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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:

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops
Nikita Genze, Richa Bharti, Michael Grieb, et al.
Plant Methods (2020) Vol. 16, Iss. 1
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 505
Sustainable Agriculture through Multidisciplinary Seed Nanopriming: Prospects of Opportunities and Challenges
Amruta Shelar, Ajay Vikram Singh, Romi Singh Maharjan, et al.
Cells (2021) Vol. 10, Iss. 9, pp. 2428-2428
Open Access | Times Cited: 82
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning
Guojie Ruan, Xinyu Li, Fei Yuan, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106852-106852
Closed Access | Times Cited: 66
Modeling and optimizing in vitro seed germination of industrial hemp (Cannabis sativa L.)
Mohsen Hesami, Marco Pepe, Adrian S. Monthony, et al.
Industrial Crops and Products (2021) Vol. 170, pp. 113753-113753
Closed Access | Times Cited: 55
Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields
Nikita Genze, Raymond Ajekwe, Zeynep Güreli, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107388-107388
Open Access | Times Cited: 42
AIseed: An automated image analysis software for high-throughput phenotyping and quality non-destructive testing of individual plant seeds
Keling Tu, Weifeng Wu, Ying Cheng, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107740-107740
Closed Access | Times Cited: 22
Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing
Jibo Yue, Wei Guo, Guijun Yang, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 42
A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning
Keling Tu, Shaozhe Wen, Ying Cheng, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 29
Cold argon plasma (CAP)-assisted seed priming to improve germination metrics of Ferula assa-foetida, an endangered medicinal plant
Jaber Nasiri, Ali Raza Jamali, Abolfazl Mazandarani, et al.
Results in Engineering (2025), pp. 104332-104332
Open Access
Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview
Mohamed Farag Taha, Hanping Mao, Zhao Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 582-582
Open Access
Deep‐learning‐based automatic evaluation of rice seed germination rate
Jinfeng Zhao, Yan Ma, Kaicheng Yong, et al.
Journal of the Science of Food and Agriculture (2022) Vol. 103, Iss. 4, pp. 1912-1924
Closed Access | Times Cited: 22
Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model
Nikita Genze, Maximilian Wirth, Christian Schreiner, et al.
Plant Methods (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 13
Seed Quality Control and Assurance
D. Vijay, Manjunath Prasad C. T., H. P. Vijayakumar
(2025), pp. 279-317
Closed Access
Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)
Muhammad Aasım, Fatma Ebru Akın, Syed Amjad Ali, et al.
Physiology and Molecular Biology of Plants (2023)
Open Access | Times Cited: 11
Modeling Callus Induction and Regeneration in Hypocotyl Explant of Fodder Pea (Pisum sativum var. arvense L.) Using Machine Learning Algorithm Method
Aras Türkoğlu, Parisa Bolouri, Kamil Haliloğlu, et al.
Agronomy (2023) Vol. 13, Iss. 11, pp. 2835-2835
Open Access | Times Cited: 11
Artificial intelligence models for validating and predicting the impact of chemical priming of hydrogen peroxide (H2O2) and light emitting diodes on in vitro grown industrial hemp (Cannabis sativa L.)
Muhammad Aasım, Büşra YILDIRIM, Ahmet Say, et al.
Plant Molecular Biology (2024) Vol. 114, Iss. 2
Closed Access | Times Cited: 3
Seeding detection and distribution evaluation using the developed automatic maize seeding machine
Yunxia Li, Zhao Zhang, Afshin Azizi, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108872-108872
Closed Access | Times Cited: 3
An exploration of the influence of ZnO NPs treatment on germination of radish seeds under salt stress based on the YOLOv8-R lightweight model
Zhiqian Ouyang, Xiuqing Fu, Zhibo Zhong, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 3
Integrative approaches to enhance reproductive resilience of crops for climate-proof agriculture
Collins Agho, Adi Avni, Ariola Bacu, et al.
Plant Stress (2024), pp. 100704-100704
Open Access | Times Cited: 3
Benchmarking Machine Learning Approaches to Evaluate the Cultivar Differentiation of Plum (Prunus domestica L.) Kernels
Ewa Ropelewska, Xiang Cai, Zhang Zhan, et al.
Agriculture (2022) Vol. 12, Iss. 2, pp. 285-285
Open Access | Times Cited: 18
Deep transfer learning based photonics sensor for assessment of seed-quality
Puneet Singh, Bhavya Tiwari, Abhishek Kumar, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106891-106891
Closed Access | Times Cited: 18
Application of Advanced Deep Learning Models for Efficient Apple Defect Detection and Quality Grading in Agricultural Production
Xiaotong Gao, Songwei Li, Xiaotong Su, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1098-1098
Open Access | Times Cited: 3
Deep Learning for Image-Based Plant Growth Monitoring: A Review
Yin-Syuen Tong, Tou-Hong Lee, Kin Sam Yen
International Journal of Engineering and Technology Innovation (2022) Vol. 12, Iss. 3, pp. 225-246
Open Access | Times Cited: 13
Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision
Nikita Genze, Wouter K. Vahl, Jennifer Groth, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Predictive Algorithms for Smart Agriculture
Rashmi Sharma, Charu Pawar, Pranjali Sharma, et al.
Studies in big data (2024), pp. 61-80
Closed Access | Times Cited: 2
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