Xingang Dai
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Oceanography top 5%
- Water Science and Technology top 10%
- Environmental Engineering
- Topics
- Climate variability and models (18 papers)Meteorological Phenomena and Simulations (11 papers)Environmental and Agricultural Sciences (7 papers)
- Partner nations
- ChinaSpainNetherlands
In The Last Decade
Xingang Dai
29 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Global and Planetary Change 676
- Atmospheric Science 547
- Oceanography 175
- Water Science and Technology 75
- Environmental Engineering 63
Countries citing papers authored by Xingang Dai
This map shows the geographic impact of Xingang 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 Xingang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingang Dai more than expected).
Fields of papers citing papers by Xingang Dai
This network shows the impact of papers produced by Xingang 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 Xingang Dai. The network helps show where Xingang Dai may publish in the future.
Co-authorship network of co-authors of Xingang Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Xingang Dai. A scholar is included among the top collaborators of Xingang 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 Xingang Dai. Xingang 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 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | Decadal modulation of global surface temperature by internal climate variabilitybreakdown → | 402 |
| 8 | 33 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | Validation of the Relationship between Precipitable Water and Surface Vapor Pressure by Means of Reanalysis Data | 1 |
| 12 | 35 | |
| 13 | 7 | |
| 14 | Appraising long-term regional climate policies in Inner Mongolia, the Tisza floodplain and the Guadiana river basin | 1 |
| 15 | 35 | |
| 16 | 29 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | Analyses on Interdecadal Change Characteristics of Global Winter and Summer Sea Surface Pressure Field and 500 hPa Height Field in Recent Twenty Years | 6 |
About Xingang Dai
Xingang Dai is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology, having authored 31 papers that have together received 815 indexed citations. Recurring topics across this work include Climate variability and models (18 papers), Meteorological Phenomena and Simulations (11 papers) and Environmental and Agricultural Sciences (7 papers). The work is most often cited by research in Global and Planetary Change (676 citations), Atmospheric Science (547 citations) and Oceanography (175 citations). Xingang Dai has collaborated with scholars based in China, Spain and Netherlands. Frequent co-authors include Shang‐Ping Xie, Aiguo Dai, John C. Fyfe, Ping Wang, Chou Jifan, Ping Wang, Zhuguo Ma, Weijing Li, Yongxiang Han and Xiaomin Fang. Their work appears in journals such as Scientific Reports, Nature Climate Change and Journal of Arid Environments.
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.