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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:

3-D Imaging Systems for Agricultural Applications—A Review
Manuel Vázquez-Arellano, Hans W. Griepentrog, David Reiser, et al.
Sensors (2016) Vol. 16, Iss. 5, pp. 618-618
Open Access | Times Cited: 247

Showing 1-25 of 247 citing articles:

Computer vision technology in agricultural automation —A review
Hongkun Tian, Tianhai Wang, Yadong Liu, et al.
Information Processing in Agriculture (2019) Vol. 7, Iss. 1, pp. 1-19
Open Access | Times Cited: 517
Crop Phenomics: Current Status and Perspectives
Chunjiang Zhao, Ying Zhang, Jianjun Du, et al.
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 330
A review of imaging techniques for plant disease detection
V. K. Singh, Namita Sharma, Shikha Singh
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 229-242
Open Access | Times Cited: 226
In-field High Throughput Phenotyping and Cotton Plant Growth Analysis Using LiDAR
Shangpeng Sun, Changying Li, Andrew H. Paterson, et al.
Frontiers in Plant Science (2018) Vol. 9
Open Access | Times Cited: 179
Implementation of machine vision for detecting behaviour of cattle and pigs
Abozar Nasirahmadi, S.A. Edwards, Barbara Sturm
Livestock Science (2017) Vol. 202, pp. 25-38
Open Access | Times Cited: 176
Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics
Ilaria Buja, Erika Sabella, Anna Grazia Monteduro, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2129-2129
Open Access | Times Cited: 168
Deep learning based computer vision approaches for smart agricultural applications
V. G. Dhanya, A. Subeesh, Nand Lal Kushwaha, et al.
Artificial Intelligence in Agriculture (2022) Vol. 6, pp. 211-229
Open Access | Times Cited: 167
Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Yuhao Bai, Baohua Zhang, Naimin Xu, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107584-107584
Closed Access | Times Cited: 157
A Framework for Agricultural Pest and Disease Monitoring Based on Internet-of-Things and Unmanned Aerial Vehicles
Demin Gao, Quan Sun, Bin Hu, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1487-1487
Open Access | Times Cited: 145
Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions
Andreas Holzinger, Anna Saranti, Alessa Angerschmid, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 3043-3043
Open Access | Times Cited: 110
A Review of Robots, Perception, and Tasks in Precision Agriculture
Andrea Botta, Paride Cavallone, Lorenzo Baglieri, et al.
Applied Mechanics (2022) Vol. 3, Iss. 3, pp. 830-854
Open Access | Times Cited: 97
Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications
Jiayou Shi, Yuhao Bai, Zhihua Diao, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1780-1780
Open Access | Times Cited: 45
Integrating artificial intelligence and Internet of Things (IoT) for enhanced crop monitoring and management in precision agriculture
Kushagra Sharma, Shiv Kumar Shivandu
Sensors International (2024) Vol. 5, pp. 100292-100292
Open Access | Times Cited: 33
Sensors, systems and algorithms of 3D reconstruction for smart agriculture and precision farming: A review
Shuwan Yu, Xiaoang Liu, Qianqiu Tan, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109229-109229
Closed Access | Times Cited: 19
Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms
Fernando Pérez-Sánz, Pedro Navarro, Marcos Egea‐Cortines
GigaScience (2017) Vol. 6, Iss. 11
Open Access | Times Cited: 162
On-barn pig weight estimation based on body measurements by a Kinect v1 depth camera
Andrea Pezzuolo, M. Guarino, Luigi Sartori, et al.
Computers and Electronics in Agriculture (2018) Vol. 148, pp. 29-36
Closed Access | Times Cited: 153
Image Analysis in Plant Sciences: Publish Then Perish
Guillaume Lobet
Trends in Plant Science (2017) Vol. 22, Iss. 7, pp. 559-566
Closed Access | Times Cited: 131
A Survey of Ranging and Imaging Techniques for Precision Agriculture Phenotyping
Francisco Yandun Narváez, Giulio Reina, Miguel Torres‐Torriti, et al.
IEEE/ASME Transactions on Mechatronics (2017) Vol. 22, Iss. 6, pp. 2428-2439
Closed Access | Times Cited: 122
3D printed medical parts with different materials using additive manufacturing
Abid Haleem, Mohd Javaid
Clinical Epidemiology and Global Health (2019) Vol. 8, Iss. 1, pp. 215-223
Open Access | Times Cited: 118
An Accurate Skeleton Extraction Approach From 3D Point Clouds of Maize Plants
Sheng Wu, Weiliang Wen, Boxiang Xiao, et al.
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 104
Sensing and Automation in Pruning of Apple Trees: A Review
Long He, James R. Schupp
Agronomy (2018) Vol. 8, Iss. 10, pp. 211-211
Open Access | Times Cited: 103
Smart Farming Technology Trends: Economic and Environmental Effects, Labor Impact, and Adoption Readiness
Athanasios Τ. Balafoutis, F.K. van Evert, Spyros Fountas
Agronomy (2020) Vol. 10, Iss. 5, pp. 743-743
Open Access | Times Cited: 101
A Feasibility Study on the Use of a Structured Light Depth-Camera for Three-Dimensional Body Measurements of Dairy Cows in Free-Stall Barns
Andrea Pezzuolo, M. Guarino, Luigi Sartori, et al.
Sensors (2018) Vol. 18, Iss. 2, pp. 673-673
Open Access | Times Cited: 98
Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery
Alexey Ruchay, Vitaly Kober, Konstantin Dorofeev, et al.
Computers and Electronics in Agriculture (2020) Vol. 179, pp. 105821-105821
Closed Access | Times Cited: 94
Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challenges
André Freitas Colaço, José Paulo Molin, Joan R. Rosell-Polo, et al.
Horticulture Research (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 91
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