Chunyuan Diao
- Media Technology top 1%
- Remote-Sensing Image Classification 11
- Advanced Image Fusion Techniques 4
- Ecology top 5%
- Remote Sensing in Agriculture 31
- Global and Planetary Change top 5%
- Land Use and Ecosystem Services 8
- Plant Water Relations and Carbon Dynamics 6
- Ecological Modeling top 5%
- Species Distribution and Climate Change 11
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 7
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- Remote Sensing and Land Use 6
- Co-authors
- Le WangZhenfeng ShaoPan YinJiajun CaiDameng YinJian WuLei ZhouQimin Cheng
- Journals
- The Science of The Total Environment (1 paper)Remote Sensing of Environment (8 papers)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Chunyuan Diao
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Media Technology 308
- Ecology 618
- Global and Planetary Change 505
- Ecological Modeling 94
- Environmental Engineering 249
Countries citing papers authored by Chunyuan Diao
This map shows the geographic impact of Chunyuan Diao'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 Chunyuan Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunyuan Diao more than expected).
Fields of papers citing papers by Chunyuan Diao
This network shows the impact of papers produced by Chunyuan Diao. 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 Chunyuan Diao. The network helps show where Chunyuan Diao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunyuan Diao, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 22 | |
| 15 | 2021 | 26 | |
| 16 | 2021 | 13 | |
| 17 | 2019 | 16 | |
| 18 | 2017 | 65 | |
| 19 | 2016 | 58 | |
| 20 | A PRELIMINARY STUDY ON THE URBAN GEOMORPHOLOGY IN SICHUAN PROVINCE | 1989 | 1 |
About Chunyuan Diao
Chunyuan Diao is a scholar working on Ecological Modeling, Ecology and Media Technology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (31 papers), Remote-Sensing Image Classification (11 papers), Species Distribution and Climate Change (11 papers), Land Use and Ecosystem Services (8 papers), Remote Sensing and LiDAR Applications (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Remote Sensing and Land Use (6 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Media Technology (308 citations), Ecology (618 citations) and Global and Planetary Change (505 citations). Chunyuan Diao has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Le Wang, Zhenfeng Shao, Pan Yin, Jiajun Cai, Dameng Yin, Jian Wu, Lei Zhou, Qimin Cheng, Ming Liu and Song Leng. Their work appears in journals such as The Science of The Total Environment, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.
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.