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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:

Machine learning and deep learning
Christian Janiesch, Patrick Zschech, Kai Heinrich
Electronic Markets (2021) Vol. 31, Iss. 3, pp. 685-695
Open Access | Times Cited: 1662

Showing 1-25 of 1662 citing articles:

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2022) Vol. 10, pp. 99129-99149
Open Access | Times Cited: 447
Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
Mohammad Mustafa Taye
Computers (2023) Vol. 12, Iss. 5, pp. 91-91
Open Access | Times Cited: 429
Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
Business & Information Systems Engineering (2023) Vol. 66, Iss. 1, pp. 111-126
Open Access | Times Cited: 270
Small data machine learning in materials science
Pengcheng Xu, Xiaobo Ji, Minjie Li, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 256
Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
Olga Tapalova, Nadezhda Zhiyenbayeva
The Electronic Journal of e-Learning (2022) Vol. 20, Iss. 5, pp. 639-653
Open Access | Times Cited: 243
Human Digital Twin in the context of Industry 5.0
Baicun Wang, Huiying Zhou, Xingyu Li, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102626-102626
Closed Access | Times Cited: 171
Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review
Paige Wenbin Tien, Shuangyu Wei, Jo Darkwa, et al.
Energy and AI (2022) Vol. 10, pp. 100198-100198
Open Access | Times Cited: 135
Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey
Sahalu Balarabe Junaid, Abdullahi Abubakar Imam, Abdullateef O. Balogun, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 1940-1940
Open Access | Times Cited: 131
Challenges of Deep Learning in Medical Image Analysis—Improving Explainability and Trust
Tribikram Dhar, Nilanjan Dey, Surekha Borra, et al.
IEEE Transactions on Technology and Society (2023) Vol. 4, Iss. 1, pp. 68-75
Open Access | Times Cited: 121
Future prospects of computer-aided design (CAD) – A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing
Bonsa Regassa Hunde, Abraham Debebe Woldeyohannes
Results in Engineering (2022) Vol. 14, pp. 100478-100478
Open Access | Times Cited: 112
UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images
Praful Hambarde, Subrahmanyam Murala, Abhinav Dhall
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 111
AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry
Lorenzo Belenguer
AI and Ethics (2022) Vol. 2, Iss. 4, pp. 771-787
Open Access | Times Cited: 110
Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare
Madhan Jeyaraman, Sangeetha Balaji, Naveen Jeyaraman, et al.
Cureus (2023)
Open Access | Times Cited: 109
On the use of artificial neural networks in topology optimisation
Rebekka V. Woldseth, Niels Aage, Jakob Andreas Bærentzen, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 10
Closed Access | Times Cited: 105
On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey
Houda Orchi, Mohamed Sadik, Mohammed Khaldoun
Agriculture (2021) Vol. 12, Iss. 1, pp. 9-9
Open Access | Times Cited: 104
Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
Bangfeng Wang, Yiwei Li, Mengfan Zhou, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 103
Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 101
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 98
Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances
Vijendra Kumar, Kul Vaibhav Sharma, Tommaso Caloiero, et al.
Hydrology (2023) Vol. 10, Iss. 7, pp. 141-141
Open Access | Times Cited: 96
Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
Patrick Weber, K. Valerie Carl, Oliver Hinz
Management Review Quarterly (2023) Vol. 74, Iss. 2, pp. 867-907
Open Access | Times Cited: 94
Machine Learning and Smart Devices for Diabetes Management: Systematic Review
Mohammed Amine Makroum, Mehdi Adda, Abdenour Bouzouane, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1843-1843
Open Access | Times Cited: 91
Smart Health
Yin Yang, Keng Siau, Wen Xie, et al.
Journal of Organizational and End User Computing (2022) Vol. 34, Iss. 1, pp. 1-14
Open Access | Times Cited: 83
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Lukas-Valentin Herm, Kai Heinrich, Jonas Wanner, et al.
International Journal of Information Management (2022) Vol. 69, pp. 102538-102538
Open Access | Times Cited: 82
Generative artificial intelligence
Leonardo Banh, Gero Strobel
Electronic Markets (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 79
A review of machine learning methods applied to structural dynamics and vibroacoustic
Barbara Zaparoli Cunha, Christophe Droz, Abdelmalek Zine, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110535-110535
Open Access | Times Cited: 71
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