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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:

Deep learning-based instance segmentation architectures in agriculture: A review of the scopes and challenges
Christos Charisis, Dimitrios Argyropoulos
Smart Agricultural Technology (2024) Vol. 8, pp. 100448-100448
Open Access | Times Cited: 9

Showing 9 citing articles:

Mdlis: An Integrated Model- and Data-Driven Method for Low-Light Instance Segmentation
Yi Zhang, Jichang Guo, Huihui Yue, et al.
(2025)
Closed Access
Deep learning in multi-sensor agriculture and crop management
Darwin Alexis Arrechea-Castillo, Yady Tatiana Solano‐Correa
Elsevier eBooks (2025), pp. 335-379
Closed Access
Dynamic mutual training semi-supervised semantic segmentation algorithm with adaptive capability (AD-DMT) for choy sum stem segmentation and 3D positioning of cutting points
Kai Yuan, Qian Wang, Zuoxi Zhao, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110105-110105
Closed Access
Integration of convolutional neural networks with parcel-based image analysis for crop type mapping from time-series images
Müslüm Altun, Mustafa TÜRKER
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
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
Exploring Nutrient Deficiencies in Lettuce Crops: Utilizing Advanced Multidimensional Image Analysis for Precision Diagnosis
Xie Ji-long, Shanshan Lv, Xihai Zhang, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 1957-1957
Open Access
BHI-YOLO: A Lightweight Instance Segmentation Model for Strawberry Diseases
Haipeng Hu, Mingxia Chen, Luobin Huang, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9819-9819
Open Access | Times Cited: 2
Advanced segmentation models for automated capsicum peduncle detection in night-time greenhouse environments
Ayan Paul, Rajendra Machavaram
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
CabbageNet: Deep Learning for High-Precision Cabbage Segmentation in Complex Settings for Autonomous Harvesting Robotics
Yongqiang Tian, Xinyu Cao, Taihong Zhang, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8115-8115
Open Access | Times Cited: 1
An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation
David Ahmedt‐Aristizabal, Daniel Smith, Muhammad Rizwan Khokher, et al.
IEEE Access (2024) Vol. 12, pp. 102146-102166
Open Access
Feature area size prediction method of spherical fruit based on projection transformation
Bohan Huang, Long Xue, Chaoyang Yin, et al.
Journal of Food Process Engineering (2024) Vol. 47, Iss. 9
Closed Access
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