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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:

Decision Trees and Random Forests: Machine Learning Techniques to Classify Rare Events
Simon Hegelich
European Policy Analysis (2016) Vol. 2, Iss. 1, pp. 98-120
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Performance of deep learning vs machine learning in plant leaf disease detection
R. Sujatha, Jyotir Moy Chatterjee, N. Z. Jhanjhi, et al.
Microprocessors and Microsystems (2020) Vol. 80, pp. 103615-103615
Closed Access | Times Cited: 482
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
Pronab Ghosh, Sami Azam, Mirjam Jonkman, et al.
IEEE Access (2021) Vol. 9, pp. 19304-19326
Open Access | Times Cited: 429
A Comprehensive Survey for Intelligent Spam Email Detection
Asif Karim, Sami Azam, Bharanidharan Shanmugam, et al.
IEEE Access (2019) Vol. 7, pp. 168261-168295
Open Access | Times Cited: 198
Classification of EEG data for human mental state analysis using Random Forest Classifier
Damodar Reddy Edla, Kunal Mangalorekar, Gauri Dhavalikar, et al.
Procedia Computer Science (2018) Vol. 132, pp. 1523-1532
Open Access | Times Cited: 101
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: 12
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: 9
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 9
A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction
Md. Shazzad Hossain Shaon, Tasmin Karim, Shahriar Shakil, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100353-100353
Open Access | Times Cited: 8
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data
Leann Lac, Carson K. Leung, Pingzhao Hu
Journal of Biomedical Informatics (2024) Vol. 152, pp. 104629-104629
Open Access | Times Cited: 7
A new tool to predict lung cancer based on risk factors
Ahmad Ahmad, Ali Mayya
Heliyon (2020) Vol. 6, Iss. 2, pp. e03402-e03402
Open Access | Times Cited: 34
Integrating AI and climate change scenarios for multi-risk assessment in the coastal municipalities of the Veneto region
Maria Katherina Dal Barco, Margherita Maraschini, Ngoc Diep Nguyen, et al.
The Science of The Total Environment (2025) Vol. 965, pp. 178586-178586
Closed Access
State of Art Survey on Plant Leaf Disease Detection
Akey Sungheetha
Journal of Innovative Image Processing (2022) Vol. 4, Iss. 2, pp. 93-102
Open Access | Times Cited: 16
Qualitative and quantitative prediction of food allergen epitopes based on machine learning combined with in vitro experimental validation
Xin-Xin Yu, Mengqi Liu, Xiaoyan Li, et al.
Food Chemistry (2022) Vol. 405, pp. 134796-134796
Closed Access | Times Cited: 16
A machine learning approach to evaluate coastal risks related to extreme weather events in the Veneto region (Italy)
Maria Katherina Dal Barco, Margherita Maraschini, Davide Mauro Ferrario, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104526-104526
Open Access | Times Cited: 3
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
Identifying the roots of inequality of opportunity in South Korea by application of algorithmic approaches
Seungwoo Han
Humanities and Social Sciences Communications (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 11
A predictive analysis framework of heart disease using machine learning approaches
Shourav Molla, F. M. Javed Mehedi Shamrat, Raisul Islam Rafi, et al.
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 5, pp. 2705-2716
Open Access | Times Cited: 10
A system for automatic cardiac arrhythmia recognition using electrocardiogram signal
Allam Jaya Prakash, Samit Ari
Elsevier eBooks (2019), pp. 891-911
Closed Access | Times Cited: 15
Deep learning and punctuated equilibrium theory
Simon Hegelich
Cognitive Systems Research (2017) Vol. 45, pp. 59-69
Closed Access | Times Cited: 14
prediction of cardiovascular disease using machine learning techniques
Shaimaa Mohamed, M. Malhat, Gamal Elhady
IJCI International Journal of Computers and Information (2022)
Open Access | Times Cited: 8
Exploration of Cervical Myelopathy Location From Somatosensory Evoked Potentials Using Random Forests Classification
Hongyan Cui, Yazhou Wang, Guang-Sheng Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 11, pp. 2254-2262
Closed Access | Times Cited: 12
A Machine Learning Pipeline for Predicting Pinot Noir Wine Quality from Viticulture Data: Development and Implementation
Don Kulasiri, Sarawoot Somin, Samantha Kumara Pathirannahalage
Foods (2024) Vol. 13, Iss. 19, pp. 3091-3091
Open Access | Times Cited: 1
Property Prediction for Complex Compounds Using Structure-Free Mendeleev Encoding and Machine Learning
Zixin Zhuang, Amanda S. Barnard
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 1
An analysis of Koreans' attitudes towards migrants by application of algorithmic approaches
Seungwoo Han
Heliyon (2022) Vol. 8, Iss. 8, pp. e10087-e10087
Open Access | Times Cited: 6
Soil health analysis and fertilizer prediction for crop image identification by Inception-V3 and random forest
M. Meenakshi, R. Naresh
Remote Sensing Applications Society and Environment (2022) Vol. 28, pp. 100846-100846
Closed Access | Times Cited: 6
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