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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:

Automated Machine Learning
Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
˜The œSpringer series on challenges in machine learning (2019)
Closed Access | Times Cited: 1024

Showing 1-25 of 1024 citing articles:

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon Kohl, et al.
Nature Methods (2020) Vol. 18, Iss. 2, pp. 203-211
Closed Access | Times Cited: 4861
Optuna
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, et al.
(2019), pp. 2623-2631
Closed Access | Times Cited: 3629
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 1294
Deep learning in optical metrology: a review
Chao Zuo, Jiaming Qian, Shijie Feng, et al.
Light Science & Applications (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 440
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
Sergio González, Salvador García, Javier Del Ser, et al.
Information Fusion (2020) Vol. 64, pp. 205-237
Closed Access | Times Cited: 396
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Bernd Bischl, Martin Binder, Michel Lang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 316
Proceedings of the Genetic and Evolutionary Computation Conference
André Biedenkapp, Nguyen Dang, Martin S. Krejca, et al.
(2022)
Open Access | Times Cited: 305
The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting
Enrico Camporeale
Space Weather (2019) Vol. 17, Iss. 8, pp. 1166-1207
Open Access | Times Cited: 305
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
Jared Willard, Xiaowei Jia, Shaoming Xu, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-37
Open Access | Times Cited: 297
Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges
Abdulaziz Aldoseri, Khalifa N. Al‐Khalifa, A.M.S. Hamouda
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7082-7082
Open Access | Times Cited: 267
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence
Zeynep Akata, Dan Balliet, Maarten de Rijke, et al.
Computer (2020) Vol. 53, Iss. 8, pp. 18-28
Open Access | Times Cited: 252
A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation
Hamid Laga, Laurent Valentin Jospin, Farid Boussaïd, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 44, Iss. 4, pp. 1738-1764
Open Access | Times Cited: 223
AI for social good: unlocking the opportunity for positive impact
Nenad Tomašev, Julien Cornebise, Frank Hutter, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 222
Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review
Jason Runge, Radu Zmeureanu
Energies (2019) Vol. 12, Iss. 17, pp. 3254-3254
Open Access | Times Cited: 209
Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach
Waqas Khan, Shalika Walker, Wim Zeiler
Energy (2021) Vol. 240, pp. 122812-122812
Open Access | Times Cited: 209
Automatic X-ray COVID-19 Lung Image Classification System based on Multi-Level Thresholding and Support Vector Machine
Lamia Nabil Mahdy, Kadry Ali Ezzat, Haytham H. Elmousalami, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 160
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting
Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski
Journal of Hydrology (2021) Vol. 598, pp. 126196-126196
Closed Access | Times Cited: 153
Attack classification of an intrusion detection system using deep learning and hyperparameter optimization
Yesi Novaria Kunang, Siti Nurmaini, Deris Stiawan, et al.
Journal of Information Security and Applications (2021) Vol. 58, pp. 102804-102804
Closed Access | Times Cited: 150
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer, Thanh Binh Bui, Christian Drescher, et al.
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 2, pp. 392-413
Open Access | Times Cited: 149
Machine learning for hydrologic sciences: An introductory overview
Tianfang Xu, Feng Liang
Wiley Interdisciplinary Reviews Water (2021) Vol. 8, Iss. 5
Closed Access | Times Cited: 148
Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
Lucas Zimmer, Marius Lindauer, Frank Hutter
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 43, Iss. 9, pp. 3079-3090
Closed Access | Times Cited: 146
A Benchmark for Data Imputation Methods
Sebastian Jäger, Arndt Allhorn, Felix Bießmann
Frontiers in Big Data (2021) Vol. 4
Open Access | Times Cited: 127
Artificial intelligence in product lifecycle management
Lei Wang, Zhengchao Liu, Ang Liu, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 114, Iss. 3-4, pp. 771-796
Closed Access | Times Cited: 126
A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction
Babak Alizadeh, Alireza Ghaderi Bafti, Hamid Kamangir, et al.
Journal of Hydrology (2021) Vol. 601, pp. 126526-126526
Closed Access | Times Cited: 126
Applications of artificial intelligence in cardiovascular imaging
Maxime Sermesant, Hervé Delingette, Hubert Cochet, et al.
Nature Reviews Cardiology (2021) Vol. 18, Iss. 8, pp. 600-609
Closed Access | Times Cited: 119
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