Chenghai Yang
- Ecology top 0.5%
- Remote Sensing in Agriculture 120
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications 42
- Media Technology top 0.5%
- Remote-Sensing Image Classification 25
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses 23
- Ecological Modeling top 2%
- Species Distribution and Climate Change 17
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- Smart Agriculture and AI 31
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- Land Use and Ecosystem Services 24
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- Remote Sensing and Land Use 19
- Co-authors
- J. H. EverittJ. M. BradfordWon Suk LeeDimitrios MoshouV. AlchanatisMasayuki HirafujiReginald S. FletcherDongyan Zhang
- Journals
- Remote Sensing (19 papers)Computers and Electronics in Agriculture (13 papers)Geocarto International (13 papers)
- Partner nations
- United StatesChinaEgypt
In The Last Decade
Chenghai Yang
163 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 135
- Ecology 2.4k
- Environmental Engineering 1.1k
- Media Technology 511
- Analytical Chemistry 551
- Ecological Modeling 204
Countries citing papers authored by Chenghai Yang
This map shows the geographic impact of Chenghai Yang'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 Chenghai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenghai Yang more than expected).
Fields of papers citing papers by Chenghai Yang
This network shows the impact of papers produced by Chenghai Yang. 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 Chenghai Yang. The network helps show where Chenghai Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chenghai Yang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 58 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 48 | |
| 19 | 2019 | 43 | |
| 20 | Using remote sensing and spatial information technologies to detect and map two aquatic macrophytes. | 1999 | 51 |
About Chenghai Yang
Chenghai Yang is a scholar working on Ecology, Ecological Modeling, Environmental Engineering, Media Technology and Analytical Chemistry, having authored 169 papers that have together received 4.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (120 papers), Remote Sensing and LiDAR Applications (42 papers), Smart Agriculture and AI (31 papers), Remote-Sensing Image Classification (25 papers), Land Use and Ecosystem Services (24 papers), Spectroscopy and Chemometric Analyses (23 papers), Remote Sensing and Land Use (19 papers) and Species Distribution and Climate Change (17 papers). The work is most often cited by research in Ecology (2.4k citations), Environmental Engineering (1.1k citations), Media Technology (511 citations), Analytical Chemistry (551 citations) and Ecological Modeling (204 citations). Chenghai Yang has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include J. H. Everitt, J. M. Bradford, Won Suk Lee, Dimitrios Moshou, V. Alchanatis, Masayuki Hirafuji, Reginald S. Fletcher, Dongyan Zhang, Qian Du and M. R. Davis. Their work appears in journals such as Remote Sensing, Computers and Electronics in Agriculture, Geocarto International, Precision Agriculture and Journal of Coastal 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.