Ling Yang
- Water Science and Technology top 2%
- Environmental Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Global and Planetary Change
- Atmospheric Science
- Co-authors
- Yingyi ChenDaoliang LiYeqi LiuLihua SongHuihui YuXiaomin FangQiang LiYonggui Wang
- Topics
- Meteorological Phenomena and Simulations (16 papers)Precipitation Measurement and Analysis (13 papers)Water Quality Monitoring Technologies (12 papers)
- Cited by
- Water Science and TechnologyEnvironmental EngineeringIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionScientific Reports
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Ling Yang
39 papers receiving 721 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Water Science and Technology 410
- Environmental Engineering 319
- Industrial and Manufacturing Engineering 117
- Global and Planetary Change 73
- Atmospheric Science 67
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-authorship network of co-authors of Ling Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Ling Yang. A scholar is included among the top collaborators of Ling Yang 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 Ling Yang. Ling Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 41 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | A Review of the Artificial Neural Network Models for Water Quality Predictionbreakdown → | 300 |
| 15 | 170 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 3 |
About Ling Yang
Ling Yang is a scholar working on Atmospheric Science, Environmental Engineering and Water Science and Technology, having authored 48 papers that have together received 746 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (16 papers), Precipitation Measurement and Analysis (13 papers) and Water Quality Monitoring Technologies (12 papers). The work is most often cited by research in Water Science and Technology (410 citations), Environmental Engineering (319 citations) and Industrial and Manufacturing Engineering (117 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, Mingming Lu and Xingrong Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.
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.