Chenwei Nie

1.5k total citations · 1 hit paper
60 papers, 1.1k citations indexed

About

Chenwei Nie is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Chenwei Nie has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ecology, 28 papers in Plant Science and 16 papers in Environmental Engineering. Recurrent topics in Chenwei Nie's work include Remote Sensing in Agriculture (33 papers), Leaf Properties and Growth Measurement (16 papers) and Smart Agriculture and AI (10 papers). Chenwei Nie is often cited by papers focused on Remote Sensing in Agriculture (33 papers), Leaf Properties and Growth Measurement (16 papers) and Smart Agriculture and AI (10 papers). Chenwei Nie collaborates with scholars based in China, United States and Spain. Chenwei Nie's co-authors include Minghan Cheng, Yi Bai, Xiuliang Jin, Jingcheng Zhang, Lin Yuan, Shuaibing Liu, Xun Yu, Mingchao Shao, Jihua Wang and Zixu Wang and has published in prestigious journals such as Water Research, PLANT PHYSIOLOGY and Journal of Colloid and Interface Science.

In The Last Decade

Chenwei Nie

54 papers receiving 1.1k citations

Hit Papers

Estimation of soil moisture content under high maize cano... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chenwei Nie China 18 673 641 295 219 176 60 1.1k
Yuchi Ma United States 15 528 0.8× 454 0.7× 216 0.7× 154 0.7× 110 0.6× 26 979
Luwei Feng China 15 510 0.8× 403 0.6× 238 0.8× 143 0.7× 261 1.5× 23 1.1k
Xiaohe Gu China 18 617 0.9× 455 0.7× 318 1.1× 203 0.9× 169 1.0× 117 1.0k
Muhammad Adeel Hassan China 16 679 1.0× 887 1.4× 301 1.0× 159 0.7× 134 0.8× 29 1.3k
Heli Li China 12 837 1.2× 718 1.1× 398 1.3× 210 1.0× 180 1.0× 33 1.2k
Ittai Herrmann Israel 20 948 1.4× 907 1.4× 285 1.0× 452 2.1× 230 1.3× 48 1.5k
Benoît de Solan France 16 728 1.1× 930 1.5× 341 1.2× 200 0.9× 141 0.8× 30 1.2k
Yonggui Xiao China 19 900 1.3× 1.1k 1.8× 391 1.3× 213 1.0× 167 0.9× 36 1.6k
Shouyang Liu China 21 987 1.5× 1.1k 1.7× 537 1.8× 239 1.1× 324 1.8× 45 1.7k
Camille Lelong France 11 677 1.0× 360 0.6× 340 1.2× 125 0.6× 260 1.5× 29 1.1k

Countries citing papers authored by Chenwei Nie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chenwei Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Chenwei Nie. A scholar is included among the top collaborators of Chenwei Nie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chenwei Nie. Chenwei Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Feng, Dayun, Kexin Gao, Xiuliang Jin, et al.. (2025). Time-series NDVI and greenness spectral indices in mid-to-late growth stages enhance maize yield estimation. Field Crops Research. 333. 110069–110069. 2 indexed citations
2.
Cheng, Minghan, Xiuliang Jin, Chenwei Nie, et al.. (2025). Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale. BMC Plant Biology. 25(1). 154–154. 2 indexed citations
4.
Zhen, Jianing, Dehua Mao, Yeqiao Wang, et al.. (2025). National mapping of wetland vegetation leaf area index in China using hybrid model with Sentinel-2 and Landsat-8 data. ISPRS Journal of Photogrammetry and Remote Sensing. 232. 18–33.
5.
Yang, Ling, Meng Meng, Min Tian, et al.. (2025). Aberrations in peripheral blood interleukin-6 levels in post-traumatic stress disorder: A systematic review and meta-analysis. Behavioural Brain Research. 497. 115881–115881.
6.
Zarco‐Tejada, Pablo J., Josep Peñuelas, Matthew F. McCabe, et al.. (2025). Hyperspectral Remote Sensing for Monitoring Crop Disease: Applications, challenges, and perspectives. IEEE Geoscience and Remote Sensing Magazine. 14(1). 96–120.
7.
Meng, Lin, Bo Ming, Chenwei Nie, et al.. (2025). Maize biomass estimation by integrating spectral, structural, and textural features from unmanned aerial vehicle data. European Journal of Agronomy. 168. 127647–127647. 3 indexed citations
8.
Liu, Yadong, Chenwei Nie, Liang Li, et al.. (2025). Maize tasseling date forecast from canopy height time series estimated by UAV LiDAR data. The Crop Journal. 13(3). 975–990. 1 indexed citations
9.
Liu, Chuyang, Zhiwei Chen, Chenwei Nie, et al.. (2025). Multi-layer alternating structured alginate hydrogels featuring exceptional flexibility and electromagnetic shielding performance. Journal of Colloid and Interface Science. 699(Pt 1). 138103–138103. 5 indexed citations
10.
Nie, Chenwei, Xun Yu, Mingyue Gou, et al.. (2024). Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease. Computers and Electronics in Agriculture. 225. 109350–109350. 7 indexed citations
11.
Jia, Zhijie, Xinlong Zhang, Lu Yuan, et al.. (2024). Comparison and Optimal Method of Detecting the Number of Maize Seedlings Based on Deep Learning. Drones. 8(5). 175–175. 3 indexed citations
12.
Yu, Xun, Dameng Yin, Urs Schmidhalter, et al.. (2024). Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8. Precision Agriculture. 25(4). 1800–1838. 15 indexed citations
13.
Li, Wenbin, et al.. (2024). Multi-Objective Optimization of Municipal Solid Waste Collection Based on Adaptive Large Neighborhood Search. Electronics. 14(1). 103–103. 1 indexed citations
14.
Shao, Mingchao, Chenwei Nie, Aijun Zhang, et al.. (2023). Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. Computers and Electronics in Agriculture. 211. 108029–108029. 16 indexed citations
15.
Jia, Xiao, Dameng Yin, Xun Yu, et al.. (2023). Monitoring Maize Leaf Spot Disease Using Multi-Source UAV Imagery. Drones. 7(11). 650–650. 4 indexed citations
16.
Zhou, Lili, Chenwei Nie, Yang Song, et al.. (2023). Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods. Agriculture. 13(4). 895–895. 21 indexed citations
17.
Ming, Bo, Shang Gao, Huirong Guo, et al.. (2023). Radiometric Correction of Multispectral Field Images Captured under Changing Ambient Light Conditions and Applications in Crop Monitoring. Drones. 7(4). 223–223. 12 indexed citations
18.
Bai, Yi, Liangsheng Shi, Yuanyuan Zha, et al.. (2023). Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images. Computers and Electronics in Agriculture. 215. 108349–108349. 11 indexed citations
19.
Yu, Xun, Dameng Yin, Chenwei Nie, et al.. (2022). Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model. Computers and Electronics in Agriculture. 203. 107477–107477. 32 indexed citations
20.
Nie, Chenwei, et al.. (2018). Simulation of the land surface temperature from moon-based Earth observations. Advances in Space Research. 63(2). 826–839. 15 indexed citations

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.

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