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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Development of methods to improve soybean yield estimation and predict plant maturity with an unmanned aerial vehicle based platform
Neil Yu, LI Liu-jun, Nathan Schmitz, et al.
Remote Sensing of Environment (2016) Vol. 187, pp. 91-101
Closed Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

Soybean yield prediction from UAV using multimodal data fusion and deep learning
Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111599-111599
Open Access | Times Cited: 703
Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review
Achilles D. Boursianis, Maria S. Papadopoulou, Panagiotis D. Diamantoulakis, et al.
Internet of Things (2020) Vol. 18, pp. 100187-100187
Closed Access | Times Cited: 657
Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
Tawseef Ayoub Shaikh, Tabasum Rasool, Faisal Rasheed Lone
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107119-107119
Closed Access | Times Cited: 451
A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses
Jayme Garcia Arnal Barbedo
Drones (2019) Vol. 3, Iss. 2, pp. 40-40
Open Access | Times Cited: 309
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China
Liang Wan, Haiyan Cen, Jiangpeng Zhu, et al.
Agricultural and Forest Meteorology (2020) Vol. 291, pp. 108096-108096
Closed Access | Times Cited: 238
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
Xiuliang Jin, Pablo J. Zarco‐Tejada, Urs Schmidhalter, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 200-231
Open Access | Times Cited: 222
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning
Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1357-1357
Open Access | Times Cited: 220
Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle
Zhaopeng Fu, Jie Jiang, Yang Gao, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 508-508
Open Access | Times Cited: 191
Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery
Lonesome Malambo, Sorin C. Popescu, Seth C. Murray, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 64, pp. 31-42
Open Access | Times Cited: 180
High-throughput phenotyping: Breaking through the bottleneck in future crop breeding
Peng Song, Jinglu Wang, Xinyu Guo, et al.
The Crop Journal (2021) Vol. 9, Iss. 3, pp. 633-645
Open Access | Times Cited: 177
High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field
Daoliang Li, Chaoqun Quan, Zhaoyang Song, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 8
Open Access | Times Cited: 125
Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms
Shuaibing Liu, Xiuliang Jin, Chenwei Nie, et al.
PLANT PHYSIOLOGY (2021) Vol. 187, Iss. 3, pp. 1551-1576
Open Access | Times Cited: 110
Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data
Chaofa Bian, Hongtao Shi, Suqin Wu, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1474-1474
Open Access | Times Cited: 82
Machine Learning for Smart Agriculture and Precision Farming: Towards Making the Fields Talk
Tawseef Ayoub Shaikh, Waseem Ahmad Mir, Tabasum Rasool, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4557-4597
Closed Access | Times Cited: 79
Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review
Ghulam Mohyuddin, Muhammad Adnan Khan, Abdul Haseeb, et al.
IEEE Access (2024) Vol. 12, pp. 60155-60184
Open Access | Times Cited: 29
Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
Boubacar Gano, Sourav Bhadra, Justin M. Vilbig, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 20
A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
Jibo Yue, Haikuan Feng, Xiuliang Jin, et al.
Remote Sensing (2018) Vol. 10, Iss. 7, pp. 1138-1138
Open Access | Times Cited: 160
Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras
Haiyan Cen, Liang Wan, Jiangpeng Zhu, et al.
Plant Methods (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 140
Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data
Huilin Tao, Haikuan Feng, Liangji Xu, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1296-1296
Open Access | Times Cited: 139
Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape
Liang Wan, Yijian Li, Haiyan Cen, et al.
Remote Sensing (2018) Vol. 10, Iss. 9, pp. 1484-1484
Open Access | Times Cited: 118
Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images
Huilin Tao, Haikuan Feng, Liangji Xu, et al.
Sensors (2020) Vol. 20, Iss. 4, pp. 1231-1231
Open Access | Times Cited: 104
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
Akash Ashapure, Jinha Jung, Anjin Chang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 180-194
Closed Access | Times Cited: 102
Visual detection of green mangoes by an unmanned aerial vehicle in orchards based on a deep learning method
Juntao Xiong, Zhen Liu, Shumian Chen, et al.
Biosystems Engineering (2020) Vol. 194, pp. 261-272
Closed Access | Times Cited: 84
Yield estimation of soybean breeding lines under drought stress using unmanned aerial vehicle-based imagery and convolutional neural network
Jing Zhou, Jianfeng Zhou, Heng Ye, et al.
Biosystems Engineering (2021) Vol. 204, pp. 90-103
Closed Access | Times Cited: 73
Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2555-2555
Open Access | Times Cited: 62
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