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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:

An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet
Yubao Deng, Haoran Xi, Guoxiong Zhou, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Identification of Rice Disease Under Complex Background Based on PSOC-DRCNet
Zewei Liu, Guoxiong Zhou, Wenke Zhu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123643-123643
Closed Access | Times Cited: 9
Rice disease segmentation method based on CBAM-CARAFE-DeepLabv3+
Wei Zeng, Mingfang He
Crop Protection (2024) Vol. 180, pp. 106665-106665
Closed Access | Times Cited: 9
StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust
Weizhen Liu, Yuxi Chen, Zhaoxin Lu, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 5
Modifiye-InceptionResNetV2 Mimarisi Kullanarak Domates Yaprak Koşullarının Etkili Tespiti
Pınar Uskaner Hepsağ
Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2025) Vol. 8, Iss. 1, pp. 375-392
Closed Access
MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions
Zili Chen, Yilong Peng, J. B. Jiao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A review on the recent developments in vision-based apple-harvesting robots for recognizing fruit and picking pose
Yong Zhang, Na Li, Lijie Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109968-109968
Closed Access
Efficient Triple Attention and AttentionMix: A Novel Network for Fine-Grained Crop Disease Classification
Yanqi Zhang, Ning Zhang, Jingbo Zhu, et al.
Agriculture (2025) Vol. 15, Iss. 3, pp. 313-313
Open Access
Intelligent contextual attention mechanism of region of interest based network model for leaf disease segmentation and classification
R. Sudhakar, R. Sivaraj, M. Vijayakumar
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107630-107630
Closed Access
FACNet: A high-precision pumpkin seedling point cloud organ segmentation method
Zerui Liu, Junhong Zhao, Yaowen Hu, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110049-110049
Closed Access
CBSNet: An Effective Method for Potato Leaf Disease Classification
Yongdong Chen, Wenfu Liu
Plants (2025) Vol. 14, Iss. 5, pp. 632-632
Open Access
Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review
Aritra Das, Fahad Pathan, Jamin Rahman Jim, et al.
Artificial Intelligence in Agriculture (2025) Vol. 15, Iss. 2, pp. 192-220
Open Access
Improving long-tailed pest classification using diffusion model-based data augmentation
Meng‐Ze Du, Fei Wang, Yu Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110244-110244
Closed Access
FFAE-UNet: An Efficient Pear Leaf Disease Segmentation Network Based on U-Shaped Architecture
Wenyu Wang, Jie Ding, Xin Shu, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1751-1751
Open Access
LVR: A language and vision fusion method for rice diseases segmentation under complex environment
Tianrui Zhao, Honglin Zhou, Miying Yan, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127599-127599
Closed Access
A Comparative Study of the Deep Learning Based Image Segmentation Techniques for Fruit Disease Detection
Manju Bagga, Sonali Goyal
Reviews in Agricultural Science (2025) Vol. 13, Iss. 1, pp. 81-104
Open Access
Tomato leaf disease recognition based on multi-task distillation learning
Bo Liu, Shusen Wei, Fan Zhang, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net
Hongliang Zhou, Hu Yu-fan, Shuai Liu, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 4
GS-DeepLabV3+: A Mountain Tea Disease Segmentation Network Based on Improved Shuffle Attention and Gated Multidimensional Feature Extraction
Hao Zhou, Yuting Peng, R. Y. Zhang, et al.
Crop Protection (2024) Vol. 183, pp. 106762-106762
Closed Access | Times Cited: 4
AISOA-SSformer: An effective image segmentation method for rice leaf disease based on Transformer architecture
Weisi Dai, Wenke Zhu, Guoxiong Zhou, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 4
RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss
Jianlong Wang, Junhao Jia, Yake Zhang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
PlanText: Gradually Masked Guidance to Align Image Phenotype with Trait Description for Plant Disease Texts
Kejun Zhao, Xingcai Wu, Yuanyuan Xiao, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 3
Identification of Pepper Leaf Diseases Based on TPSAO-AMWNet
Li Wan, Wenke Zhu, Yixi Dai, et al.
Plants (2024) Vol. 13, Iss. 11, pp. 1581-1581
Open Access | Times Cited: 2
A Multi-Modal Open Object Detection Model for Tomato Leaf Diseases with Strong Generalization Performance Using PDC-VLD
Jinyang Li, Fengting Zhao, Hongmin Zhao, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 2
"Semantic segmentation for plant leaf disease classification and damage detection: A deep learning approach"
Roshni Polly, E. Anna Devi
Smart Agricultural Technology (2024) Vol. 9, pp. 100526-100526
Open Access | Times Cited: 2
Auto-LIA: The Automated Vision-Based Leaf Inclination Angle Measurement System Improves Monitoring of Plant Physiology
Sijun Jiang, Xingcai Wu, Qi Wang, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 2
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