Chenwei Nie
Impact in
- Ecology top 2%
- Remote Sensing in Agriculture
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
Papers in
- Ecology 33
- Remote Sensing in Agriculture 33
-
- Leaf Properties and Growth Measurement 16
- Smart Agriculture and AI 10
- Co-authors
- Minghan Cheng (17 shared papers)Jingcheng Zhang (8 shared papers)Lin Yuan (7 shared papers)Xiuliang Jin (19 shared papers)Yi Bai (16 shared papers)Shuaibing Liu (15 shared papers)Xun Yu (17 shared papers)Mingchao Shao (8 shared papers)
- Journals
- Computers and Electronics in Agriculture (5 papers)Field Crops Research (4 papers)Precision Agriculture (3 papers)Drones (3 papers)Remote Sensing (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Chenwei Nie
53 papers receiving 1.2k citations
Chenwei Nie's Hit Papers
Peers
Comparison fields: 5 of 80
- Ecology 712
- Analytical Chemistry 225
- Environmental Engineering 312
- Plant Science 687
- Global and Planetary Change 193
Countries citing papers authored by Chenwei Nie
This map shows the geographic impact of Chenwei Nie'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 Chenwei Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenwei Nie more than expected).
Fields of papers citing papers by Chenwei Nie
This network shows the impact of papers produced by Chenwei Nie. 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 Chenwei Nie. The network helps show where Chenwei Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenwei Nie, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning Hit paper breakdown → | 2022 | 140 |
| 2 | 2013 | 138 | |
| 3 | 2021 | 121 | |
| 4 | 2021 | 56 | |
| 5 | 2014 | 53 | |
| 6 | 2018 | 50 | |
| 7 | 2023 | 50 | |
| 8 | 2022 | 48 | |
| 9 | 2014 | 47 | |
| 10 | 2015 | 47 | |
| 11 | 2022 | 37 | |
| 12 | 2023 | 36 | |
| 13 | 2022 | 33 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2023 | 22 | |
| 17 | 2023 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2021 | 18 | |
| 20 | 2014 | 16 |
About Chenwei Nie
Chenwei Nie is a scholar working on Ecology, Plant Science, Environmental Engineering, Atmospheric Science and Analytical Chemistry, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (33 papers), Leaf Properties and Growth Measurement (16 papers), Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (9 papers), Remote Sensing and LiDAR Applications (9 papers), Remote Sensing and Land Use (7 papers), Urban Heat Island Mitigation (6 papers) and Crop Yield and Soil Fertility (4 papers). The work is most often cited by research in Ecology (712 citations), Analytical Chemistry (225 citations), Environmental Engineering (312 citations), Plant Science (687 citations) and Global and Planetary Change (193 citations). Chenwei Nie has collaborated with scholars based in China, United States and India. Frequent co-authors include Minghan Cheng, Jingcheng Zhang, Lin Yuan, Xiuliang Jin, Yi Bai, Shuaibing Liu, Xun Yu, Mingchao Shao, Jihua Wang and Siyu Wang. Their work appears in journals such as Computers and Electronics in Agriculture, Field Crops Research, Precision Agriculture, Drones 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.