Xiaolong Jia
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Oceanography top 5%
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Topics
- Climate variability and models (29 papers)Meteorological Phenomena and Simulations (22 papers)Oceanographic and Atmospheric Processes (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of ClimateBulletin of the American Meteorological Society
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaolong Jia
40 papers receiving 852 citations
Peers
Comparison fields: 5 of 74
- Global and Planetary Change 723
- Atmospheric Science 687
- Oceanography 273
- Renewable Energy, Sustainability and the Environment 47
- Electrical and Electronic Engineering 31
Countries citing papers authored by Xiaolong Jia
This map shows the geographic impact of Xiaolong Jia'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 Xiaolong Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Jia more than expected).
Fields of papers citing papers by Xiaolong Jia
This network shows the impact of papers produced by Xiaolong Jia. 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 Xiaolong Jia. The network helps show where Xiaolong Jia may publish in the future.
Co-authorship network of co-authors of Xiaolong Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Jia. A scholar is included among the top collaborators of Xiaolong Jia 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 Xiaolong Jia. Xiaolong Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | 20 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 24 | |
| 8 | 48 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | FRONTIER ISSUES IN CURRENT MJO STUDIES | 2 |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 92 | |
| 15 | IMPACTS OF CUMULUS PARAMETERIZATION AND RESOLUTIONS ON THE MJO SIMULATION | 2 |
| 16 | 80 | |
| 17 | Numerical Simulation and Comparison Study of the Atmospheric Intraseasonal Oscillation | 2 |
| 18 | Protection of Genetic Patent——A Discussion of Gene Providers' Sharing the Benefits Accruing from the Use of Genetic Patent | 1 |
| 19 | Analyses on General Circulation Character of Precipitation Anomaly in Northeast China Flood Season | 6 |
| 20 | 21 |
About Xiaolong Jia
Xiaolong Jia is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 41 papers that have together received 864 indexed citations. Recurring topics across this work include Climate variability and models (29 papers), Meteorological Phenomena and Simulations (22 papers) and Oceanographic and Atmospheric Processes (11 papers). The work is most often cited by research in Atmospheric Science (687 citations), Global and Planetary Change (723 citations) and Oceanography (273 citations). Xiaolong Jia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chongyin Li, Song Yang, Jian Ling, Wen Zhou, Chidong Zhang, Lijuan Chen, Fumin Ren, Ting Ding, Weihua Cao and Suping Nie. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Climate and Bulletin of the American Meteorological Society.
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.