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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:

A State-of-the-Art Survey on Deep Learning Theory and Architectures
Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, et al.
Electronics (2019) Vol. 8, Iss. 3, pp. 292-292
Open Access | Times Cited: 1369

Showing 1-25 of 1369 citing articles:

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 4693
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, et al.
Journal of Scientific Computing (2022) Vol. 92, Iss. 3
Open Access | Times Cited: 994
Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
Vasit Sagan, Kyle T. Peterson, Maitiniyazi Maimaitijiang, et al.
Earth-Science Reviews (2020) Vol. 205, pp. 103187-103187
Open Access | Times Cited: 450
A survey of deep learning techniques for weed detection from images
A S M Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen, et al.
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106067-106067
Open Access | Times Cited: 339
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, et al.
Frontiers in Neurorobotics (2020) Vol. 14
Open Access | Times Cited: 335
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 320
Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh, Shefa A. Dawwd, Jassim M. Abdul-Jabbar
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102172-102172
Closed Access | Times Cited: 308
Rational Design of Semiconductor‐Based Chemiresistors and their Libraries for Next‐Generation Artificial Olfaction
Seong‐Yong Jeong, Jun‐Sik Kim, Jong‐Heun Lee
Advanced Materials (2020) Vol. 32, Iss. 51
Open Access | Times Cited: 294
Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting
Renzhuo Wan, Shuping Mei, Jun Wang, et al.
Electronics (2019) Vol. 8, Iss. 8, pp. 876-876
Open Access | Times Cited: 287
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam, Fakhri Karray, Reda Alhajj, et al.
IEEE Access (2021) Vol. 9, pp. 30551-30572
Open Access | Times Cited: 267
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
Mengqi Huang, Jelena Ninić, Qianbing Zhang
Tunnelling and Underground Space Technology (2020) Vol. 108, pp. 103677-103677
Open Access | Times Cited: 266
Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
Haoxin Mai, Tu C. Le, Dehong Chen, et al.
Chemical Reviews (2022) Vol. 122, Iss. 16, pp. 13478-13515
Closed Access | Times Cited: 258
Deep learning for classification and severity estimation of coffee leaf biotic stress
José G. M. Esgario, Renato A. Krohling, José Aires Ventura
Computers and Electronics in Agriculture (2020) Vol. 169, pp. 105162-105162
Open Access | Times Cited: 255
Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 15, pp. 968-999
Open Access | Times Cited: 241
Plant diseases recognition on images using convolutional neural networks: A systematic review
André Abade, Paulo Afonso Ferreira, Flávio de Barros Vidal
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106125-106125
Open Access | Times Cited: 215
Facial Emotion Recognition Using Transfer Learning in the Deep CNN
M. A. H. Akhand, Shuvendu Roy, Nazmul Siddique, et al.
Electronics (2021) Vol. 10, Iss. 9, pp. 1036-1036
Open Access | Times Cited: 212
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data
Laith Alzubaidi, Muthana Al‐Amidie, Ahmed Al‐Asadi, et al.
Cancers (2021) Vol. 13, Iss. 7, pp. 1590-1590
Open Access | Times Cited: 208
Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0
Javier Villalba-Díez, Daniel Schmidt, Roman Gevers, et al.
Sensors (2019) Vol. 19, Iss. 18, pp. 3987-3987
Open Access | Times Cited: 197
Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
Étienne David, Simon Madec, Pouria Sadeghi‐Tehran, et al.
Plant Phenomics (2020) Vol. 2020
Open Access | Times Cited: 193
Generative Adversarial Networks and Its Applications in Biomedical Informatics
Lan Lan, Lei You, Zeyang Zhang, et al.
Frontiers in Public Health (2020) Vol. 8
Open Access | Times Cited: 188
Deep Learning Algorithms for Cybersecurity Applications: A Technological and Status Review
Priyanka Dixit, Sanjay Silakari
Computer Science Review (2020) Vol. 39, pp. 100317-100317
Closed Access | Times Cited: 178
Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion
Reem Ibrahim Hasan, Suhaila M. Yusuf, Laith Alzubaidi
Plants (2020) Vol. 9, Iss. 10, pp. 1302-1302
Open Access | Times Cited: 175
MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey
Nagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Sensors (2020) Vol. 20, Iss. 11, pp. 3243-3243
Open Access | Times Cited: 172
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Nusrat Mohi Ud Din, Rayees Ahmad Dar, Muzafar Rasool, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106073-106073
Closed Access | Times Cited: 172
Estimation of daily maize transpiration using support vector machines, extreme gradient boosting, artificial and deep neural networks models
Junliang Fan, Jing Zheng, Lifeng Wu, et al.
Agricultural Water Management (2020) Vol. 245, pp. 106547-106547
Closed Access | Times Cited: 165
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