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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:

Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network
Gensheng Hu, Suqing Li, Mingzhu Wan, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107984-107984
Closed Access | Times Cited: 15

Showing 15 citing articles:

A lightweight tea bud detection model based on Yolov5
Zhiyong Gui, Jianneng Chen, Yang Li, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107636-107636
Closed Access | Times Cited: 60
CRFormer: Cross-Resolution Transformer for segmentation of grape leaf diseases with context mining
Xinxin Zhang, Chaojun Cen, Fei Li, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120324-120324
Closed Access | Times Cited: 16
Tea yield estimation using UAV images and deep learning
Shumao Wang, Cui-Ping Yu, Ma JunHui, et al.
Industrial Crops and Products (2024) Vol. 212, pp. 118358-118358
Closed Access | Times Cited: 6
Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases
Gensheng Hu, Min Fang
Sustainable Computing Informatics and Systems (2022) Vol. 35, pp. 100696-100696
Closed Access | Times Cited: 27
Tea Sprout Picking Point Identification Based on Improved DeepLabV3+
Chunyu Yan, Zhonghui Chen, Zhilin Li, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1594-1594
Open Access | Times Cited: 25
Mixed data augmentation and osprey search strategy for enhancing YOLO in tomato disease, pest, and weed detection
Jiewen Lin, Gui Hu, Jian Chen
Expert Systems with Applications (2024), pp. 125737-125737
Closed Access | Times Cited: 4
Local Reversible Transformer for semantic segmentation of grape leaf diseases
Xinxin Zhang, Fei Li, Haibin Jin, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110392-110392
Closed Access | Times Cited: 10
Small target tea bud detection based on improved YOLOv5 in complex background
Mengjie Wang, Yang Li, Hewei Meng, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
An improved DenseNet model to classify the damage caused by cotton aphid
Wenxia Bao, Tao Cheng, Xin‐Gen Zhou, et al.
Computers and Electronics in Agriculture (2022) Vol. 203, pp. 107485-107485
Closed Access | Times Cited: 15
Performance enhancement of kernelized SVM with deep learning features for tea leaf disease prediction
Monu Bhagat, Dilip Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 39117-39134
Closed Access | Times Cited: 7
Tea Bud Detection and 3D Pose Estimation in the Field with a Depth Camera Based on Improved YOLOv5 and the Optimal Pose-Vertices Search Method
Zhiwei Chen, Jianneng Chen, Yang Li, et al.
Agriculture (2023) Vol. 13, Iss. 7, pp. 1405-1405
Open Access | Times Cited: 6
Review of the application of in-situ sensing techniques to address the tea growth characteristics from leaf to field
Qiong Cao, Chunjiang Zhao, Ze Xu, et al.
International journal of agricultural and biological engineering (2024) Vol. 17, Iss. 1, pp. 1-11
Open Access | Times Cited: 1
SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN
Dian Liu, Yang Cao, Jing Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
TP-Transfiner: high-quality segmentation network for tea pest
R. Wu, Feng He, Ziyang Rong, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
CURRENT CHALLENGES, AND FUTURE OPPORTUNITIES FOR FERMENTED TEA LEAF SEGMENTATION, CLASSIFICATION, AND OPTIMIZATION
C.M. Sulaikha, Aditya Somasundaram
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 1
Closed Access
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