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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:

Eight years of AutoML: categorisation, review and trends
Rafael Barbudo, Sebastián Ventura, José Raúl Romero
Knowledge and Information Systems (2023) Vol. 65, Iss. 12, pp. 5097-5149
Open Access | Times Cited: 24

Showing 24 citing articles:

Automated machine learning: past, present and future
Mitra Baratchi, Can Wang, Steffen Limmer, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 15
Energy retrofitting of hospital buildings considering climate change: An approach integrating automated machine learning with NSGA-III for multi-objective optimization
Yuan Shi, Panfeng Chen
Energy and Buildings (2024) Vol. 319, pp. 114571-114571
Closed Access | Times Cited: 12
A Review of Machine Learning Techniques in Agroclimatic Studies
Dania Tamayo-Vera, Xiuquan Wang, Morteza Mesbah
Agriculture (2024) Vol. 14, Iss. 3, pp. 481-481
Open Access | Times Cited: 9
Avoiding common machine learning pitfalls
Michael A. Lones
Patterns (2024) Vol. 5, Iss. 10, pp. 101046-101046
Open Access | Times Cited: 5
Use of AutoML platform for prediction of interface shear strength of reinforced concrete push-off tests
TONY HABIB, Shakeel Ahmad Waseem, Fayaz A. Sofi
Australian Journal of Structural Engineering (2025), pp. 1-29
Closed Access
Revealing Key Factors of Heat-related Illnesses using Geospatial Explainable AI Model: A Case Study in Texas, USA
Ehsan Foroutan, Tao Hu, Ziqi Li
Sustainable Cities and Society (2025), pp. 106243-106243
Closed Access
Explaining quantum circuits with Shapley values: towards explainable quantum machine learning
Raoul Heese, Thore Gerlach, Sascha Mücke, et al.
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Open Access
Augmented intelligence with voice assistance and automated machine learning in Industry 5.0
Alexandros Bousdekis, Mina Foosherian, Mattheos Fikardos, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Predictive business process monitoring with AutoML for next activity prediction
Savvas Kaftantzis, Alexandros Bousdekis, Γεωργία Θεοδωροπούλου, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 1965-1980
Closed Access | Times Cited: 2
Making data classification more effective: An automated deep forest model
Jingwei Guo, Xiang Guo, Yihui Tian, et al.
Journal of Industrial Information Integration (2024) Vol. 42, pp. 100738-100738
Open Access | Times Cited: 2
Throughput Time Predictions Along the Order Fulfilment Process
Tobias Hiller, Tabea Marie Demke, Peter Nyhuis
IEEE Access (2024) Vol. 12, pp. 9705-9718
Open Access | Times Cited: 1
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
Rafael Barbudo, Aurora Ramírez, José Raúl Romero
Applied Soft Computing (2024) Vol. 153, pp. 111292-111292
Open Access
Non-expert AI Users Building Machine Learning Models: A Short Survey of AutoML Systems
Camilo Palazuelos, Rafael Duque, Cristina Tîrnăucă, et al.
(2024)
Open Access
Automated Machine Learning for Information Management and Information Systems: An Overvie
Eman Alduweib, Muhammad Abu Arqoub, Waseem Alromema
(2024), pp. 1-5
Closed Access
The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications
Alex A. Freitas
ACM SIGKDD Explorations Newsletter (2024) Vol. 26, Iss. 1, pp. 24-33
Open Access
FEATURES OF THE AUTOMATIC MACHINE LEARNING TOOLS IN THE TASKS OF FRACTOGRAPHIC ANALYSIS
Петр Алексеевич Болдырев, I. Z. Kaskinov
Vestnik komp iuternykh i informatsionnykh tekhnologii (2024), Iss. 238, pp. 3-9
Closed Access
Daily Streamflow Forecasting Using AutoML and Remote-Sensing-Estimated Rainfall Datasets in the Amazon Biomes
Matteo Bodini
Signals (2024) Vol. 5, Iss. 4, pp. 659-689
Open Access
Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images
Bogdan Ruszczak, Michał Myller, Łukasz Tulczyjew, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 695-698
Closed Access
Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications
Stefan Meisenbacher, Johannes Galenzowski, Kevin Förderer, et al.
Lecture notes in computer science (2024), pp. 277-297
Closed Access
A multivocal literature review on the benefits and limitations of industry-leading AutoML tools
Luigi Quaranta, Kelly Azevedo, Fabio Calefato, et al.
Information and Software Technology (2024), pp. 107608-107608
Closed Access
Experimental investigation and AutoML prediction of the resilient behaviour of coarse-grained waste rocks
Wenyu Xu, Shengpeng Hao, Zhenyu Zhang
Road Materials and Pavement Design (2024), pp. 1-25
Closed Access
Location, Size, and Capacity
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 1-152
Closed Access
Research on Multi-Scale Face Detection Methods Based on Data Augmentation
Tian Gao
(2024), pp. 716-720
Closed Access
Auto-FS-Cardiac: Optimizing ECG Heartbeat Classification with Automated Feature Selection using TPOT Template Framework
Hiba A. Othman, Qi Zhao, Lijiang Chen, et al.
(2023), pp. 179-185
Closed Access
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