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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:

Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning
Mingle Xu, Hyongsuk Kim, Jucheng Yang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 13

Showing 13 citing articles:

Deep learning for medicinal plant species classification and recognition: a systematic review
Adibaru Kiflie Mulugeta, Durga Prasad Sharma, Abebe Haile Mesfin
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 13
Advancements in smart agriculture: A systematic literature review on state‐of‐the‐art plant disease detection with computer vision
Esra Yılmaz, Sevim Ceylan Bocekci, Cengiz Şafak, et al.
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
Diffusion model-based image generative method for quality monitoring of direct grain harvesting
Shuohua Zhang, Lei Liu, Guorun Li, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110130-110130
Closed Access
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework
Ryosuke Wayama, Yuki Sasaki, Satoshi Kagiwada, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109021-109021
Open Access | Times Cited: 3
Plant disease recognition datasets in the age of deep learning: challenges and opportunities
Mingle Xu, Ji Eun Park, John J. Lee, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
A New Deep Learning-based Dynamic Paradigm Towards Open-World Plant Disease Detection
Jiuqing Dong, Alvaro Fuentes, Sook Yoon, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 5
An Offline Biotic Stress Recognition Tool for Rice Plants Through Domain Shift
Chiranjit Pal, Sanjay Chatterji, Sanjoy Pratihar
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
Local refinement mechanism for improved plant leaf segmentation in cluttered backgrounds
Ruihan Ma, Alvaro Fuentes, Sook Yoon, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 3
An iterative noisy annotation correction model for robust plant disease detection
Jiuqing Dong, Alvaro Fuentes, Sook Yoon, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 3
Known and unknown class recognition on plant species and diseases
Yao Meng, Mingle Xu, Hyongsuk Kim, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108408-108408
Closed Access | Times Cited: 3
Harnessing image processing for precision disease diagnosis in sugar beet agriculture
Varucha Misra, A. K. Mall
Crop Design (2024) Vol. 3, Iss. 4, pp. 100075-100075
Open Access
Enhancing One-Class Anomaly Detection in Unlabeled Datasets Through Unsupervised Data Refinement
Jiyan Salim Mahmud, Imre Lendák
(2024), pp. 000497-000502
Closed Access
A multimodal framework for pepper diseases and pests detection
Jun Liu, Xuewei Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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