Yingyi Zhao
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Ecology top 10%
- Remote Sensing in Agriculture
Papers in
-
- Land Use and Ecosystem Services 4
- Plant Water Relations and Carbon Dynamics 4
- Ecology 9
- Remote Sensing in Agriculture 9
- Co-authors
- Jin Wu (11 shared papers)Guangqin Song (8 shared papers)Jing Wang (5 shared papers)Zhengbing Yan (7 shared papers)Zhengfei Guo (6 shared papers)Calvin K. F. Lee (7 shared papers)Haidong Li (1 shared paper)Shaohua Wang (1 shared paper)
- Journals
- Remote Sensing of Environment (7 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)Materials Today Bio (2 papers)Chemical Engineering Journal (2 papers)CrystEngComm (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yingyi Zhao
23 papers receiving 392 citations
Peers
Comparison fields: 5 of 83
- Ecological Modeling 70
- Ecology 194
- Environmental Engineering 104
- Global and Planetary Change 139
- Nature and Landscape Conservation 36
Countries citing papers authored by Yingyi Zhao
This map shows the geographic impact of Yingyi Zhao'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 Yingyi Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingyi Zhao more than expected).
Fields of papers citing papers by Yingyi Zhao
This network shows the impact of papers produced by Yingyi Zhao. 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 Yingyi Zhao. The network helps show where Yingyi Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingyi Zhao, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2018 | 46 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 32 | |
| 5 | 2023 | 29 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2024 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2024 | 15 | |
| 14 | 2024 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2024 | 1 |
About Yingyi Zhao
Yingyi Zhao is a scholar working on Global and Planetary Change, Ecology, Ecological Modeling, Materials Chemistry and Molecular Biology, having authored 27 papers that have together received 405 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (9 papers), Species Distribution and Climate Change (6 papers), Land Use and Ecosystem Services (4 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Plant Water Relations and Carbon Dynamics (4 papers), Remote Sensing and LiDAR Applications (3 papers), Covalent Organic Framework Applications (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Ecological Modeling (70 citations), Ecology (194 citations), Environmental Engineering (104 citations), Global and Planetary Change (139 citations) and Nature and Landscape Conservation (36 citations). Yingyi Zhao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jin Wu, Guangqin Song, Jing Wang, Zhengbing Yan, Zhengfei Guo, Calvin K. F. Lee, Haidong Li, Shaohua Wang, Qingwu Hu and Mingyao Ai. Their work appears in journals such as Remote Sensing of Environment, ISPRS Journal of Photogrammetry and Remote Sensing, Materials Today Bio, Chemical Engineering Journal and CrystEngComm.
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.