Jin Ba
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Atmospheric chemistry and aerosols
- Tropical and Extratropical Cyclones Research
- Geology and Paleoclimatology Research
- Oceanography top 5%
- Oceanographic and Atmospheric Processes
Papers in
-
- Geology and Paleoclimatology Research 3
- Meteorological Phenomena and Simulations 2
- Atmospheric chemistry and aerosols 1
- Tropical and Extratropical Cyclones Research 1
-
- Climate variability and models 6
- Co-authors
- Noel Keenlyside (3 shared papers)Jie Tang (1 shared paper)Shufeng Wang (1 shared paper)Xiaobin Xu (1 shared paper)Wonsun Park (3 shared papers)Hui Ding (2 shared papers)Mojib Latif (2 shared papers)Katja Lohmann (2 shared papers)
- Journals
- Climate Dynamics (2 papers)Journal of Meteorological Research (1 paper)Wiley Interdisciplinary Reviews Climate Change (1 paper)Ocean science (1 paper)Advanced materials research (1 paper)
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Jin Ba
8 papers receiving 351 citations
Peers
Comparison fields: 5 of 42
- Atmospheric Science 286
- Oceanography 170
- Global and Planetary Change 287
- Geochemistry and Petrology 21
- Health, Toxicology and Mutagenesis 31
Countries citing papers authored by Jin Ba
This map shows the geographic impact of Jin Ba'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 Jin Ba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ba more than expected).
Fields of papers citing papers by Jin Ba
This network shows the impact of papers produced by Jin Ba. 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 Jin Ba. The network helps show where Jin Ba may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Ba, 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 | 2014 | 130 | |
| 2 | 2010 | 80 | |
| 3 | 2017 | 58 | |
| 4 | 2013 | 32 | |
| 5 | 2010 | 31 | |
| 6 | 2014 | 20 | |
| 7 | 2014 | 4 | |
| 8 | Metal Magnetic Memory Signal Feature of Fatigue Cracking Propagation | 2014 | 2 |
About Jin Ba
Jin Ba is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Geochemistry and Petrology and Environmental Engineering, having authored 8 papers that have together received 357 indexed citations. Recurring topics across this work include Climate variability and models (6 papers), Oceanographic and Atmospheric Processes (4 papers), Geology and Paleoclimatology Research (3 papers), Meteorological Phenomena and Simulations (2 papers), Atmospheric chemistry and aerosols (1 paper), Tropical and Extratropical Cyclones Research (1 paper), Groundwater and Isotope Geochemistry (1 paper) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Atmospheric Science (286 citations), Oceanography (170 citations), Global and Planetary Change (287 citations), Geochemistry and Petrology (21 citations) and Health, Toxicology and Mutagenesis (31 citations). Jin Ba has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Noel Keenlyside, Jie Tang, Shufeng Wang, Xiaobin Xu, Wonsun Park, Hui Ding, Mojib Latif, Katja Lohmann, Matthew Menary and Odd Helge Otterå. Their work appears in journals such as Climate Dynamics, Journal of Meteorological Research, Wiley Interdisciplinary Reviews Climate Change, Ocean science and Advanced materials research.
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.