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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:

Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features
M. P. Rajakumar, R. Sonia, B. Uma Maheswari, et al.
Journal of X-Ray Science and Technology (2021) Vol. 29, Iss. 6, pp. 961-974
Closed Access | Times Cited: 20

Showing 20 citing articles:

Enhanced swin transformer based tuberculosis classification with segmentation using chest X-ray
P. Visu, V Sathiya, P. Ajitha, et al.
Journal of X-Ray Science and Technology (2025)
Closed Access | Times Cited: 1
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Rebika Rai, Arunita Das, Krishna Gopal Dhal
Evolving Systems (2022) Vol. 13, Iss. 6, pp. 889-945
Open Access | Times Cited: 47
Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features
K. Vijayakumar, V. Rajinikanth, M. K. Kirubakaran
Journal of X-Ray Science and Technology (2022) Vol. 30, Iss. 4, pp. 751-766
Closed Access | Times Cited: 31
Impact and Challenges of Artificial Intelligence Integration in the African Health Sector: A Review
Elijah Kolawole Oladipo, Stephen Feranmi Adeyemo, Glory Jesudara Oluwasanya, et al.
Trends in Medical Research (2024) Vol. 19, Iss. 1, pp. 220-235
Open Access | Times Cited: 4
VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
Jesline Daniel, J. T. Anita Rose, F. Sangeetha Francelin Vinnarasi, et al.
Scanning (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 20
Diagnostic Accuracy of the Artificial Intelligence Methods in Medical Imaging for Pulmonary Tuberculosis: A Systematic Review and Meta-Analysis
Yuejuan Zhan, Yuqi Wang, Wendi Zhang, et al.
Journal of Clinical Medicine (2022) Vol. 12, Iss. 1, pp. 303-303
Open Access | Times Cited: 16
Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm
Ramya Mohan, Seifedine Kadry, V. Rajinikanth, et al.
Life (2022) Vol. 12, Iss. 11, pp. 1848-1848
Open Access | Times Cited: 14
Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features
Seifedine Kadry, Gautam Srivastava, V. Rajinikanth, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 12
Fast Identification Method of Mine Water Source Based on Laser-Induced Fluorescence Technology and Optimized LSTM
Pengcheng Yan, Xiaofei Zhang, Xuyue Kan, et al.
Water (2023) Vol. 15, Iss. 4, pp. 701-701
Open Access | Times Cited: 7
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features
V. Rajinikanth, Seifedine Kadry, Pablo Moreno‐Ger
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. 8, Iss. 2, pp. 38-38
Open Access | Times Cited: 7
TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network
Tae Hoon Kim, Moez Krichen, Stephen Ojo, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1174-1174
Open Access | Times Cited: 2
Relationship between the deep features of the full-scan pathological map of mucinous gastric carcinoma and related genes based on deep learning
Li Ding, Xiaoyuan Li, Shifang Li, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14374-e14374
Open Access | Times Cited: 3
Detection of TB from Chest X-ray: A Study with EfficientNet
A. Rama, M. P. Rajakumar, N. Mythili, et al.
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (2023)
Closed Access | Times Cited: 2
A Review of Deep Learning-Based Detection Methods for Tuberculosis
Ding Zeyu, Razali Yaakob, Azreen Azman
(2022), pp. 68-73
Closed Access | Times Cited: 3
Comparative Analysis of LSTM and BiLSTM in Image Detection Processing
Bob Subhan Riza, Rina Yunita, Rika Rosnelly
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2024) Vol. 15, Iss. 1, pp. 244-260
Open Access
Automatic detection of COVID-19 in chest radiographs using serially concatenated deep and handcrafted features
S. Rajesh Kannan, J. Sivakumar, P. Ezhilarasi
Journal of X-Ray Science and Technology (2021) Vol. 30, Iss. 2, pp. 231-244
Open Access | Times Cited: 4
A proposed framework for face - iris recognition system using enhanced mayfly algorithm
A.I. Oladimeji, Ayisat Wuraola Asaju-Gbolagade, Kazeem Alagbe Gbolagade
Nigerian Journal of Technology (2022) Vol. 41, Iss. 3, pp. 535-541
Open Access | Times Cited: 2
Detection of prohibited and restricted object X-ray images based on Hi color space segmentation
Yuting Xu, WU Zhi-fang, Huaxia Zhang, et al.
Journal of X-Ray Science and Technology (2023) Vol. 31, Iss. 5, pp. 1093-1114
Closed Access
Training of U-Net on Chest X-Rays to Segment Lungs and Detect Tuberculosis
Sree Siddhartha, Sudipta Sahana, R. Ramésh, et al.
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 637-651
Open Access
Hybrid Feature Selection Using the Firefly Algorithm for Automatic Detection of Benign/Malignant Breast Cancer in Ultrasound Images
Dafni Rose Jesuharan, T. Thaj Mary Delsy, K. Vijayakumar, et al.
Traitement du signal (2023) Vol. 40, Iss. 6, pp. 2671-2681
Open Access
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