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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:

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning
Junfeng Gao, Jesper Cairo Westergaard, Ea Høegh Riis Sundmark, et al.
Knowledge-Based Systems (2021) Vol. 214, pp. 106723-106723
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification
Jinzhu Lu, Lijuan Tan, Huanyu Jiang
Agriculture (2021) Vol. 11, Iss. 8, pp. 707-707
Open Access | Times Cited: 322
Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges
V. Parthasarathy, R. Santhosh, Rakesh Kumar Mahendran, et al.
Energies (2021) Vol. 15, Iss. 1, pp. 217-217
Open Access | Times Cited: 153
A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
L. G. Divyanth, Aanis Ahmad, Dharmendra Saraswat
Smart Agricultural Technology (2022) Vol. 3, pp. 100108-100108
Open Access | Times Cited: 73
Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic
Miaomiao Ji, Zhibin Wu
Computers and Electronics in Agriculture (2022) Vol. 193, pp. 106718-106718
Closed Access | Times Cited: 72
Recent advances in plant disease severity assessment using convolutional neural networks
Tingting Shi, Yongmin Liu, Xinying Zheng, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 43
Potato Blight: Deep Learning Model for Binary and Multi-Classification
Vinay Kukreja, Anupam Baliyan, Vikas Salonki, et al.
(2021), pp. 967-672
Closed Access | Times Cited: 74
Deep learning applications in manufacturing operations: a review of trends and ways forward
Saumyaranjan Sahoo, Satish Kumar, Mohammad Zoynul Abedin, et al.
Journal of Enterprise Information Management (2022) Vol. 36, Iss. 1, pp. 221-251
Closed Access | Times Cited: 53
Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery
Yue Shi, Liangxiu Han, Anthony Kleerekoper, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 396-396
Open Access | Times Cited: 49
Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition
Mingle Xu, Sook Yoon, Alvaro Fuentes, et al.
Frontiers in Plant Science (2022) Vol. 12
Open Access | Times Cited: 45
Plant Disease Diagnosis Using Deep Learning Based on Aerial Hyperspectral Images: A Review
Lukas Wiku Kuswidiyanto, Hyun Ho Noh, Xiongzhe Han
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 6031-6031
Open Access | Times Cited: 45
Advanced drone-based weed detection using feature-enriched deep learning approach
Mobeen Ur Rehman, Hassan Eesaar, Zeeshan Abbas, et al.
Knowledge-Based Systems (2024), pp. 112655-112655
Open Access | Times Cited: 10
Tea chrysanthemum detection under unstructured environments using the TC-YOLO model
Chao Qi, Junfeng Gao, Simon Pearson, et al.
Expert Systems with Applications (2021) Vol. 193, pp. 116473-116473
Open Access | Times Cited: 42
In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging
Chao Qi, Murilo Sandroni, Jesper Cairo Westergaard, et al.
Computers and Electronics in Agriculture (2022) Vol. 205, pp. 107585-107585
Open Access | Times Cited: 36
Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severity
Kaiyu Li, Lingxian Zhang, Bo Li, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 28
Quaternion convolutional neural networks for hyperspectral image classification
Heng Zhou, Xin Zhang, Chunlei Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106234-106234
Closed Access | Times Cited: 20
Fast prediction of diverse rare ginsenoside contents in Panax ginseng through hyperspectral imaging assisted with the temporal convolutional network-attention mechanism (TCNA) deep learning
Youyou Wang, Siman Wang, Yuwei Yuan, et al.
Food Control (2024) Vol. 162, pp. 110455-110455
Closed Access | Times Cited: 6
Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques
Yean‐Der Kuan, K. M. Goh, Lee‐Ling Lim
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110401-110401
Closed Access
Applications of Computer Vision on Automatic Potato Plant Disease Detection: A Systematic Literature Review
Natnael Tilahun Sinshaw, Beakal Gizachew Assefa, Sudhir Kumar Mohapatra, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 27
An Industrial-Grade Solution for Crop Disease Image Detection Tasks
Guowei Dai, Jingchao Fan
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 23
Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images
Junfeng Gao, Wenzhi Liao, David Nuyttens, et al.
Expert Systems with Applications (2023) Vol. 246, pp. 122980-122980
Open Access | Times Cited: 14
Potato Leaf Disease Classification Using Optimized Machine Learning Models and Feature Selection Techniques
Marwa Radwan, Amel Ali Alhussan, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Potato Research (2024)
Open Access | Times Cited: 4
MAIANet: Signal modulation in cassava leaf disease classification
Jiayu Zhang, Baohua Zhang, Chao Qi, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109351-109351
Closed Access | Times Cited: 4
Influence of Model Size and Image Augmentations on Object Detection in Low-Contrast Complex Background Scenes
Harman Singh Sangha, Matthew J. Darr
AI (2025) Vol. 6, Iss. 3, pp. 52-52
Open Access
Breeding of Solanaceous Crops Using AI: Machine Learning and Deep Learning Approaches—A Critical Review
Maria Gerakari, Anastasios Katsileros, Konstantina Kleftogianni, et al.
Agronomy (2025) Vol. 15, Iss. 3, pp. 757-757
Open Access
Land use/land cover classification using hyperspectral soil reflectance features in the Eastern Himalayas, India
Burhan U. Choudhury, L. G. Divyanth, Somsubhra Chakraborty
CATENA (2023) Vol. 229, pp. 107200-107200
Closed Access | Times Cited: 12
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