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:

Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives
Abbas Atefi, Yufeng Ge, Santosh Pitla, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

A review on multirobot systems in agriculture
Chanyoung Ju, Jeongeun Kim, Jaehwi Seol, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107336-107336
Closed Access | Times Cited: 69

Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs
Mohsen Yoosefzadeh-Najafabadi, Mohsen Hesami, Milad Eskandari
Genes (2023) Vol. 14, Iss. 4, pp. 777-777
Open Access | Times Cited: 43

All-organic transparent plant e-skin for noninvasive phenotyping
Yanqin Yang, Tianyiyi He, Pratibha Ravindran, et al.
Science Advances (2024) Vol. 10, Iss. 7
Open Access | Times Cited: 21

Automation’s Impact on Agriculture: Opportunities, Challenges, and Economic Effects
Khadijeh Bazargani, Taher Deemyad
Robotics (2024) Vol. 13, Iss. 2, pp. 33-33
Open Access | Times Cited: 19

A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots
Rui Xu, Changying Li
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 49

Remote Big Data Management Tools, Sensing and Computing Technologies, and Visual Perception and Environment Mapping Algorithms in the Internet of Robotic Things
Mihai Andronie, George Lăzăroiu, Oana Ludmila Karabolevski, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 22-22
Open Access | Times Cited: 46

Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping
Fitsum T. Teshome, Haimanote K. Bayabil, Gerrit Hoogenboom, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108064-108064
Open Access | Times Cited: 33

Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics
Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, et al.
Robotics and Autonomous Systems (2023) Vol. 169, pp. 104514-104514
Open Access | Times Cited: 27

Navigating the future: exploring technological advancements and emerging trends in the sustainable ornamental industry
Muneeb Ahmad Wani, Ambreena Din, Imtiyaz Tahir Nazki, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 24

Cyber-agricultural systems for crop breeding and sustainable production
Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, et al.
Trends in Plant Science (2023) Vol. 29, Iss. 2, pp. 130-149
Open Access | Times Cited: 24

Agricultural Harvesting Robot Concept Design and System Components: A Review
Mohd Fazly Mail, Joe Mari Maja, Michael W. Marshall, et al.
AgriEngineering (2023) Vol. 5, Iss. 2, pp. 777-800
Open Access | Times Cited: 22

Comparing and combining data-driven and model-driven approaches to monitor wheat green area index with high spatio-temporal resolution satellites
Mingxia Dong, Shouyang Liu, Jiang Rui-bo, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114118-114118
Open Access | Times Cited: 12

Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review
Arjun Upadhyay, Yu Zhang, Cengiz Koparan, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109363-109363
Open Access | Times Cited: 10

Robotics and Autonomous Systems for Net Zero Agriculture
Simon Pearson, Tania Carolina Camacho-Villa, Ravi Valluru, et al.
Current Robotics Reports (2022) Vol. 3, Iss. 2, pp. 57-64
Open Access | Times Cited: 32

Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring
Uzair Ahmad, Abozar Nasirahmadi, Oliver Hensel, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 555-555
Open Access | Times Cited: 29

Adapting crop production to climate change and air pollution at different scales
Evgenios Agathokleous, Michael Frei, Oliver Knopf, et al.
Nature Food (2023) Vol. 4, Iss. 10, pp. 854-865
Closed Access | Times Cited: 18

Dynamic detection of three-dimensional crop phenotypes based on a consumer-grade RGB-D camera
Peng Song, Zhengda Li, Meng Yang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 17

Digitalization of agriculture for sustainable crop production: a use-case review
Redmond R. Shamshiri, Barbara Sturm, Cornelia Weltzien, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 5

Advances in the tea plants phenotyping using hyperspectral imaging technology
Baidong Luo, Hong-Wei Sun, Leilei Zhang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5

LettuceP3D: A tool for analysing 3D phenotypes of individual lettuce plants
Xiaofen Ge, Sheng Wu, Weiliang Wen, et al.
Biosystems Engineering (2025) Vol. 251, pp. 73-88
Closed Access

A method for phenotyping lettuce volume and structure from 3D images
Victor Bloch, Alexey Shapiguzov, Titta Kotilainen, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access

Genomics-Assisted Breeding (GAB) for Trait Improvement: Unveiling Genomic Strategies for Accelerated Crop Enhancement
Mohd Hadi Yunus, Aliya Firdaus, Zeba Khan, et al.
CABI eBooks (2025), pp. 138-165
Closed Access

Deep learning‐based weed detection for precision herbicide application in turf
Xiaojun Jin, Hua Zhao, Xiaotong Kong, et al.
Pest Management Science (2025)
Closed Access

SSL-NBV: A self-supervised-learning-based next-best-view algorithm for efficient 3D plant reconstruction by a robot
Jianchao Ci, E.J. van Henten, Xin Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110121-110121
Open Access

On construction of data preprocessing for real-life SoyLeaf dataset & disease identification using Deep Learning Models
Sujata Gudge, Aruna Tiwari, Milind B. Ratnaparkhe, et al.
Computational Biology and Chemistry (2025), pp. 108417-108417
Closed Access

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