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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:

Intelligent Data Engineering and Automated Learning – IDEAL 2019
Hujun Yin, David Camacho, Peter Tiňo, et al.
Lecture notes in computer science (2019)
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

The four dimensions of social network analysis: An overview of research methods, applications, and software tools
David Camacho, Ángel Panizo-LLedot, Gema Bello-Orgaz, et al.
Information Fusion (2020) Vol. 63, pp. 88-120
Open Access | Times Cited: 247
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
Harun Oz, Ahmet Arış, Albert Lévi, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 11s, pp. 1-37
Open Access | Times Cited: 177
Ethical Dilemmas and Privacy Issues in Emerging Technologies: A Review
Lubna Luxmi Dhirani, Noorain Mukhtiar, Bhawani Shankar Chowdhry, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1151-1151
Open Access | Times Cited: 142
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
Márcia Baptista, Kai Goebel, Elsa Henriques
Artificial Intelligence (2022) Vol. 306, pp. 103667-103667
Open Access | Times Cited: 127
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling
Wei Li, Denis Becker
Energy (2021) Vol. 237, pp. 121543-121543
Open Access | Times Cited: 109
Interpretable machine learning for imbalanced credit scoring datasets
Yujia Chen, Raffaella Calabrese, Belén Martín-Barragán
European Journal of Operational Research (2023) Vol. 312, Iss. 1, pp. 357-372
Open Access | Times Cited: 64
Intrusion detection approach based on optimised artificial neural network
Michał Choraś, Marek Pawlicki
Neurocomputing (2020) Vol. 452, pp. 705-715
Closed Access | Times Cited: 85
Deep learning for symbols detection and classification in engineering drawings
Eyad Elyan, Laura Jamieson, Adamu Ali-Gombe
Neural Networks (2020) Vol. 129, pp. 91-102
Open Access | Times Cited: 81
Two-step ensemble under-sampling algorithm for massive imbalanced data classification
Lin Bai, Tong Ju, Hao Wang, et al.
Information Sciences (2024) Vol. 665, pp. 120351-120351
Closed Access | Times Cited: 10
A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas
Iztok Fister, Iztok Fister, Dušan Fister, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120901-120901
Open Access | Times Cited: 14
Stream-learn — open-source Python library for difficult data stream batch analysis
Paweł Ksieniewicz, Paweł Zyblewski
Neurocomputing (2022) Vol. 478, pp. 11-21
Open Access | Times Cited: 21
Crypto-Ransomware: A Revision of the State of the Art, Advances and Challenges
J.A. Gómez-Hernández, Pedro García Teodoro, Roberto Magán-Carrión, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4494-4494
Open Access | Times Cited: 12
A robust energy flow predictor based on CNN-LSTM for prosumer-oriented microgrids considering changes in biogas generation
Grzegorz Maślak, Przemysław Orłowski
Energy (2025), pp. 136050-136050
Closed Access
Swarm intelligence based robotic search in unknown maze-like environments
Khalil Al-Rahman Youssefi, Modjtaba Rouhani
Expert Systems with Applications (2021) Vol. 178, pp. 114907-114907
Closed Access | Times Cited: 26
Time-series classification with SAFE: Simple and fast segmented word embedding-based neural time series classifier
Nuzhat Tabassum, Sujeendran Menon, Agnieszka Jastrzębska
Information Processing & Management (2022) Vol. 59, Iss. 5, pp. 103044-103044
Closed Access | Times Cited: 17
kNN Prototyping Schemes for Embedded Human Activity Recognition with Online Learning
Paulo Ferreira, João M. P. Cardoso, João Mendes‐Moreira
Computers (2020) Vol. 9, Iss. 4, pp. 96-96
Open Access | Times Cited: 25
Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications
Da Ma, Louis R. Pasquale, Michaël J. A. Girard, et al.
Frontiers in Ophthalmology (2023) Vol. 2
Open Access | Times Cited: 7
mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning
György Kovács, Attila Fazekas
Neurocomputing (2024) Vol. 583, pp. 127556-127556
Open Access | Times Cited: 2
Applications of Machine Learning in Drinking Water Quality Management: A Critical Review on Water Distribution System
Zhaopeng Li, Wencheng Ma, Dan Zhong, et al.
Journal of Cleaner Production (2024) Vol. 481, pp. 144171-144171
Closed Access | Times Cited: 2
Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Edema disorders
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104098-104098
Open Access | Times Cited: 11
Testing the consistency of performance scores reported for binary classification problems
Attila Fazekas, György Kovács
Applied Soft Computing (2024) Vol. 164, pp. 111993-111993
Open Access | Times Cited: 1
Trading Strategy of the Cryptocurrency Market Based on Deep Q-Learning Agents
Chester S. J. Huang, Yu-Sheng Su
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Deep learning-based coagulant dosage prediction for extreme events leveraging large-scale data
Jiwoong Kim, Chuanbo Hua, Subin Lin, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105934-105934
Closed Access | Times Cited: 1
Experimental and analysis on household electronic power consumption
Jing Qin
Energy Reports (2022) Vol. 8, pp. 705-709
Open Access | Times Cited: 7
Swarm robotics – a case study: bat robotics
Andrés Iglesias, Akemi Gálvez, Patricia Suárez
Elsevier eBooks (2020), pp. 273-302
Closed Access | Times Cited: 10
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