Lingjun Dai
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
-
- Air Quality and Health Impacts
Papers in
- Ecology 6
- Avian ecology and behavior 2
- Wildlife Ecology and Conservation 2
- Coastal wetland ecosystem dynamics 2
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- Land Use and Ecosystem Services 3
- Co-authors
- Hongyu Liu (4 shared papers)Juan Wang (1 shared paper)Gang Wang (5 shared papers)Cheng Wang (6 shared papers)Yufeng Li (5 shared papers)Yanan Zhang (4 shared papers)Yongxiang Zhao (3 shared papers)Yufeng Li (3 shared papers)
- Journals
- Ecological Indicators (3 papers)PeerJ (1 paper)Environmental Monitoring and Assessment (1 paper)Agriculture Ecosystems & Environment (1 paper)Land Use Policy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lingjun Dai
11 papers receiving 415 citations
Peers
Comparison fields: 5 of 77
- Ecological Modeling 92
- Health, Toxicology and Mutagenesis 115
- Ecology 184
- Environmental Engineering 100
- Global and Planetary Change 146
Countries citing papers authored by Lingjun Dai
This map shows the geographic impact of Lingjun Dai'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 Lingjun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjun Dai more than expected).
Fields of papers citing papers by Lingjun Dai
This network shows the impact of papers produced by Lingjun Dai. 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 Lingjun Dai. The network helps show where Lingjun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingjun Dai, 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 | 2017 | 130 | |
| 2 | 2020 | 91 | |
| 3 | 2020 | 49 | |
| 4 | 2018 | 42 | |
| 5 | 2020 | 41 | |
| 6 | 2019 | 30 | |
| 7 | 2020 | 22 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 8 | |
| 10 | Study on wetland spatial and temporal patterns of net primary productivity in the duration of 2000-2010 in Guizhou. | 2015 | 1 |
| 11 | 2022 | 1 |
About Lingjun Dai
Lingjun Dai is a scholar working on Ecology, Global and Planetary Change, Ocean Engineering, Ecological Modeling and Surgery, having authored 11 papers that have together received 423 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (3 papers), Wetland Management and Conservation (3 papers), Species Distribution and Climate Change (2 papers), Avian ecology and behavior (2 papers), Wildlife Ecology and Conservation (2 papers), Coastal wetland ecosystem dynamics (2 papers), Hydrology and Watershed Management Studies (1 paper) and Air Quality Monitoring and Forecasting (1 paper). The work is most often cited by research in Ecological Modeling (92 citations), Health, Toxicology and Mutagenesis (115 citations), Ecology (184 citations), Environmental Engineering (100 citations) and Global and Planetary Change (146 citations). Lingjun Dai has collaborated with scholars based in China and United States. Frequent co-authors include Hongyu Liu, Juan Wang, Gang Wang, Cheng Wang, Hongyu Liu, Yufeng Li, Yanan Zhang, Yongxiang Zhao, Yufeng Li and Yi Zhou. Their work appears in journals such as Ecological Indicators, PeerJ, Environmental Monitoring and Assessment, Agriculture Ecosystems & Environment and Land Use Policy.
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.