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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:

Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Mahmoud Y. Shams, Samah A. Gamel, Fatma M. Talaat
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5695-5714
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Towards sustainable agriculture: Harnessing AI for global food security
Dhananjay K. Pandey, Richa Mishra
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 72-84
Open Access | Times Cited: 31
Interpretability Research of Deep Learning: A Literature Survey
Biao Xu, Guanci Yang
Information Fusion (2024) Vol. 115, pp. 102721-102721
Closed Access | Times Cited: 12
A Decision Support System for Crop Recommendation Using Machine Learning Classification Algorithms
Murali Krishna Senapaty, Abhishek Ray, Neelamadhab Padhy
Agriculture (2024) Vol. 14, Iss. 8, pp. 1256-1256
Open Access | Times Cited: 10
Streamlit-based enhancing crop recommendation systems with advanced explainable artificial intelligence for smart farming
Yaganteeswarudu Akkem, Saroj Kumar Biswas, Aruna Varanasi
Neural Computing and Applications (2024) Vol. 36, Iss. 32, pp. 20011-20025
Closed Access | Times Cited: 9
Challenges in Achieving Artificial Intelligence in Agriculture
Anjana J. Atapattu, L. Perera, Tharindu D. Nuwarapaksha, et al.
(2024), pp. 7-34
Closed Access | Times Cited: 8
Artificial Intelligence Tools for the Agriculture Value Chain: Status and Prospects
Fotis Assimakopoulos, Costas Vassilakis, Dionisis Margaris, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4362-4362
Open Access | Times Cited: 5
Customization of health insurance premiums using machine learning and explainable AI
Manohar Kapse, Vinod Sharma, Rutuj Vidhale, et al.
International Journal of Information Management Data Insights (2025) Vol. 5, Iss. 1, pp. 100328-100328
Closed Access
A Multi‐Objective Decision‐Making Neural Network: Effective Structure and Learning Method
Shu‐Rong Yan, Mohadeseh Nadershahi, Wei Guo, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 4-5
Open Access
DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases
Fatma M. Talaat, Mahmoud Y. Shams, Samah A. Gamel, et al.
Neural Computing and Applications (2025)
Open Access
Incorporating soil information with machine learning for crop recommendation to improve agricultural output
H. M. Rehan Afzal, Madiha Amjad, Ali Raza, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
AI technologies shaping the future of the cocoa industry from farm to fork: a comprehensive review
Hemasri Senthil, Madhura Janve
Food Science and Biotechnology (2025)
Closed Access
Empowering Precise Crop Recommendation System by Accompanying Tree Covariance Matrix-Parallel Random Forest Classifier
R. Umamaheswari, E. Kannan
International Research Journal of Multidisciplinary Technovation (2025), pp. 50-59
Open Access
Stacked Ensemble Model for Accurate Crop Yield Prediction Using Machine Learning Techniques
V. Ramesh, P. Kumaresan
Environmental Research Communications (2025) Vol. 7, Iss. 3, pp. 035006-035006
Open Access
AI and Machine Learning for Optimal Crop Yield Optimization in the USA
MD Rokibul Hasan
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 2, pp. 48-61
Open Access | Times Cited: 3
YOLOv7-Based Intelligent Weed Detection and Laser Weeding System Research: Targeting Veronica didyma in Winter Rapeseed Fields
Liming Qin, Xu Zheng, Wenhao Wang, et al.
Agriculture (2024) Vol. 14, Iss. 6, pp. 910-910
Open Access | Times Cited: 3
AI-Optimized Irrigation for Sustainable Agriculture
Mansoor Hussain, N. Karthikeyan, Ipsit Maurya, et al.
(2024), pp. 01-09
Closed Access | Times Cited: 2
Farm-Level Smart Crop Recommendation Framework Using Machine Learning
Amit Bhola, Prabhat Kumar
Annals of Data Science (2024) Vol. 12, Iss. 1, pp. 117-140
Closed Access | Times Cited: 2
Paddy Leaf Disease Classification Using EfficientNet B4 With Compound Scaling and Swish Activation: A Deep Learning Approach
Jagamohan Padhi, Laxminarayana Korada, Ashis Das, et al.
IEEE Access (2024) Vol. 12, pp. 126426-126437
Open Access | Times Cited: 2
Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review
Soo Been Cho, Hidayat Mohamad Soleh, Ji Won Choi, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6313-6313
Open Access | Times Cited: 1
Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review
Charles Matyukira, Paidamwoyo Mhangara
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 1
Machine Learning Based Crop Recommendation System
Arpit Deo, Kailash Chandra Bandhu, Ratnesh Litoriya, et al.
(2024), pp. 1-9
Closed Access | Times Cited: 1
Transforming Ophthalmic Care: The Role of AI in Accurate Eye Disease Classification EDC
Samah A. Gamel, Iman Alansari, Safa’a S. Saleh, et al.
(2024), pp. 260-269
Closed Access
IoT-Enabled Machine Learning-Based Smart and Sustainable Agriculture
Vivek Patel, Swati Gautam, Vijayshri Chaurasia, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 176-200
Closed Access
Survey on Optimal Crop Prediction using Soil and Weather Analysis
N Manjunath, S S Bharatkumar, R B Spoorthi, et al.
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 352-355
Open Access
Opportunities to improve the recommendation of plant varieties under the Recommended List (RL) system
Chin Jian Yang, Joanne Russell, Ian Mackay, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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