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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:

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: 27

Showing 1-25 of 27 citing articles:

An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification
Amitabha Chakrabarty, Sarder Tanvir Ahmed, Md. Fahim Ul Islam, et al.
Ecological Informatics (2024) Vol. 82, pp. 102718-102718
Open Access | Times Cited: 11
A review of sentiment analysis: tasks, applications, and deep learning techniques
Neeraj Sharma, A. B. M. Shawkat Ali, Muhammad Ashad Kabir
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 10
Revolutionary Integration of Artificial Intelligence with Meta-Optics-Focus on Metalenses for Imaging
Nikolay L. Kazanskiy, Svetlana N. Khonina, Ivan Oseledets, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 143-143
Open Access | Times Cited: 5
Development of a Reduced Order Model-Based Workflow for Integrating Computer-Aided Design Editors with Aerodynamics in a Virtual Reality Dashboard: Open Parametric Aircraft Model-1 Testcase
Andrea López, Marco Evangelos Biancolini
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 846-846
Open Access
On the implications of artificial intelligence methods for feature engineering in reliability sector
Dongsheng Guo, Ting Yang, Dong Zhang
Alexandria Engineering Journal (2025) Vol. 117, pp. 463-471
Closed Access
A machine learning approach to predicting pervious concrete properties: a review
Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access
Assessing Data and Sample Complexity in Unmanned Aerial Vehicle Imagery for Agricultural Pattern Classification
Linara Arslanova, Sören Hese, Marcel Fölsch, et al.
Smart Agricultural Technology (2025), pp. 100799-100799
Open Access
Enhancing Banking Transaction Security with Fractal-Based Image Steganography Using Fibonacci Sequences and Discrete Wavelet Transform
Alina Iuliana Tăbîrcă, Cătălin Dumitrescu, Valentin Radu
Fractal and Fractional (2025) Vol. 9, Iss. 2, pp. 95-95
Open Access
Web-based phishing URL detection model using deep learning optimization techniques
Kousik Barik, Sanjay Misra, R.S. Mohan
International Journal of Data Science and Analytics (2025)
Open Access
On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph
Heling Jiang, Yan Xia, Changjie Yu, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 587-597
Closed Access
Assessment of compressive strength of eco-concrete reinforced using machine learning tools
Houcine Bentegri, Mohamed Rabehi, Samir Kherfane, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Development of a Sustainable National Traffic Information Notification System: A GNSS-Based with Enhanced-LSTM for Urban Road Traffic Speed Forecasting
Do Van Manh, Dinh Tuan Hai
International Journal of Intelligent Transportation Systems Research (2025)
Closed Access
Unlocking the power of machine learning in big data: a scoping survey
Fadil Mohammed Surur, Abiy Abinet Mamo, Bealu Girma Gebresilassie, et al.
Data Science and Management (2025)
Open Access
Transformative insights in breast cancer: review of atomic force microscopy applications
Jiamin Ma, Yuanyuan Zhai, Xiaoyi Ren, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
An Improved Static Analysis Approach for Malware Detection by Optimizing Feature Extraction Combining Different ML Algorithms
Iliyan Barzev, Daniela Borissova
Communications in computer and information science (2025), pp. 102-115
Closed Access
Leveraging ML to predict climate change impact on rice crop disease in Eastern India
Satiprasad Sahoo, Chiranjit Singha, Ajit Govind, et al.
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 4
Closed Access
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
Wangyang Ying, Dongjie Wang, Xuanming Hu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3966-3976
Open Access | Times Cited: 1
Comparative Analysis of Deep Learning Algorithms for Forecasting Pv Production and Energy Consumption
kaoutar AIT CHAOUI, Oumaima Choukai
(2024)
Closed Access
Establishment and Application of Recursive Digital Processing Algorithm with Difference Analysis-Based Parameter Setting and Difference Feedback
Tongnan Xia, Bei Wang, Enruo Huang, et al.
(2024)
Open Access
The Effectiveness of Using AutoML in Electricity Theft Detection: The Impact of Data Preprocessing and Balancing Techniques
Suhad A. Yousif, Venus W. Samawi
Lecture notes in computer science (2024), pp. 68-82
Closed Access
An Agent-Based Data Acquisition Pipeline for Image Data
Benjamin Acar, Martin R. Berger, Marc Guerreiro Augusto, et al.
IEEE Access (2024) Vol. 12, pp. 102440-102448
Open Access
Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines
Andrey Getmanov, Nikolay O. Nikitin
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Reverse Engineering: Techniques, Applications, Challenges, Opportunities

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
FELIX: Automatic and Interpretable Feature Engineering Using LLMs
Simon Malberg, E. Mosca, Georg Groh
Lecture notes in computer science (2024), pp. 230-246
Closed Access
A Mechanical Fault Diagnosis Method for UCG-Type On-Load Tap Changers in Converter Transformers Based on Multi-Feature Fusion
Yanhui Shi, Yanjun Ruan, Liangchuang Li, et al.
Actuators (2024) Vol. 13, Iss. 10, pp. 387-387
Open Access
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