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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:

Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies
Lei Li, Muhammad Adeel Hassan, Shurong Yang, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1303-1311
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Real-time detection and counting of wheat ears based on improved YOLOv7
Zanpeng Li, Yanjun Zhu, Shunshun Sui, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108670-108670
Closed Access | Times Cited: 17
Artificial intelligence in plant breeding
Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, et al.
Trends in Genetics (2024) Vol. 40, Iss. 10, pp. 891-908
Open Access | Times Cited: 15
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: 32
Detection method of wheat spike improved YOLOv5s based on the attention mechanism
Hecang Zang, Yanjing Wang, Linyuan Ru, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 36
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
Improved YOLO-FastestV2 wheat spike detection model based on a multi-stage attention mechanism with a LightFPN detection head
Shunhao Qing, Zhaomei Qiu, Weili Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5
Real-Time Detection and Counting of Wheat Spikes Based on Improved YOLOv10
Sitong Guan, Yiming Lin, Guoyu Lin, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1936-1936
Open Access | Times Cited: 5
Deep learning-empowered crop breeding: intelligent, efficient and promising
Xiaoding Wang, Haitao Zeng, Limei Lin, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 13
Fast and Precise Detection of Dense Soybean Seedlings Images Based on Airborne Edge Device
Zishang Yang, Jiawei Liu, Lele Wang, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 208-208
Open Access | Times Cited: 4
CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting
Yaoxi Li, Xingcai Wu, Qi Wang, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 4
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 | Times Cited: 3
Wheat spike localization and counting via hybrid UNet architectures
Amirhossein Zaji, Zheng Liu, Gaozhi Xiao, et al.
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107439-107439
Closed Access | Times Cited: 17
PlantBiCNet: A new paradigm in plant science with bi-directional cascade neural network for detection and counting
Jianxiong Ye, Zhenghong Yu, Yangxu Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107704-107704
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
Plant stress phenotyping: Current status and future prospects
Vishal Dinkar, Sayantan Sarkar, Saurabh Pandey, et al.
Advances in agronomy (2024), pp. 247-294
Closed Access | Times Cited: 2
Crop phenotyping studies with application to crop monitoring
Xiuliang Jin, Wanneng Yang, John H. Doonan, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1221-1223
Open Access | Times Cited: 10
A Novel Deep Learning-Based Model for Classification of Wheat Gene Expression
Amr Ismail, Walid Hamdy, Aya M. Al‐Zoghby, et al.
Computer Systems Science and Engineering (2024) Vol. 48, Iss. 2, pp. 273-285
Open Access | Times Cited: 1
Hyperspectral image classification using Walsh Hadamard transform- based key band selection and deep convolutional neural networks
G. G. Lakshmi Priya, Chandra Mouli, S. Domnic, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 4, pp. 1220-1249
Closed Access | Times Cited: 1
A density map-based method for counting wheat ears
Guangwei Zhang, Zhichao Wang, Бо Лю, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
CTHNet: a network for wheat ear counting with local-global features fusion based on hybrid architecture
Qingqing Hong, Wei Liu, Yuemin Zhu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Enhanced Wheat Head Detection in Images Using Fourier Domain Adaptation and Random Guided Filter
Sylvester C. Okafor, Linjing Wei, Solomon Boamah, et al.
Canadian Journal of Remote Sensing (2024) Vol. 50, Iss. 1
Open Access | Times Cited: 1
Automatic detection and counting of wheat spike based on DMseg-Count
Hecang Zang, Yilong Peng, Meng Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
FLTrans-Net: Transformer-based feature learning network for wheat head detection
Samia Nawaz Yousafzai, Inzamam Mashood Nasir, Sara Tehsin, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109706-109706
Closed Access | Times Cited: 1
A lightweight model based on YOLOv8n in wheat spike detection
Xuyang Ban, Pan Liu, Lei Xu, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Substation Personnel Smoking Detection Based On GhostNetV2-YOLOv5
Jishen Peng, Chang Wang, Yang Li, et al.
2022 5th International Symposium on Autonomous Systems (ISAS) (2023), pp. 1-6
Closed Access | Times Cited: 2
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