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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:

Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, et al.
Neurocomputing (2020) Vol. 417, pp. 302-321
Open Access | Times Cited: 200

Showing 1-25 of 200 citing articles:

Deep learning for monocular depth estimation: A review
Yue Ming, Xuyang Meng, Chunxiao Fan, et al.
Neurocomputing (2021) Vol. 438, pp. 14-33
Open Access | Times Cited: 290
Large-scale real-world radio signal recognition with deep learning
Ya Tu, Yun Lin, Haoran Zha, et al.
Chinese Journal of Aeronautics (2021) Vol. 35, Iss. 9, pp. 35-48
Closed Access | Times Cited: 165
A Survey on ensemble learning under the era of deep learning
Yongquan Yang, Haijun Lv, Ning Chen
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5545-5589
Closed Access | Times Cited: 149
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, et al.
IEEE Access (2020) Vol. 8, pp. 225134-225180
Open Access | Times Cited: 141
Survey on Machine Learning in Speech Emotion Recognition and Vision Systems Using a Recurrent Neural Network (RNN)
Satya Prakash Yadav, Subiya Zaidi, Annu Mishra, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1753-1770
Closed Access | Times Cited: 106
Survey of Deep Learning Paradigms for Speech Processing
Kishor Bhangale, Mohanaprasad Kothandaraman
Wireless Personal Communications (2022) Vol. 125, Iss. 2, pp. 1913-1949
Closed Access | Times Cited: 78
Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead
Vidya Kamath, A. Renuka
Neurocomputing (2023) Vol. 531, pp. 34-60
Closed Access | Times Cited: 60
Artificial intelligence for healthcare and medical education: a systematic review.
Sun Li, Changhao Yin, Qiuling Xu, et al.
PubMed (2023) Vol. 15, Iss. 7, pp. 4820-4828
Closed Access | Times Cited: 53
To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review
Ravid Shwartz Ziv, Yann LeCun
Entropy (2024) Vol. 26, Iss. 3, pp. 252-252
Open Access | Times Cited: 30
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, et al.
IEEE Access (2024) Vol. 12, pp. 41180-41218
Open Access | Times Cited: 28
Collective intelligence for deep learning: A survey of recent developments
David Ha, Yujin Tang
Collective Intelligence (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 46
Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes
Yiwei Cheng, Chao Wang, Jun Wu, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108507-108507
Closed Access | Times Cited: 41
A semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments
Pushpajit Khaire, Praveen Kumar
Forensic Science International Digital Investigation (2022) Vol. 40, pp. 301346-301346
Closed Access | Times Cited: 38
A comprehensive survey on automatic speech recognition using neural networks
Williamjeet Singh, Williamjeet Singh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23367-23412
Closed Access | Times Cited: 33
Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
Prashant Kumar, Salman Khalid, Heung Soo Kim
Mathematics (2023) Vol. 11, Iss. 13, pp. 3008-3008
Open Access | Times Cited: 24
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah, et al.
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 6, pp. 1-29
Open Access | Times Cited: 8
Technologies for Multimodal Interaction in Extended Reality—A Scoping Review
Ismo Rakkolainen, Ahmed Farooq, Jari Kangas, et al.
Multimodal Technologies and Interaction (2021) Vol. 5, Iss. 12, pp. 81-81
Open Access | Times Cited: 44
Federated Deep Learning for Heterogeneous Edge Computing
Khandaker Mamun Ahmed, Ahmed Imteaj, Morteza Amini
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021)
Closed Access | Times Cited: 41
Robot Cooking With Stir-Fry: Bimanual Non-Prehensile Manipulation of Semi-Fluid Objects
Junjia Liu, Yi-Ting Chen, Zhipeng Dong, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 5159-5166
Open Access | Times Cited: 37
District heating load prediction algorithm based on bidirectional long short-term memory network model
Mianshan Cui
Energy (2022) Vol. 254, pp. 124283-124283
Closed Access | Times Cited: 36
On quadrature rules for solving Partial Differential Equations using Neural Networks
Jon Ander Rivera, Jamie M. Taylor, Ángel Javier Omella, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 393, pp. 114710-114710
Open Access | Times Cited: 32
Efficient depthwise separable convolution accelerator for classification and UAV object detection
Guoqing Li, Jingwei Zhang, Meng Zhang, et al.
Neurocomputing (2022) Vol. 490, pp. 1-16
Closed Access | Times Cited: 30
Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu
Bilal Ahmed Chandio, Ali Shariq Imran, Maheen Bakhtyar, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3641-3641
Open Access | Times Cited: 30
A comprehensive survey on image captioning: from handcrafted to deep learning-based techniques, a taxonomy and open research issues
Himanshu Sharma, Devanand Padha
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13619-13661
Closed Access | Times Cited: 19
Using Machine-Learning Algorithms to Predict Soil Organic Carbon Content from Combined Remote Sensing Imagery and Laboratory Vis-NIR Spectral Datasets
Hayfa Zayani, Youssef Fouad, Didier Michot, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4264-4264
Open Access | Times Cited: 16
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