Jingyi Wang
Impact in
- Environmental Engineering top 10%
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
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- Land Use and Ecosystem Services
Papers in
-
- Land Use and Ecosystem Services 11
- Plant Water Relations and Carbon Dynamics 4
-
- Air Quality Monitoring and Forecasting 3
- Remote Sensing and LiDAR Applications 3
- Co-authors
- Yongxuan Liu (1 shared paper)Fei Ye (1 shared paper)Lixia Zhao (1 shared paper)Ying Fu (1 shared paper)Shuang Gao (1 shared paper)Jiayi Ji (3 shared papers)Xuejian Li (5 shared papers)Huaqiang Du (5 shared papers)
- Journals
- Remote Sensing (3 papers)Sustainability (2 papers)Ecological Indicators (2 papers)Tree Physiology (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jingyi Wang
46 papers receiving 481 citations
Peers
Comparison fields: 5 of 115
- Environmental Engineering 85
- Global and Planetary Change 101
- Pollution 52
- Health, Toxicology and Mutagenesis 41
- Water Science and Technology 38
Countries citing papers authored by Jingyi Wang
This map shows the geographic impact of Jingyi Wang'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 Jingyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyi Wang more than expected).
Fields of papers citing papers by Jingyi Wang
This network shows the impact of papers produced by Jingyi Wang. 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 Jingyi Wang. The network helps show where Jingyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingyi Wang, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2022 | 35 | |
| 3 | 2022 | 34 | |
| 4 | 2023 | 28 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 25 | |
| 7 | 2024 | 25 | |
| 8 | 2023 | 23 | |
| 9 | 2021 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2023 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Jingyi Wang
Jingyi Wang is a scholar working on Global and Planetary Change, Environmental Engineering, Health, Toxicology and Mutagenesis, Ecology and Atmospheric Science, having authored 50 papers that have together received 487 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (11 papers), Remote Sensing in Agriculture (5 papers), Forest ecology and management (5 papers), Plant Water Relations and Carbon Dynamics (4 papers), Tree-ring climate responses (3 papers), Air Quality and Health Impacts (3 papers), Air Quality Monitoring and Forecasting (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Environmental Engineering (85 citations), Global and Planetary Change (101 citations), Pollution (52 citations), Health, Toxicology and Mutagenesis (41 citations) and Water Science and Technology (38 citations). Jingyi Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yongxuan Liu, Fei Ye, Lixia Zhao, Ying Fu, Shuang Gao, Jiayi Ji, Xuejian Li, Huaqiang Du, Fangjie Mao and Guangyu Wu. Their work appears in journals such as Remote Sensing, Sustainability, Ecological Indicators, Tree Physiology and Frontiers in Oncology.
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.