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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:

Advancing precision agriculture: The potential of deep learning for cereal plant head detection
Alireza Sanaeifar, Mahamed Lamine Guindo, Adel Bakhshipour, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107875-107875
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Cultivating a sustainable future in the artificial intelligence era: A comprehensive assessment of greenhouse gas emissions and removals in agriculture
Morteza SaberiKamarposhti, Kok-Why Ng, Mehdi Yadollahi, et al.
Environmental Research (2024) Vol. 250, pp. 118528-118528
Closed Access | Times Cited: 16
IoT-based agriculture management techniques for sustainable farming: A comprehensive review
Hammad Shahab, Muhammad Iqbal, Ahmed Sohaib, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108851-108851
Closed Access | Times Cited: 16
Convolutional Neural Network (CNN) Model for the Classification of Varieties of Date Palm Fruits (Phoenix dactylifera L.)
P. Rybacki, Janetta Niemann, Samir Derouiche, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 558-558
Open Access | Times Cited: 12
Integrating blockchain and deep learning for intelligent greenhouse control and traceability
Tarek Frikha, Jalel Ktari, Bechir Zalila, et al.
Alexandria Engineering Journal (2023) Vol. 79, pp. 259-273
Open Access | Times Cited: 20
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 7
Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control
Rui Hu, Wen‐Hao Su, Jiale Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109404-109404
Closed Access | Times Cited: 6
The effect of sustainable agricultural practices on crop productivity in Ethiopia: insights from a meta-analysis
Tadesse Tolera, Xiuguang Bai
Frontiers in Sustainable Food Systems (2025) Vol. 8
Open Access
Image-based classification of wheat spikes by glume pubescence using convolutional neural networks
N. V. Artemenko, М. А. Генаев, Rostislav Epifanov, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 5
SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots
Zhenyu Xing, Zhenguo Zhang, Yunze Wang, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 3
APW: An ensemble model for efficient wheat spike counting in unmanned aerial vehicle images
Zhaosheng Yao, Dingshun Zhang, Ting Tian, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109204-109204
Closed Access | Times Cited: 3
A deep learning-based approach for predicting oil production: A case study in the United States
Jian Du, Jianqin Zheng, Yongtu Liang, et al.
Energy (2023) Vol. 288, pp. 129688-129688
Closed Access | Times Cited: 8
Winter wheat ear counting based on improved YOLOv7x and Kalman filter tracking algorithm with video streaming
Xingmei Xu, Lei Zhou, Helong Yu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
Dynamic monitoring and counting for lotus flowers and seedpods with UAV based on improved YOLOv7-tiny
Ziwei Lyu, Yu Wang, Chenglong Huang, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109344-109344
Closed Access | Times Cited: 2
Sunflower-YOLO: Detection of sunflower capitula in UAV remote sensing images
Rui Jing, Qinglin Niu, Yuyu Tian, et al.
European Journal of Agronomy (2024) Vol. 160, pp. 127332-127332
Closed Access | Times Cited: 2
Diagnosis of Plant Leaf Disease using Vision Transformer
Ashik Sundaraj, Deva Priya Isravel, Julia Punitha Malar Dhas
(2024)
Closed Access | Times Cited: 1
A Point-Cloud Segmentation Network Based on SqueezeNet and Time Series for Plants
Xingshuo Peng, Keyuan Wang, Zelin Zhang, et al.
Journal of Imaging (2023) Vol. 9, Iss. 12, pp. 258-258
Open Access | Times Cited: 5
Convolutional neural network model for the qualitative evaluation of geometric shape of carrot root
P. Rybacki, Z. Sawińska, Miroslava Kačániová, et al.
Agricultural and Food Science (2024)
Open Access | Times Cited: 1
A Precise Plot-Level Rice Yield Prediction Method Based on Panicle Detection
Junshuo Wei, Xin Tian, Weiqi Ren, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1618-1618
Open Access | Times Cited: 1
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
CucumberAI: Cucumber fruit morphology identification system based on artificial intelligence
Wei Xue, Haifeng Ding, Jin Tao, et al.
Plant Phenomics (2024) Vol. 6
Open Access
ムギ類育種での画像センシングの活用に向けた穂の検出の試み
Haruki Nakamura, Goro Ishikawa, Jun‐ichi Yonemaru, et al.
Breeding Research (2024) Vol. 26, Iss. 1, pp. 5-16
Open Access
A Survey on Deep Learning Approaches for Crop Disease Analysis in Precision Agriculture
S. Praveen Kumar, Yunbo Rao
Turkish Journal of Computer and Mathematics Education (TURCOMAT). (2024) Vol. 15, Iss. 1, pp. 242-253
Open Access
Detection of rice panicle density for unmanned harvesters via RP-YOLO
Jingwei Sun, Jun Zhou, Yongqiang He, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109371-109371
Closed Access
From Fields to Pixels: UAV Multispectral and Field-Captured RGB Imaging for High-Throughput Wheat Spike and Kernel Counting
Ahmed Mohammed, Nisar Ali, Abdul Bais, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 17806-17819
Open Access
Predicting corn salad (Valerianella spp.) weight in a plant factory with artificial lighting (PFAL) using K-Nearest Neighbors algorithm (KNN)
S. Dhammayorddee, Charturong Chanseetis, Akihiko Kato, et al.
Acta Horticulturae (2024), Iss. 1404, pp. 1349-1352
Closed Access
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