Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours
Muhammad Asim Saleem, Ngoc Thien Le, Widhyakorn Asdornwised, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2147-2147
Open Access | Times Cited: 16

Showing 16 citing articles:

Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages
Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, et al.
IEEE Access (2024) Vol. 12, pp. 35754-35764
Open Access | Times Cited: 9
Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia
Ashir Javeed, Peter Anderberg, Ahmad Nauman Ghazi, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 6
Enhanced botnet detection in IoT networks using zebra optimization and dual-channel GAN classification
Sk. Khaja Shareef, R. Krishna Chaitanya, Srinivasulu Chennupalli, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Eco-assessment of meat raw materials: A convolutional neural network approach to sustainable quality control
Natalia Verezubova, Natalia Sakovich, Olga Yukovleva, et al.
E3S Web of Conferences (2025) Vol. 614, pp. 03014-03014
Open Access
MDepthNet based phishing attack detection using integrated deep learning methodologies for cyber security enhancement
Anil Kumar Yamarthy, Ch Koteswararao
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6377-6395
Closed Access | Times Cited: 3
Decision Support System for Predicting Mortality in Cardiac Patients Based on Machine Learning
Ashir Javeed, Muhammad Asim Saleem, Ana Luiza Dallora, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5188-5188
Open Access | Times Cited: 9
Early energy performance analysis of smart buildings by consolidated artificial neural network paradigms
Guoqing Guo, Peng Liu, Yuchen Zheng
Heliyon (2024) Vol. 10, Iss. 4, pp. e25848-e25848
Open Access | Times Cited: 3
Enhancing anomaly detection: A comprehensive approach with MTBO feature selection and TVETBO Optimized Quad-LSTM classification
RajaSekhar Reddy N V, N SreeDivya, J. N., et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109536-109536
Closed Access | Times Cited: 3
Optimizing Depression Prediction in Older Adults: A Comparative Study of Feature Extraction and Machine Learning Models
Ashir Javeed, Peter Anderberg, Ahmad Nauman Ghazi, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Deep Learning-Based Proposed Approach for Low-Dose CT Scan-Based Early Detection of Lung Cancer
Isha Bhatia, Aarti Aarti
Lecture notes in networks and systems (2024), pp. 191-201
Closed Access
Improved lung cancer diagnosis using modified M3D-RUN model with fuzzy active contour segmentation and LDHA mean filtering technique
Sasanka Sekhar Dalai, Bharat Jyoti Ranjan Sahu, M. Ijaz Khan, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5685-5700
Closed Access
An intelligent learning system based on electronic health records for unbiased stroke prediction
Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Unveiling Cancer: A Data‐Driven Approach for Early Identification and Prediction Using F‐RUS‐RF Model
Ashir Javeed, Peter Anderberg, Muhammad Asim Saleem, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 6
Open Access
An intelligent generative adversarial network multistage lung cancer detection and subtypes classification
Mattakoyya Aharonu, Lokesh Kumar Ramasamy
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
Deep multi-scale three-dimensional convolutional neural network optimized with manta ray foraging optimization algorithm for classification of lung cancer on CT images
Veena Nair, C.S. Vinitha, Francis H. Shajin
The Imaging Science Journal (2023) Vol. 72, Iss. 6, pp. 723-735
Closed Access | Times Cited: 1
Lung Cancer Prediction Using an Improved Support Vector Machine and Gradient Self-Adaptive Sea Lion Optimization Technique
Swetha Dhamercherla, Damodar Reddy Edla, Suresh Dara
(2023), pp. 1-7
Closed Access
Page 1

Scroll to top