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:

Prediction and Screening Model for Products Based on Fusion Regression and XGBoost Classification
Jiaju Wu, Linggang Kong, Ming Yi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 17

Showing 17 citing articles:

Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry
Seema Yadav, Abhishek Singh, Rishika Singhal, et al.
Intelligent Pharmacy (2024) Vol. 2, Iss. 3, pp. 367-380
Open Access | Times Cited: 25

Spatial analysis and predictive modeling of energy poverty: insights for policy implementation
Sidique Gawusu, Seidu Abdulai Jamatutu, Xiao-Bing Zhang, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 10

Development of integrative data intelligence models for thermo-economic performances prediction of hybrid organic rankine plants
Tao Hai, Omer A. Alawi, Haslinda Mohamed Kamar, et al.
Energy (2024) Vol. 292, pp. 130503-130503
Closed Access | Times Cited: 8

Predictive Modeling of Energy Poverty with Machine Learning Ensembles: Strategic Insights from Socioeconomic Determinants for Effective Policy Implementation
Sidique Gawusu, Seidu Abdulai Jamatutu, Abubakari Ahmed
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 8

IMPLEMENTATION OF FEATURE IMPORTANCE XGBOOST ALGORITHM TO DETERMINE THE ACTIVE COMPOUNDS OF SEMBUNG LEAVES (BLUMEA BALSAMIFERA)
Kusnaeni Kusnaeni, Nurul Fuady Adhalia H., Abdul Khaliq Zulfattah
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2025) Vol. 19, Iss. 1, pp. 675-686
Open Access

Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review
Yuwen Pan, Shijia Kang, Linggang Kong, et al.
Artificial intelligence for engineering design analysis and manufacturing (2025) Vol. 39
Closed Access

Optimizing Solar Photovoltaic System Performance: Insights and Strategies for Enhanced Efficiency
Sidique Gawusu, Xiao-Bing Zhang, Sufyan Yakubu, et al.
Energy (2025), pp. 135099-135099
Closed Access

Electric Vehicle Lithium-Ion Battery Fault Diagnosis Based on Multi-Method Fusion of Big Data
Zhifu Wang, Wei Luo, Song Xu, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1120-1120
Open Access | Times Cited: 16

RUL Prediction for Lithium Batteries Using a Novel Ensemble Learning Method
Jiaju Wu, Linggang Kong, Zheng Cheng, et al.
Energy Reports (2022) Vol. 8, pp. 313-326
Open Access | Times Cited: 26

Double-head transformer neural network for molecular property prediction
Yuanbing Song, Jinghua Chen, Wenju Wang, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 11

Machine learning based prospect targeting: a case of gold occurrence in central parts of Tanzania, East Africa
Sidique Gawusu, Benatus Norbert Mvile, Mahamuda Abu, et al.
Ore and Energy Resource Geology (2024) Vol. 17, pp. 100065-100065
Closed Access | Times Cited: 2

Prediction of ADMET Properties of Anti-Breast Cancer Compounds Using Three Machine Learning Algorithms
Xinkang Li, Lijun Tang, Zeying Li, et al.
Molecules (2023) Vol. 28, Iss. 5, pp. 2326-2326
Open Access | Times Cited: 5

Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning
Shinya Sato, Syusuke Sano, Hiroki Muto, et al.
Chemical and Pharmaceutical Bulletin (2024) Vol. 72, Iss. 6, pp. 529-539
Open Access | Times Cited: 1

Enactment of Sales Forecasting Application using Artificial Intelligence Techniques
L Abhishek K, M. Niranjanamurthy, J. Ananda Babu, et al.
(2024), pp. 1-7
Closed Access

Enhancing precision in proton therapy: Utilizing machine learning for predicting Bragg curve peak location in cancer treatment
Tunç Aşuroğlu
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering (2024) Vol. 66, Iss. 2, pp. 140-161
Open Access

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