Chunli Dai
- Oceanography top 5%
- Geophysics top 10%
- Atmospheric Science top 10%
- Management, Monitoring, Policy and Law top 10%
- Molecular Biology
- Co-authors
- Ian M. HowatC. K. ShumB. D. TapleyLei WangFrederik J. SimonsErik HusbyEric LarourKun Shang
- Topics
- Geophysics and Gravity Measurements (12 papers)Cryospheric studies and observations (9 papers)Landslides and related hazards (7 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaRemote Sensing of Environment
- Partner nations
- United StatesChinaGermany
In The Last Decade
Chunli Dai
32 papers receiving 417 citations
Peers
Comparison fields: 5 of 53
- Oceanography 164
- Geophysics 126
- Atmospheric Science 109
- Management, Monitoring, Policy and Law 82
- Molecular Biology 82
Countries citing papers authored by Chunli Dai
This map shows the geographic impact of Chunli Dai'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 Chunli Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Dai more than expected).
Fields of papers citing papers by Chunli Dai
This network shows the impact of papers produced by Chunli Dai. 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 Chunli Dai. The network helps show where Chunli Dai may publish in the future.
Co-authorship network of co-authors of Chunli Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Chunli Dai. A scholar is included among the top collaborators of Chunli Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunli Dai. Chunli Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 32 | |
| 11 | Source Parameters Inversion for Recent Large Undersea Earthquakes from GRACE Data | 1 |
| 12 | Improved Source Parameter Constraints for Recent Large Undersea Earthquakes from High-degree GRACE Gravity and Gravity Gradient Change Measurements | 1 |
| 13 | 24 | |
| 14 | Lunar Topography Model Determined by Integrating Laser Altimetry from Multiple Orbiters | 2 |
| 15 | 77 | |
| 16 | 8 | |
| 17 | 0 | |
| 18 | 14 | |
| 19 | 5 | |
| 20 | [Current status and strategy of research on epitope-based vaccine]. | 1 |
About Chunli Dai
Chunli Dai is a scholar working on Oceanography, Geophysics and Atmospheric Science, having authored 34 papers that have together received 429 indexed citations. Recurring topics across this work include Geophysics and Gravity Measurements (12 papers), Cryospheric studies and observations (9 papers) and Landslides and related hazards (7 papers). The work is most often cited by research in Oceanography (164 citations), Geophysics (126 citations) and Management, Monitoring, Policy and Law (82 citations). Chunli Dai has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ian M. Howat, C. K. Shum, B. D. Tapley, Lei Wang, Frederik J. Simons, Erik Husby, Eric Larour, Kun Shang, Junyi Guo and Michael Durand. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.
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.