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:

Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models
Hoa Thi Pham, Joseph L. Awange, Michael Kühn
Sensors (2022) Vol. 22, Iss. 17, pp. 6609-6609
Open Access | Times Cited: 15

Showing 15 citing articles:

Data Mining and Machine Learning Algorithms for Optimizing Maize Yield Forecasting in Central Europe
Endre Harsányi, Bashar Bashir, Sana Arshad, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1297-1297
Open Access | Times Cited: 15

Dominance relation-based feature selection for interval-valued multi-label ordered information system
Yujie Qin, Guoping Lin, Yidong Lin, et al.
Expert Systems with Applications (2025), pp. 126898-126898
Closed Access

Temporal Changes in Mediterranean Pine Forest Biomass Using Synergy Models of ALOS PALSAR-Sentinel 1-Landsat 8 Sensors
Edward A. Velasco Pereira, Ma Ángeles Varo-Martínez, Francisco J. Ruíz-Gómez, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3430-3430
Open Access | Times Cited: 12

Harnessing artificial intelligence for predictive modelling in oral oncology: Opportunities, challenges, and clinical Perspectives
Vishnu Priya Veeraraghavan, Shikhar Daniel, Arun Kumar Dasari, et al.
Oral Oncology Reports (2024) Vol. 11, pp. 100591-100591
Open Access | Times Cited: 4

A Systematic Review on Crop Yield Prediction Using Machine Learning
Moon Halder, Ayon Datta, K. Siam, et al.
Lecture notes in networks and systems (2023), pp. 658-667
Closed Access | Times Cited: 6

A graph-based collaborative filtering algorithm combining implicit user preference and explicit time-related feedback
G. Suganeshwari, Syed Ibrahim Syed Ibrahim Peer Mohamed, Vijayan Sugumaran
Neural Computing and Applications (2023) Vol. 35, Iss. 36, pp. 25235-25247
Closed Access | Times Cited: 3

Hybrid Classification Model with Tuned Weights for Crop Yield Prediction
Venkata Rama Rao Kolipaka, Anupama Namburu
Wireless Personal Communications (2024)
Closed Access

Performance Evaluation of Machine Learning Algorithms in Reduced Dimensional Spaces
Venkata Atluri, Kaveh Heidary, Martin Bland
Journal of Cyber Security (2024) Vol. 6, Iss. 1, pp. 69-87
Open Access

Prediction of fetal brain gestational age using multihead attention with Xception
Mohd. Asif Hasan, Fariha Haque, Tonmoy Roy, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109155-109155
Open Access

Machine learning for sugarcane disease classification and prediction: A comprehensive survey
V. Umamaheswari, S. Kumaravel
AIP conference proceedings (2024) Vol. 3193, pp. 020279-020279
Closed Access

High-Throughput Phenotyping Enabled Rice Improvement
B. S. Harshitha, Aavula Naveen, H. A. Bhargavi, et al.
(2024), pp. 249-271
Closed Access

RD-Classifier: Reduced Dimensionality Classifier for Alzheimer’s Diagnosis Support System
Soualihou Ngnamsie Njimbouom, Gelany Aly Abdelkader, Candra Zonyfar, et al.
Lecture notes in computer science (2023), pp. 3-17
Closed Access | Times Cited: 1

Estimation of dam piezometric water level using new hybrid intelligent models for dam safety assessment
Yao Yevenyo Ziggah, Yakubu Issaka
International Journal of Energy and Water Resources (2023)
Closed Access

A Machine Learning-Based Approach for Meteorological Big Data Analysis to Improve Weather Forecast
Abderrahim El-Mhouti, Mohamed A. Fahim, Asmae Bahbah, et al.
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 863-874
Open Access

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