Ling Yang
Impact in
- Water Science and Technology top 2%
- Water Quality Monitoring Technologies
- Water Quality and Pollution Assessment
- Hydrology and Watershed Management Studies
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
Papers in
-
- Meteorological Phenomena and Simulations 17
- Precipitation Measurement and Analysis 13
-
- Soil Moisture and Remote Sensing 9
- Hydrological Forecasting Using AI 4
- Co-authors
- Yingyi Chen (10 shared papers)Daoliang Li (7 shared papers)Yeqi Liu (6 shared papers)Lihua Song (2 shared papers)Huihui Yu (7 shared papers)Xiaomin Fang (2 shared papers)Qiang Li (2 shared papers)Yonggui Wang (1 shared paper)
- Journals
- Earth and Space Science (3 papers)Remote Sensing (3 papers)Sensors (3 papers)Applied Sciences (2 papers)Journal of Atmospheric and Oceanic Technology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Ling Yang
41 papers receiving 779 citations
Ling Yang's Hit Papers
Peers
Comparison fields: 5 of 91
- Water Science and Technology 437
- Environmental Engineering 329
- Industrial and Manufacturing Engineering 121
- Nature and Landscape Conservation 62
- Atmospheric Science 68
Countries citing papers authored by Ling Yang
This map shows the geographic impact of Ling Yang'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 Ling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yang more than expected).
Fields of papers citing papers by Ling Yang
This network shows the impact of papers produced by Ling Yang. 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 Ling Yang. The network helps show where Ling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Yang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review of the Artificial Neural Network Models for Water Quality Prediction Hit paper breakdown → | 2020 | 319 |
| 2 | 2020 | 186 | |
| 3 | 2018 | 51 | |
| 4 | 2022 | 41 | |
| 5 | 2020 | 34 | |
| 6 | 2023 | 19 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2009 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Ling Yang
Ling Yang is a scholar working on Atmospheric Science, Environmental Engineering, Water Science and Technology, Global and Planetary Change and Nature and Landscape Conservation, having authored 49 papers that have together received 799 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (17 papers), Precipitation Measurement and Analysis (13 papers), Water Quality Monitoring Technologies (12 papers), Soil Moisture and Remote Sensing (9 papers), Atmospheric aerosols and clouds (5 papers), Fish Ecology and Management Studies (5 papers), Water Quality Monitoring and Analysis (5 papers) and Hydrological Forecasting Using AI (4 papers). The work is most often cited by research in Water Science and Technology (437 citations), Environmental Engineering (329 citations), Industrial and Manufacturing Engineering (121 citations), Nature and Landscape Conservation (62 citations) and Atmospheric Science (68 citations). Ling Yang has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Yingyi Chen, Daoliang Li, Yeqi Liu, Lihua Song, Huihui Yu, Xiaomin Fang, Qiang Li, Yonggui Wang, Xingrong Liu and Suling Zhu. Their work appears in journals such as Earth and Space Science, Remote Sensing, Sensors, Applied Sciences and Journal of Atmospheric and Oceanic Technology.
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.