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:

Date Fruit Classification with Machine Learning and Explainable Artificial Intelligence
Md. Sahidullah, Nasim Mahmud Nayan, Md. Samin Morshed, et al.
International Journal of Computer Applications (2023) Vol. 184, Iss. 50, pp. 1-5
Open Access | Times Cited: 7

Showing 7 citing articles:

A Medical Cyber-physical system for predicting maternal health in developing countries using machine learning
Mohammad Mobarak Hossain, Mohammod Abdul Kashem, Nasim Mahmud Nayan, et al.
Healthcare Analytics (2023) Vol. 5, pp. 100285-100285
Open Access | Times Cited: 20

Agriculture 5.0 and Explainable AI for Smart Agriculture: A Scoping Review
Abdul Razak, Sumendra Yogarayan, Md Shohel Sayeed, et al.
Emerging Science Journal (2024) Vol. 8, Iss. 2, pp. 744-760
Open Access | Times Cited: 5

Innovative Date Fruit Classifier Based on Scatter Wavelet and Stacking Ensemble
Ali A. Al-Kharaz, Ahmed Bahaaulddin A. Alwahhab, Vian Sabeeh
HighTech and Innovation Journal (2024) Vol. 5, Iss. 2, pp. 361-381
Open Access | Times Cited: 1

Identification of Turmeric Rhizomes Using Image Processing and Machine Learning
Shubhangi B. Patil, G. A. Patil
(2023), pp. 34-34
Open Access | Times Cited: 2

Unveiling Predictive Factors in Apple Quality: Leveraging LIME, SHAP, and the Synergy of Machine Learning Models and Artificial Neural Networks
Rituparna Chowdhury, Rudra Das, Fowzia Binta Faruk Ananna, et al.
(2024), pp. 1026-1031
Closed Access

Artificial Intelligence-Driven Approach for Predicting Maternal Health Risk Factors
Mohammad Mobarak Hosaain, Mohammod Abdul Kashem, Nasim Mahmud Nayan
(2024), pp. 153-158
Closed Access

MobileNetV2: A Proficient Convolutional Neural Network for the Classification of Date Fruits into Genetic Varieties
Sajid Faysal Fahim, Fahmida Afrose Dipti, Zareen Tasnim Nishat, et al.
Communications in computer and information science (2024), pp. 116-129
Closed Access

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