Lingling Ni
Impact in
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
-
- Hydrological Forecasting Using AI 7
- Groundwater flow and contamination studies 2
-
- Hydrology and Watershed Management Studies 9
- Co-authors
- Yuwei Tao (11 shared papers)Dong Wang (5 shared papers)Jianfeng Wu (6 shared papers)Jianyun Zhang (5 shared papers)Yuankun Wang (9 shared papers)Vijay P. Singh (3 shared papers)Jiufu Liu (5 shared papers)Jichun Wu (5 shared papers)
- Journals
- Journal of Hydrology (5 papers)Environmental Research (3 papers)Hydrological Processes (2 papers)Sustainability (1 paper)Water Resources Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Lingling Ni
13 papers receiving 639 citations
Peers
Comparison fields: 5 of 73
- Environmental Engineering 406
- Water Science and Technology 353
- Global and Planetary Change 307
- Nature and Landscape Conservation 56
- Atmospheric Science 67
Countries citing papers authored by Lingling Ni
This map shows the geographic impact of Lingling Ni'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 Lingling Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Ni more than expected).
Fields of papers citing papers by Lingling Ni
This network shows the impact of papers produced by Lingling Ni. 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 Lingling Ni. The network helps show where Lingling Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling Ni, 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 | 2019 | 253 | |
| 2 | 2020 | 183 | |
| 3 | 2019 | 71 | |
| 4 | 2020 | 40 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2025 | 1 | |
| 14 | 2021 | 0 |
About Lingling Ni
Lingling Ni is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Nature and Landscape Conservation and Pollution, having authored 14 papers that have together received 645 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (9 papers), Hydrological Forecasting Using AI (7 papers), Flood Risk Assessment and Management (5 papers), Groundwater flow and contamination studies (2 papers), Fish Ecology and Management Studies (2 papers), Climate variability and models (2 papers), Toxic Organic Pollutants Impact (2 papers) and Hydrology and Sediment Transport Processes (1 paper). The work is most often cited by research in Environmental Engineering (406 citations), Water Science and Technology (353 citations), Global and Planetary Change (307 citations), Nature and Landscape Conservation (56 citations) and Atmospheric Science (67 citations). Lingling Ni has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Yuwei Tao, Dong Wang, Jianfeng Wu, Jianyun Zhang, Yuankun Wang, Vijay P. Singh, Jiufu Liu, Jichun Wu, Bruce L. Rhoads and Dong Wang. Their work appears in journals such as Journal of Hydrology, Environmental Research, Hydrological Processes, Sustainability and Water Resources 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.