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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:

Optimization for Machine Learning
Suvrit Sra, Sebastian Nowozin, Stephen J. Wright
The MIT Press eBooks (2011)
Open Access | Times Cited: 899

Showing 1-25 of 899 citing articles:

Machine learning: Trends, perspectives, and prospects
Michael I. Jordan, Tom M. Mitchell
Science (2015) Vol. 349, Iss. 6245, pp. 255-260
Closed Access | Times Cited: 7383
Optimization Methods for Large-Scale Machine Learning
Léon Bottou, Frank E. Curtis, Jorge Nocedal
SIAM Review (2018) Vol. 60, Iss. 2, pp. 223-311
Open Access | Times Cited: 2512
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
Jérôme Bolte, Shoham Sabach, Marc Teboulle
Mathematical Programming (2013) Vol. 146, Iss. 1-2, pp. 459-494
Closed Access | Times Cited: 1514
Deep learning for short-term traffic flow prediction
Nicholas G. Polson, Vadim Sokolov
Transportation Research Part C Emerging Technologies (2017) Vol. 79, pp. 1-17
Open Access | Times Cited: 900
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky, Tomer Doitshman, Yuval Elovici, et al.
(2018)
Open Access | Times Cited: 877
Recent advances in robust optimization: An overview
Virginie Gabrel, Cécile Murat, Aurélie Thiele
European Journal of Operational Research (2013) Vol. 235, Iss. 3, pp. 471-483
Closed Access | Times Cited: 779
Age and Gender Estimation of Unfiltered Faces
Eran Eidinger, Roee Enbar, Tal Hassner
IEEE Transactions on Information Forensics and Security (2014) Vol. 9, Iss. 12, pp. 2170-2179
Closed Access | Times Cited: 775
Robust and Efficient Subspace Segmentation via Least Squares Regression
Canyi Lu, Hai Min, Zhong‐Qiu Zhao, et al.
Lecture notes in computer science (2012), pp. 347-360
Closed Access | Times Cited: 633
All you need to know about model predictive control for buildings
Ján Drgoňa, Javier Arroyo, Iago Cupeiro Figueroa, et al.
Annual Reviews in Control (2020) Vol. 50, pp. 190-232
Open Access | Times Cited: 583
A variational perspective on accelerated methods in optimization
Andre Wibisono, Ashia C. Wilson, Michael I. Jordan
Proceedings of the National Academy of Sciences (2016) Vol. 113, Iss. 47
Open Access | Times Cited: 439
A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing
Mingyi Hong, Meisam Razaviyayn, Zhi‐Quan Luo, et al.
IEEE Signal Processing Magazine (2015) Vol. 33, Iss. 1, pp. 57-77
Closed Access | Times Cited: 421
Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems
Nikos Komodakis, Jean‐Christophe Pesquet
IEEE Signal Processing Magazine (2015) Vol. 32, Iss. 6, pp. 31-54
Open Access | Times Cited: 395
Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization
Saeed Ghadimi, Guanghui Lan, Hongchao Zhang
Mathematical Programming (2014) Vol. 155, Iss. 1-2, pp. 267-305
Closed Access | Times Cited: 383
Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction
Zhang Yunjun, Heresh Fattahi, Falk Amelung
Computers & Geosciences (2019) Vol. 133, pp. 104331-104331
Open Access | Times Cited: 379
Understanding adversarial training: Increasing local stability of supervised models through robust optimization
Uri Shaham, Yutaro Yamada, Sahand Negahban
Neurocomputing (2018) Vol. 307, pp. 195-204
Open Access | Times Cited: 366
BCILAB: a platform for brain–computer interface development
Christian Kothe, Scott Makeig
Journal of Neural Engineering (2013) Vol. 10, Iss. 5, pp. 056014-056014
Open Access | Times Cited: 362
Process data analytics in the era of big data
S. Joe Qin
AIChE Journal (2014) Vol. 60, Iss. 9, pp. 3092-3100
Closed Access | Times Cited: 358
Optimization Methods in Finance
Gérard Cornuéjols, Reha Tütüncü
(2006)
Open Access | Times Cited: 358
Robustness and generalization
Huan Xu, Shie Mannor
Machine Learning (2011) Vol. 86, Iss. 3, pp. 391-423
Open Access | Times Cited: 347
A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications
Heinz H. Bauschke, Jérôme Bolte, Marc Teboulle
Mathematics of Operations Research (2016) Vol. 42, Iss. 2, pp. 330-348
Open Access | Times Cited: 322
Analysis of classifiers’ robustness to adversarial perturbations
Alhussein Fawzi, Omar Fawzi, Pascal Frossard
Machine Learning (2017) Vol. 107, Iss. 3, pp. 481-508
Open Access | Times Cited: 306
Non-convex Optimization for Machine Learning
Prateek Jain, Purushottam Kar
Foundations and Trends® in Machine Learning (2017) Vol. 10, Iss. 3-4, pp. 142-336
Open Access | Times Cited: 305
The present and future of deep learning in radiology
Luca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, et al.
European Journal of Radiology (2019) Vol. 114, pp. 14-24
Open Access | Times Cited: 300
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick Meyer, et al.
European Journal of Operational Research (2021) Vol. 296, Iss. 2, pp. 393-422
Open Access | Times Cited: 288
Structured Learning and Prediction in Computer Vision
Sebastian Nowozin, Jasmin Lampert
(2010)
Closed Access | Times Cited: 264
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