
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 systematic review of machine learning methods in software testing
Sedighe Ajorloo, Amirhossein Jamarani, Mehdi Kashfi, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111805-111805
Closed Access | Times Cited: 9
Sedighe Ajorloo, Amirhossein Jamarani, Mehdi Kashfi, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111805-111805
Closed Access | Times Cited: 9
Showing 9 citing articles:
Advancing Fatigue Life Prediction with Machine Learning: A review
Atef Hamada, Shaimaa Elyamny, Walaa Abd‐Elaziem, et al.
Materials Today Communications (2025), pp. 111525-111525
Closed Access
Atef Hamada, Shaimaa Elyamny, Walaa Abd‐Elaziem, et al.
Materials Today Communications (2025), pp. 111525-111525
Closed Access
Conditional generative adversarial networks for the generation of strong ground motion parameters using KiK-net ground motion records
Zhenning Ba, Jingxuan Zhao, Fangbo Wang, et al.
Applied Soft Computing (2025), pp. 112730-112730
Closed Access
Zhenning Ba, Jingxuan Zhao, Fangbo Wang, et al.
Applied Soft Computing (2025), pp. 112730-112730
Closed Access
Non-Destructive Sweetness Classification of Khao Tang Kwa Pomelos Using Machine Learning with Acoustic and Image Processing
Tanthai Sarakum, Somboon Sukpancharoen
Journal of Food Composition and Analysis (2025) Vol. 142, pp. 107385-107385
Closed Access
Tanthai Sarakum, Somboon Sukpancharoen
Journal of Food Composition and Analysis (2025) Vol. 142, pp. 107385-107385
Closed Access
Deep Learning-Based Glaucoma Detection Using Clinical Notes: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models
Ali Mohammadjafari, Maohua Lin, Min Shi
Diagnostics (2025) Vol. 15, Iss. 7, pp. 807-807
Open Access
Ali Mohammadjafari, Maohua Lin, Min Shi
Diagnostics (2025) Vol. 15, Iss. 7, pp. 807-807
Open Access
Synergistic approaches of AI and NMR in enhancing food component analysis: A comprehensive review
Ruge Cao, Jingxin Li, Han Ding, et al.
Trends in Food Science & Technology (2024), pp. 104852-104852
Closed Access | Times Cited: 1
Ruge Cao, Jingxin Li, Han Ding, et al.
Trends in Food Science & Technology (2024), pp. 104852-104852
Closed Access | Times Cited: 1
Modeling 3E-S sustainable development problem by an ambiguous chance constrained optimization method
Ruru Jia, Jinwu Gao, Wen He
Expert Systems with Applications (2024) Vol. 257, pp. 124993-124993
Closed Access
Ruru Jia, Jinwu Gao, Wen He
Expert Systems with Applications (2024) Vol. 257, pp. 124993-124993
Closed Access
Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
Debalina Ghosh Paul, Hong Zhu, Ian Bayley
(2024), pp. 87-94
Open Access
Debalina Ghosh Paul, Hong Zhu, Ian Bayley
(2024), pp. 87-94
Open Access
Evaluation and Inference of a Proposed, Improved and Efficient W Model for Software Testing
S. Senthil Velan, S. Senthil Velan, P Rubini, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-6
Closed Access
S. Senthil Velan, S. Senthil Velan, P Rubini, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-6
Closed Access
Machine Learning Models for Artist Classification of Cultural Heritage Sketches
Gianina Chiroşca, Roxana Rădvan, Sorin Musat, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 212-212
Open Access
Gianina Chiroşca, Roxana Rădvan, Sorin Musat, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 212-212
Open Access
The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling
Andrei Mihai Rugină
Modelling in Civil Environmental Engineering (2023) Vol. 18, Iss. 3, pp. 1-18
Open Access
Andrei Mihai Rugină
Modelling in Civil Environmental Engineering (2023) Vol. 18, Iss. 3, pp. 1-18
Open Access