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 26-50 of 87 citing articles:

Pathways to de novo domestication of crop wild relatives
Shaun J. Curtin, Yiping Qi, Lázaro Eustáquio Pereira Peres, et al.
PLANT PHYSIOLOGY (2021) Vol. 188, Iss. 4, pp. 1746-1756
Open Access | Times Cited: 35

Evaluation of convolutional neural networks for herbicide susceptibility-based weed detection in turf
Xiaojun Jin, Teng Liu, Patrick E. McCullough, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12

The role of the ideotype in future agricultural production
Alonso A. J. Carbajal-Friedrich, Alexandra J. Burgess
Frontiers in Plant Physiology (2024) Vol. 2
Open Access | Times Cited: 4

AI-powered revolution in plant sciences: advancements, applications, and challenges for sustainable agriculture and food security
Deependra Kumar Gupta, Anselmo Pagani, Paolo Zamboni, et al.
(2024) Vol. 2, Iss. 5, pp. 443-459
Open Access | Times Cited: 4

Plant phenotyping with limited annotation: Doing more with less
Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, et al.
The Plant Phenome Journal (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 19

A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping
Firozeh Solimani, Angelo Cardellicchio, Massimiliano Nitti, et al.
Information (2023) Vol. 14, Iss. 4, pp. 214-214
Open Access | Times Cited: 10

Emerging Trends in Wheat (Triticum spp.) Breeding: Implications for the Future
Mujahid Alam, P. Stephen Baenziger, Katherine Frels
Frontiers in Bioscience-Elite (2024) Vol. 16, Iss. 1, pp. 2-2
Open Access | Times Cited: 3

Challenges in Achieving Artificial Intelligence in Agriculture
Anjana J. Atapattu, L. Perera, Tharindu D. Nuwarapaksha, et al.
(2024), pp. 7-34
Closed Access | Times Cited: 3

Review: Purchased agricultural input quality and small farms
Hope Michelson, Sydney Gourlay, Travis J. Lybbert, et al.
Food Policy (2023) Vol. 116, pp. 102424-102424
Open Access | Times Cited: 9

Class‐specific data augmentation for plant stress classification
Nasla Saleem, Aditya Balu, Talukder Z. Jubery, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2

Crop nitrogen status and yield formation: A cross-species comparison for maize, rice, and wheat field crops
Ignacio M. Rodriguez, Josefina Lacasa, G. Lemaire, et al.
Field Crops Research (2024) Vol. 316, pp. 109515-109515
Closed Access | Times Cited: 2

Integrating multi-angle and multi-scale remote sensing for precision nitrogen management in agriculture: A review
Yeying Zhou, Yuntao Ma, Syed Tahir Ata-Ul-Karim, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109829-109829
Open Access | Times Cited: 2

A Loosely Coupled Extended Kalman Filter Algorithm for Agricultural Scene-Based Multi-Sensor Fusion
Meibo Lv, Hai‐Rui Wei, Xinyu Fu, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 13

Cost‐effective, high‐throughput phenotyping system for 3D reconstruction of fruit form
Mitchell J. Feldmann, Amy Tabb
The Plant Phenome Journal (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 12

Quality Analysis of a High-Precision Kinematic Laser Scanning System for the Use of Spatio-Temporal Plant and Organ-Level Phenotyping in the Field
Felix Esser, Lasse Klingbeil, Lina Zabawa, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1117-1117
Open Access | Times Cited: 7

Research advance in phenotype detection robots for agriculture and forestry
Yuanqiao Wang, Jiangchuan Fan, S.K. Yu, et al.
International journal of agricultural and biological engineering (2023) Vol. 16, Iss. 1, pp. 14-25
Open Access | Times Cited: 7

Genomics combined with UAS data enhances prediction of grain yield in winter wheat
Osval A. Montesinos‐López, Andrew W. Herr, José Crossa, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 7

The Era of Plant Breeding: Conventional Breeding to Genomics-assisted Breeding for Crop Improvement
Thumadath Palayullaparambil Ajeesh Krishna, Veeramuthu Duraipandiyan, Theivanayagam Maharajan, et al.
Current Genomics (2023) Vol. 24, Iss. 1, pp. 24-35
Open Access | Times Cited: 7

Development of high‐throughput wet‐chemical synthesis techniques for material research
Zhuyang Chen, Dongdong Lu, Jinwei Cao, et al.
Materials Genome Engineering Advances (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 7

Citrus yield prediction using deep learning techniques: A combination of field and satellite data
Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, et al.
Journal of Open Innovation Technology Market and Complexity (2023) Vol. 9, Iss. 2, pp. 100075-100075
Open Access | Times Cited: 6

In Situ Measuring Stem Diameters of Maize Crops with a High-Throughput Phenotyping Robot
Zhengqiang Fan, Na Sun, Quan Qiu, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 1030-1030
Open Access | Times Cited: 9

Effect of Preprocessing and Augmentation Process in Development of a Deep Learning Model for Fusarium Detection in Shallots
Yuvicko Gerhaen Purwansya, Mohamad Solahudin, Supriyanto Supriyanto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) (2024) Vol. 13, Iss. 2, pp. 350-350
Open Access | Times Cited: 1

Towards Autonomous Crop Monitoring: Inserting Sensors in Cluttered Environments
Moonyoung Lee, Aaron Berger, Dominic Guri, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5150-5157
Open Access | Times Cited: 1

P-AgSLAM: In-Row and Under-Canopy SLAM for Agricultural Monitoring in Cornfields
Kitae Kim, Aarya Deb, David J. Cappelleri
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 4982-4989
Closed Access | Times Cited: 1

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