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:

Analysis of Plant Height Changes of Lodged Maize Using UAV-LiDAR Data
Longfei Zhou, Xiaohe Gu, Shu Cheng, et al.
Agriculture (2020) Vol. 10, Iss. 5, pp. 146-146
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Drones in agriculture: A review and bibliometric analysis
Abderahman Rejeb, Alireza Abdollahi, Karim Rejeb, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107017-107017
Open Access | Times Cited: 372

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin, Xiliang Sun, Fangfang Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 202-223
Closed Access | Times Cited: 154

Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey
Jia Liu, Jianjian Xiang, Yongjun Jin, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4387-4387
Open Access | Times Cited: 113

LiDAR applications in precision agriculture for cultivating crops: A review of recent advances
Gilberto Rivera, Raúl Porras, Rogelio Florencia, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107737-107737
Closed Access | Times Cited: 104

Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean
Lalit Pun Magar, Jeremy Sandifer, Deepak Khatri, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access | Times Cited: 2

UAS-Based Plant Phenotyping for Research and Breeding Applications
Wei Guo, Matthew E. Carroll, Arti Singh, et al.
Plant Phenomics (2021) Vol. 2021
Open Access | Times Cited: 95

High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation
Leonardo Volpato, Francisco Pinto, Lorena González-Pérez, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 87

Quality control and crop characterization framework for multi-temporal UAV LiDAR data over mechanized agricultural fields
Yi-Chun Lin, Ayman Habib
Remote Sensing of Environment (2021) Vol. 256, pp. 112299-112299
Open Access | Times Cited: 63

The Application of UAV-Based Hyperspectral Imaging to Estimate Crop Traits in Maize Inbred Lines
Meiyan Shu, Mengyuan Shen, Jinyu Zuo, et al.
Plant Phenomics (2021) Vol. 2021
Open Access | Times Cited: 59

Individual Maize Location and Height Estimation in Field from UAV-Borne LiDAR and RGB Images
Min Gao, Fengbao Yang, Wei Hong, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2292-2292
Open Access | Times Cited: 44

Machine learning methods for precision agriculture with UAV imagery: a review
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
Electronic Research Archive (2022) Vol. 30, Iss. 12, pp. 4277-4317
Open Access | Times Cited: 43

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding
Andrew W. Herr, Alper Adak, Matthew E. Carroll, et al.
Crop Science (2023) Vol. 63, Iss. 4, pp. 1722-1749
Open Access | Times Cited: 39

Applications of LiDAR in Agriculture and Future Research Directions
Sourabhi Debnath, Manoranjan Paul, Tanmoy Debnath
Journal of Imaging (2023) Vol. 9, Iss. 3, pp. 57-57
Open Access | Times Cited: 38

Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning
Juan Xiao, Stanley Anak Suab, Xinyu Chen, et al.
Measurement (2023) Vol. 214, pp. 112764-112764
Closed Access | Times Cited: 34

3D reconstruction and characterization of cotton bolls in situ based on UAV technology
Shunfu Xiao, Shuaipeng Fei, Yulu Ye, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 209, pp. 101-116
Closed Access | Times Cited: 16

Crop water stress detection based on UAV remote sensing systems
Hao Dong, Jiahui Dong, Shikun Sun, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109059-109059
Open Access | Times Cited: 15

A Comprehensive Review of LiDAR Applications in Crop Management for Precision Agriculture
Sheikh Muhammad Farhan, Jianjun Yin, Zhijian Chen, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5409-5409
Open Access | Times Cited: 13

Accurate Plant Height Estimation in Pulse Crops through Integration of LiDAR, Multispectral Information, and Machine Learning
Aliasghar Bazrafkan, Hannah Worral, Nonoy Bandillo, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101517-101517
Closed Access | Times Cited: 1

A Review on Drone-Based Data Solutions for Cereal Crops
Uma Shankar Panday, Arun Kumar Pratihast, Jagannath Aryal, et al.
Drones (2020) Vol. 4, Iss. 3, pp. 41-41
Open Access | Times Cited: 68

Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images
Meiyan Shu, Dong Qizhou, Shuaipeng Fei, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106982-106982
Closed Access | Times Cited: 38

UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds
Minhui Li, Redmond R. Shamshiri, Michael Schirrmann, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 585-585
Open Access | Times Cited: 36

GNSS-IMU-assisted colored ICP for UAV-LiDAR point cloud registration of peach trees
Wenan Yuan, Daeun Choi, Dimitrios Bolkas
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106966-106966
Open Access | Times Cited: 31

Comparison of the performance of Multi-source Three-dimensional structural data in the application of monitoring maize lodging
Xueqian Hu, Xiaohe Gu, Qian Sun, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107782-107782
Closed Access | Times Cited: 18

UAS-based remote sensing for agricultural Monitoring: Current status and perspectives
Jingzhe Wang, Silu Zhang, Iván Lizaga, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109501-109501
Closed Access | Times Cited: 8

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