Mingxia Ji
Impact in
- Global and Planetary Change top 5%
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Atmospheric aerosols and clouds
- Hydrology and Drought Analysis
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols
- Meteorological Phenomena and Simulations
- Atmospheric Ozone and Climate
Papers in
-
- Atmospheric chemistry and aerosols 10
- Atmospheric Ozone and Climate 6
-
- Climate variability and models 8
- Atmospheric aerosols and clouds 8
- Plant Water Relations and Carbon Dynamics 4
- Co-authors
- Jianping HuangYongli HeYongkun XieShanshan WangMengyan ChenDongyou WuXin WangYue Li
- Journals
- Climate Dynamics (3 papers)Advances in Atmospheric Sciences (3 papers)Medicine (3 papers)Frontiers in Psychology (2 papers)Atmospheric Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mingxia Ji
38 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Global and Planetary Change 658
- Atmospheric Science 473
- Earth-Surface Processes 63
- Water Science and Technology 112
- Soil Science 67
Countries citing papers authored by Mingxia Ji
This map shows the geographic impact of Mingxia Ji'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 Mingxia Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Ji more than expected).
Fields of papers citing papers by Mingxia Ji
This network shows the impact of papers produced by Mingxia Ji. 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 Mingxia Ji. The network helps show where Mingxia Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingxia Ji, 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 | 2025 | 4 | |
| 2 | 2024 | 25 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 20 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 40 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 21 | |
| 18 | 2018 | 4 | |
| 19 | 2015 | 27 | |
| 20 | 2014 | 35 |
About Mingxia Ji
Mingxia Ji is a scholar working on Atmospheric Science, Global and Planetary Change, Emergency Medicine, Earth-Surface Processes and Internal Medicine, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (10 papers), Climate variability and models (8 papers), Atmospheric aerosols and clouds (8 papers), Atmospheric Ozone and Climate (6 papers), Sepsis Diagnosis and Treatment (6 papers), Forgiveness and Related Behaviors (4 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Global and Planetary Change (658 citations), Atmospheric Science (473 citations), Earth-Surface Processes (63 citations), Water Science and Technology (112 citations) and Soil Science (67 citations). Mingxia Ji has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianping Huang, Yongli He, Yongkun Xie, Shanshan Wang, Mengyan Chen, Dongyou Wu, Xin Wang, Yue Li, Jun Liu and Tianshuang Wang. Their work appears in journals such as Climate Dynamics, Advances in Atmospheric Sciences, Medicine, Frontiers in Psychology and Atmospheric 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.