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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:

Investigating the impact of data normalization on classification performance
Dalwinder Singh, Birmohan Singh
Applied Soft Computing (2019) Vol. 97, pp. 105524-105524
Closed Access | Times Cited: 1130

Showing 1-25 of 1130 citing articles:

Learning to Recover 3D Scene Shape from a Single Image
Wei Yin, Jianming Zhang, Oliver Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 143
Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer
Nosayba Al‐Azzam, Ibrahem Shatnawi
Annals of Medicine and Surgery (2021) Vol. 62, pp. 53-64
Open Access | Times Cited: 116
Machine learning and remote sensing techniques applied to estimate soil indicators – Review
Freddy Alexander Díaz González, José Vuelvas, Carlos Adrián Correa-Flórez, et al.
Ecological Indicators (2021) Vol. 135, pp. 108517-108517
Open Access | Times Cited: 115
An improved transformer network for skin cancer classification
Chao Xin, Zhifang Liu, Keyu Zhao, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105939-105939
Open Access | Times Cited: 111
ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
Qasem Abu Al‐Haija, Muawya N. Al Dalaien
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 1, pp. 18-18
Open Access | Times Cited: 97
Deep learning techniques for liver and liver tumor segmentation: A review
Sidra Gul, Muhammad Salman Khan, Asima Bibi, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105620-105620
Closed Access | Times Cited: 96
The choice of scaling technique matters for classification performance
Lucas Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz
Applied Soft Computing (2022) Vol. 133, pp. 109924-109924
Open Access | Times Cited: 95
Urban resilience and livability performance of European smart cities: A novel machine learning approach
Adeeb A. Kutty, Tadesse G. Wakjira, Murat Küçükvar, et al.
Journal of Cleaner Production (2022) Vol. 378, pp. 134203-134203
Open Access | Times Cited: 92
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
Tarek Berghout, Mohamed Benbouzid, S. M. Muyeen
International Journal of Critical Infrastructure Protection (2022) Vol. 38, pp. 100547-100547
Open Access | Times Cited: 75
Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis
A. L. Achu, C. D. Aju, Mariano Di Napoli, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101657-101657
Open Access | Times Cited: 52
Recent applications of machine learning in alloy design: A review
Mingwei Hu, Qiyang Tan, Ruth Knibbe, et al.
Materials Science and Engineering R Reports (2023) Vol. 155, pp. 100746-100746
Closed Access | Times Cited: 51
Robustness of machine learning to color, size change, normalization, and image enhancement on micrograph datasets with large sample differences
Xiaolong Pei, Yuhong Zhao, Liwen Chen, et al.
Materials & Design (2023) Vol. 232, pp. 112086-112086
Open Access | Times Cited: 46
Image encoding selection based on Pearson correlation coefficient for time series anomaly detection
Helmy Rahadian, Steven Bandong, Augie Widyotriatmo, et al.
Alexandria Engineering Journal (2023) Vol. 82, pp. 304-322
Open Access | Times Cited: 42
Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
G. Mostafa, Hamdi A. Mahmoud, Tarek Abd El‐Hafeez, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 37
Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems
Yuantao Yao, Te Han, Jie Yu, et al.
Energy (2024) Vol. 291, pp. 130419-130419
Closed Access | Times Cited: 24
Air Quality Class Prediction Using Machine Learning Methods Based on Monitoring Data and Secondary Modeling
Qian Liu, Bingyan Cui, Zhen Liu
Atmosphere (2024) Vol. 15, Iss. 5, pp. 553-553
Open Access | Times Cited: 20
An interpretable framework for modeling global solar radiation using tree-based ensemble machine learning and Shapley additive explanations methods
Zhe Song, Sunliang Cao, Hongxing Yang
Applied Energy (2024) Vol. 364, pp. 123238-123238
Closed Access | Times Cited: 18
Investigating the Impact of Data Normalization Methods on Predicting Electricity Consumption in a Building Using different Artificial Neural Network Models.
Yang‐Seon Kim, Moon Keun Kim, Nuodi Fu, et al.
Sustainable Cities and Society (2024), pp. 105570-105570
Open Access | Times Cited: 16
The effect of feature normalization methods in radiomics
Aydın Demircioğlu
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density
Shunli Zhao, Bin Jiang, Kaikai Song, et al.
Materials & Design (2024) Vol. 238, pp. 112634-112634
Open Access | Times Cited: 15
Predicting Gross Domestic Product (GDP) using a PC-LSTM-RNN model in urban profiling areas
Mahmoud Y. Shams, Zahraa Tarek, El-Sayed M. El-kenawy, et al.
Computational Urban Science (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 14
CSR from different perspectives: The global ESG indexes updated
Ping‐Chuan Jiang, Gen‐Fu Feng, Hai‐Jie Wang, et al.
Corporate Social Responsibility and Environmental Management (2024) Vol. 31, Iss. 5, pp. 4694-4714
Closed Access | Times Cited: 14
A Systematic Comparative Study on the use of Machine Learning Techniques to Predict Lung Cancer and its Metastasis to the Liver: LCLM-Predictor Model
Shajeni Justin, Tamil Selvan
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Predictive modeling of reservoir geomechanical parameters through computational intelligence approach, integrating core and well logging data
Sayed Muhammad Iqbal, Jianmin Li, Junxiu Ma, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Hippocampal neuronal activity is aligned with action plans
Ipshita Zutshi, Athina Apostolelli, Wannan Yang, et al.
Nature (2025) Vol. 639, Iss. 8053, pp. 153-161
Open Access | Times Cited: 1
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