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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:

Big data preprocessing: methods and prospects
Salvador García, Sergio Ramírez‐Gallego, Julián Luengo, et al.
Big Data Analytics (2016) Vol. 1, Iss. 1
Open Access | Times Cited: 561

Showing 1-25 of 561 citing articles:

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
Limin Sun, Zhiqiang Shang, Ye Xia, et al.
Journal of Structural Engineering (2020) Vol. 146, Iss. 5
Closed Access | Times Cited: 527
A survey on data preprocessing for data stream mining: Current status and future directions
Sergio Ramírez‐Gallego, Bartosz Krawczyk, Salvador García, et al.
Neurocomputing (2017) Vol. 239, pp. 39-57
Closed Access | Times Cited: 434
A feature learning approach based on XGBoost for driving assessment and risk prediction
Xiupeng Shi, Yiik Diew Wong, Michael Z.F. Li, et al.
Accident Analysis & Prevention (2019) Vol. 129, pp. 170-179
Closed Access | Times Cited: 254
Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques With Cyber-Physical System (CPS) Focus
Rahul Rai, Chandan K. Sahu
IEEE Access (2020) Vol. 8, pp. 71050-71073
Open Access | Times Cited: 216
Machine learning for streaming data
Heitor Murilo Gomes, Jesse Read, Albert Bifet, et al.
ACM SIGKDD Explorations Newsletter (2019) Vol. 21, Iss. 2, pp. 6-22
Closed Access | Times Cited: 200
On the class overlap problem in imbalanced data classification
Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski
Knowledge-Based Systems (2020) Vol. 212, pp. 106631-106631
Open Access | Times Cited: 194
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data
Isaac Triguero, Diego García‐Gil, Jesús Maillo, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 9, Iss. 2
Open Access | Times Cited: 188
Integrated structural health monitoring in bridge engineering
Zhiguo He, Wentao Li, Hadi Salehi, et al.
Automation in Construction (2022) Vol. 136, pp. 104168-104168
Closed Access | Times Cited: 179
Big data monetization throughout Big Data Value Chain: a comprehensive review
Abou Zakaria Faroukhi, Imane El Alaoui, Youssef Gahi, et al.
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 175
Latest trends on heart disease prediction using machine learning and image fusion
Manoj Diwakar, Amrendra Tripathi, Kapil Joshi, et al.
Materials Today Proceedings (2020) Vol. 37, pp. 3213-3218
Closed Access | Times Cited: 150
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 289-318
Open Access | Times Cited: 149
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering
Sami Ben Jabeur, Nicolae Stef, Pedro Carmona
Computational Economics (2022) Vol. 61, Iss. 2, pp. 715-741
Closed Access | Times Cited: 101
Artificial intelligence to bring nanomedicine to life
Nikita Serov, Vladimir V. Vinogradov
Advanced Drug Delivery Reviews (2022) Vol. 184, pp. 114194-114194
Closed Access | Times Cited: 88
Machine learning accelerates the materials discovery
Jiheng Fang, Ming Xie, Xingqun He, et al.
Materials Today Communications (2022) Vol. 33, pp. 104900-104900
Closed Access | Times Cited: 73
Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review
Fanidhar Dewangan, Almoataz Y. Abdelaziz, Monalisa Biswal
Energies (2023) Vol. 16, Iss. 3, pp. 1404-1404
Open Access | Times Cited: 72
Data-driven science and machine learning methods in laser–plasma physics
A. Döpp, Christoph Eberle, Sunny Howard, et al.
High Power Laser Science and Engineering (2023) Vol. 11
Open Access | Times Cited: 54
Towards big data driven construction industry
Fangyu Li, Yuanjun Laili, Xuqiang Chen, et al.
Journal of Industrial Information Integration (2023) Vol. 35, pp. 100483-100483
Closed Access | Times Cited: 51
Automated data processing and feature engineering for deep learning and big data applications: A survey
Alhassan Mumuni, Fuseini Mumuni
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 32
Let's Talk About EdTech! A Topic Modelling Analysis of AI Tools and Pre‐Service Teachers' Perspectives
Figen EĞİN, Aytuǧ Onan, Hatice Yıldız Durak
European Journal of Education (2025) Vol. 60, Iss. 1
Open Access | Times Cited: 1
On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics
Shengfeng Xu, Yuanjun Dai, Chang Yan, et al.
Journal of Computational Physics (2025), pp. 113837-113837
Closed Access | Times Cited: 1
Enabling Smart Data: Noise filtering in Big Data classification
Diego García‐Gil, Julián Luengo, Salvador García, et al.
Information Sciences (2018) Vol. 479, pp. 135-152
Open Access | Times Cited: 150
Big Data Quality: A Survey
Ikbal Taleb, Mohamed Adel Serhani, Rachida Dssouli
(2018), pp. 166-173
Closed Access | Times Cited: 85
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
Seifeddine Messaoud, Abbas Bradai, Syed Hashim Raza Bukhari, et al.
Internet of Things (2020) Vol. 12, pp. 100314-100314
Closed Access | Times Cited: 85
A holistic review on energy forecasting using big data and deep learning models
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 9, pp. 13489-13530
Open Access | Times Cited: 80
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7268-7268
Open Access | Times Cited: 62
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