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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:

Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy
Mohammad Momeny, Ali Asghar Neshat, Abdolmajid Gholizadeh, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105175-105175
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Lung Diseases Detection Using Various Deep Learning Algorithms
M. Jasmine Pemeena Priyadarsini, Ketan Kotecha, G. K. Rajini, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 44
Automated data processing and feature engineering for deep learning and big data applications: A survey
Alhassan Mumuni, Fuseini Mumuni
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 32
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Alhassan Mumuni, Fuseini Mumuni
Knowledge and Information Systems (2025)
Closed Access | Times Cited: 1
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Mohammad Momeny, Ahmad Jahanbakhshi, Ali Asghar Neshat, et al.
Ecological Informatics (2022) Vol. 71, pp. 101829-101829
Closed Access | Times Cited: 50
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN
Mohammad Momeny, Ali Asghar Neshat, Ahmad Jahanbakhshi, et al.
Food Control (2022) Vol. 147, pp. 109554-109554
Closed Access | Times Cited: 47
An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
Ahmed Iqbal, Muhammad Usman, Zohair Ahmed
Tuberculosis (2022) Vol. 136, pp. 102234-102234
Closed Access | Times Cited: 46
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain, et al.
Journal of Computational Science (2022) Vol. 63, pp. 101763-101763
Open Access | Times Cited: 37
A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification
Ayan Mondal, Vimal K. Shrivastava
Computers in Biology and Medicine (2022) Vol. 150, pp. 106183-106183
Closed Access | Times Cited: 37
Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques
Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi
Results in Engineering (2023) Vol. 17, pp. 100891-100891
Open Access | Times Cited: 36
Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review
Seng Hansun, Ahmadreza Argha, Siaw‐Teng Liaw, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e43154-e43154
Open Access | Times Cited: 24
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Zhuo Chen, Danqing Song
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3384-3416
Open Access | Times Cited: 23
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Hassaan Malik, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296352-e0296352
Open Access | Times Cited: 8
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation
Mahmoud Marhamati, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard, et al.
Displays (2023) Vol. 76, pp. 102371-102371
Open Access | Times Cited: 17
3D attention-focused pure convolutional target detection algorithm for insulator defect detection
Quan Lu, Kehong Lin, Linfei Yin
Expert Systems with Applications (2024) Vol. 249, pp. 123720-123720
Closed Access | Times Cited: 7
Drug-Resistant Tuberculosis Treatment Recommendation, and Multi-Class Tuberculosis Detection and Classification Using Ensemble Deep Learning-Based System
Chutinun Prasitpuriprecha, Sirima Suvarnakuta Jantama, Thanawadee Preeprem, et al.
Pharmaceuticals (2022) Vol. 16, Iss. 1, pp. 13-13
Open Access | Times Cited: 26
A Comprehensive Review on Advancement in Deep Learning Techniques for Automatic Detection of Tuberculosis from Chest X-ray Images
Evans Kotei, Ramkumar Thirunavukarasu
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 455-474
Closed Access | Times Cited: 13
Tuberculosis Detection From Chest X-Ray Image Modalities Based on Transformer and Convolutional Neural Network
Evans Kotei, Ramkumar Thirunavukarasu
IEEE Access (2024) Vol. 12, pp. 97417-97427
Open Access | Times Cited: 4
ResGloTBNet: an interpretable deep residual network with global long-range dependency for tuberculosis screening of sputum smear microscopy images
Taocui Yan, Yi Jin, Shangqing Liu, et al.
Medical Engineering & Physics (2025) Vol. 137, pp. 104300-104300
Closed Access
MGNN: A multiscale grouped convolutional neural network for efficient atrial fibrillation detection
Sen Liu, Aiguo Wang, Xintao Deng, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105863-105863
Closed Access | Times Cited: 21
A New Deep Learning Model for the Classification of Poisonous and Edible Mushrooms Based on Improved AlexNet Convolutional Neural Network
Wacharaphol Ketwongsa, Sophon Boonlue, Urachart Kokaew
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3409-3409
Open Access | Times Cited: 20
Patient's airway monitoring during cardiopulmonary resuscitation using deep networks
Mahmoud Marhamati, Behnam Dorry, Shima Imannezhad, et al.
Medical Engineering & Physics (2024) Vol. 129, pp. 104179-104179
Open Access | Times Cited: 2
A systematic review and repeatability study on the use of deep learning for classifying and detecting tuberculosis bacilli in microscopic images
Thales Francisco Mota Carvalho, Vívian Ludimila Aguiar Santos, José Cleydson F. Silva, et al.
Progress in Biophysics and Molecular Biology (2023) Vol. 180-181, pp. 1-18
Closed Access | Times Cited: 5
Visual attention condenser model for multiple disease detection from heterogeneous medical image modalities
Evans Kotei, Ramkumar Thirunavukarasu
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 30563-30585
Closed Access | Times Cited: 5
Early detection of tuberculosis using hybrid feature descriptors and deep learning network
Garima Verma, Ajay Kumar, Sushil Kumar Dixit
Polish Journal of Radiology (2023) Vol. 88, pp. 445-454
Open Access | Times Cited: 5
Influence of Adam Optimizer with Sequential Convolutional Model for Detection of Tuberculosis
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
(2022), pp. 340-344
Closed Access | Times Cited: 8
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