Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 22 citing articles:

Design and experiment of an adaptive cruise weeding robot for paddy fields based on improved YOLOv5
Jinyan Ju, Guoqing Chen, Zhenyang Lv, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108824-108824
Closed Access | Times Cited: 18
Genomic investigation of 18,421 lines reveals the genetic architecture of rice
Wei Xin, Mengjiao Chen, Q L Zhang, et al.
Science (2024) Vol. 385, Iss. 6704
Closed Access | Times Cited: 16
SGR-YOLO: a method for detecting seed germination rate in wild rice
Qiong Yao, Xiaoming Zheng, Guomin Zhou, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 7
YOLOv8-Peas: a lightweight drought tolerance method for peas based on seed germination vigor
Haoyu Jiang, Fei Hu, Xiuqing Fu, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 20
Lightweight Food Image Recognition With Global Shuffle Convolution
Guorui Sheng, Weiqing Min, T. Yao, et al.
IEEE Transactions on AgriFood Electronics (2024) Vol. 2, Iss. 2, pp. 392-402
Closed Access | Times Cited: 5
A tomato disease identification method based on leaf image automatic labeling algorithm and improved YOLOv5 model
Jiaping Jing, Shufei Li, Qiao Chen, et al.
Journal of the Science of Food and Agriculture (2023) Vol. 103, Iss. 14, pp. 7070-7082
Closed Access | Times Cited: 15
Soft X-ray image recognition and classification of maize seed cracks based on image enhancement and optimized YOLOv8 model
Siyu Chen, Yixuan Li, Yidong Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108475-108475
Closed Access | Times Cited: 14
Quality attributes of paddy rice during storage as affected by accumulated temperature
Qian Han, Yifan Chen, Xiuying Liu, et al.
Frontiers in Nutrition (2024) Vol. 10
Open Access | Times Cited: 4
Real-Time Detection of Varieties and Defects in Moving Corn Seeds Based on YOLO-SBWL
Yuhang Che, Hongyi Bai, Laijun Sun, et al.
Agriculture (2025) Vol. 15, Iss. 7, pp. 685-685
Open Access
Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network
Yaoyao Fan, Ting An, Qingyan Wang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 11
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
Recent advances in Transformer technology for agriculture: A comprehensive survey
Weijun Xie, M G Zhao, Ying Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109412-109412
Closed Access | Times Cited: 3
GC-IMS determination of volatile organic compounds as potential indicators of wheat germination rate
Yu Liu, Shuwei Ren, Qianqian Sun, et al.
Food Bioscience (2023) Vol. 57, pp. 103535-103535
Closed Access | Times Cited: 5
Noninvasive system for weight estimation in cactus crops: A YOLOv5-decision tree approach based on interval type-2 fuzzy sets
José L. Rodríguez-Álvarez, Jorge Luis García-Alcaráz, Rita Puig, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 245, pp. 105064-105064
Closed Access | Times Cited: 1
Fecal image-based starch digestibility estimation in fattening cattle using deep learning
Masaya Matamura, Hirotaka Naito, Yoshinari Morio, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109246-109246
Open Access | Times Cited: 1
CutGAN: dual-Branch generative adversarial network for paper-cut image generation
Yuan Liao, Lijun Yan, Zeyu Hou, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 55867-55888
Closed Access | Times Cited: 2
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.
Research Square (Research Square) (2024)
Open Access
RSG-YOLO: Detection of rice seed germination rate based on enhanced YOLOv8 and multi-scale attention feature fusion
H. J. Li, Longbao Liu, Qi Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Lipidomics reveals quality deterioration and fungal succession of rice under different humidity and brown rice rates
Ting Wang, Guoli Chang, Honghui Shi, et al.
LWT (2024) Vol. 206, pp. 116618-116618
Open Access
YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing
Jinfeng Zhao, Zeyu Hou, Qin Wang, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100599-100599
Open Access
RSG-YOLOV8: Detection of rice seed germination rate based on enhanced YOLOv8 and multi-scale attention feature fusion
H. J. Li, Longbao Liu, Qi Li, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0306436-e0306436
Open Access
Non-Destructive Detection of Single-Seed Viability in Maize Using Hyperspectral Imaging Technology and Multi-Scale 3d Convolutional Neural Network
Yaoyao Fan, Ting An, Qingyan Wang, et al.
(2023)
Closed Access
Page 1

Scroll to top