Fenghua Ling
Impact in
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- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
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- Hydrological Forecasting Using AI
Papers in
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- Climate variability and models 11
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- Meteorological Phenomena and Simulations 10
- Co-authors
- Jing‐Jia Luo (15 shared papers)Yue Li (5 shared papers)Lei Bai (10 shared papers)Toshio Yamagata (4 shared papers)Wanli Ouyang (6 shared papers)Xiaohui Zhong (2 shared papers)Lin Ouyang (2 shared papers)Zhibin Wang (1 shared paper)
In The Last Decade
Fenghua Ling
15 papers receiving 139 citations
Peers
Comparison fields: 5 of 36
- Atmospheric Science 84
- Environmental Engineering 53
- Global and Planetary Change 69
- Oceanography 37
- Water Science and Technology 8
Countries citing papers authored by Fenghua Ling
This map shows the geographic impact of Fenghua Ling'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 Fenghua Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenghua Ling more than expected).
Fields of papers citing papers by Fenghua Ling
This network shows the impact of papers produced by Fenghua Ling. 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 Fenghua Ling. The network helps show where Fenghua Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Fenghua Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2022 | 17 | |
| 3 | 2023 | 16 | |
| 4 | 2024 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 11 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Fenghua Ling
Fenghua Ling is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Oceanography and Electrical and Electronic Engineering, having authored 21 papers that have together received 144 indexed citations. Recurring topics across this work include Climate variability and models (11 papers), Meteorological Phenomena and Simulations (10 papers), Hydrological Forecasting Using AI (6 papers), Oceanographic and Atmospheric Processes (6 papers), Energy Load and Power Forecasting (2 papers), Reservoir Engineering and Simulation Methods (1 paper), Calibration and Measurement Techniques (1 paper) and Multidisciplinary Science and Engineering Research (1 paper). The work is most often cited by research in Atmospheric Science (84 citations), Environmental Engineering (53 citations), Global and Planetary Change (69 citations), Oceanography (37 citations) and Water Science and Technology (8 citations). Fenghua Ling has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Jing‐Jia Luo, Yue Li, Lei Bai, Toshio Yamagata, Wanli Ouyang, Xiaohui Zhong, Lin Ouyang, Zhibin Wang, Baoxiang Pan and Swadhin K. Behera. Their work appears in journals such as Advances in Atmospheric Sciences, npj Climate and Atmospheric Science, Environmental Research Letters, Geophysical Research Letters and Science China Earth Sciences.
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.