papers citing papers by Dexuan Sha
This network shows the impact of papers produced by Dexuan Sha. 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 Dexuan Sha. The network helps show where Dexuan Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Dexuan Sha, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2019 | 49 | |
| 3 | 2019 | 47 | |
| 4 | 2023 | 36 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2017 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 2 |
About Dexuan Sha
Dexuan Sha is a scholar working on Global and Planetary Change, Modeling and Simulation, Epidemiology, Atmospheric Science and Health, having authored 22 papers that have together received 373 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Data-Driven Disease Surveillance (4 papers), Remote-Sensing Image Classification (4 papers), COVID-19 impact on air quality (3 papers), Health disparities and outcomes (3 papers), Remote Sensing and Land Use (2 papers), Urban Transport and Accessibility (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Modeling and Simulation (81 citations), Transportation (44 citations), Health Informatics (7 citations), Media Technology (43 citations) and Global and Planetary Change (88 citations). Dexuan Sha has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Chaowei Yang, Xiaodong Mu, Yun Li, Hai Lan, Qian Liu, Zhiran Zhang, Yanfang Su, Mei Li, Fei Hu and Yangyang Zhao. Their work appears in journals such as Big Earth Data, ISPRS International Journal of Geo-Information, Remote Sensing, IEEE Access and International Journal of Digital Earth.
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.