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:

A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas
Xinyi Yang, Ziyi Wang, Hengxi Zhang, et al.
Algorithms (2022) Vol. 15, Iss. 6, pp. 205-205
Open Access | Times Cited: 20

Showing 20 citing articles:

MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS
Agnes Clare Odimarha, Sodrudeen Abolore Ayodeji, Emmanuel Adeyemi Abaku
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 725-740
Open Access | Times Cited: 42

Generative AI and process systems engineering: The next frontier
Benjamin Decardi‐Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, et al.
Computers & Chemical Engineering (2024) Vol. 187, pp. 108723-108723
Open Access | Times Cited: 20

Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and eXplainable Artificial Intelligence (XAI)
Muhammad Rifqi Maarif, Arif Rahman Saleh, Muhammad Habibi, et al.
Information (2023) Vol. 14, Iss. 5, pp. 265-265
Open Access | Times Cited: 16

Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils
Rodrigo Polo-Mendoza, José Duque, David Maš́ın, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 5

State-Space Compression for Efficient Policy Learning in Crude Oil Scheduling
Nan Ma, Hongqi Li, Hualin Liu
Mathematics (2024) Vol. 12, Iss. 3, pp. 393-393
Open Access | Times Cited: 1

Energy Consumption Prediction Based on LightGBM Empowered With eXplainable Artificial Intelligence
Sundus Munir, Manas Ranjan Pradhan, Sagheer Abbas, et al.
IEEE Access (2024) Vol. 12, pp. 91263-91271
Open Access | Times Cited: 1

Artificial intelligence and machine learning in future energy systems (state-of-the-art, future development)
Jalal Heidary
Elsevier eBooks (2024), pp. 3-30
Closed Access | Times Cited: 1

Usage of clustering algorithms for automating route planning in transportation routing tasks
О. С. Чорна, П. Ю. Дідик, С.В. Тітов, et al.
Системи обробки інформації (2024), Iss. 1 (176), pp. 115-123
Open Access

Back propagation neural network model for controlling artificial rocks petrophysical properties during manufacturing process
Huiqing Qi, Shenyao Yang, Shilai Hu, et al.
Petroleum Science and Technology (2024), pp. 1-27
Closed Access

Stirling Numbers of Uniform Trees and Related Computational Experiments
A. Rahnamai Barghi, Daryl DeFord
Algorithms (2023) Vol. 16, Iss. 5, pp. 223-223
Open Access | Times Cited: 1

Hierarchical Reinforcement Learning for Crude Oil Supply Chain Scheduling
Nan Ma, Ziyi Wang, Zeyu Ba, et al.
Algorithms (2023) Vol. 16, Iss. 7, pp. 354-354
Open Access | Times Cited: 1

Systematic Literature Review Robust Graph Coloring on Electric Circuit Problems
Viona Prisyella Balqis, Diah Chaerani, Herlina Napitupulu
JTAM (Jurnal Teori dan Aplikasi Matematika) (2022) Vol. 6, Iss. 4, pp. 947-947
Open Access | Times Cited: 1

Machine Learning-Based Online Scheduling in Distributed Computing
Victor Toporkov, Dmitry Yemelyanov, Artem Bulkhak
Lecture notes in computer science (2023), pp. 248-259
Closed Access

Visualizing Feasible Regions for Optimization Problems on High-Dimensional Permutations using Dimensionality Reduction Methods
Igor Grebennik, О. С. Чорна, Inna Urniaieva
2022 12th International Conference on Advanced Computer Information Technologies (ACIT) (2023), pp. 126-130
Closed Access

Optimal Refinery Crude Oil Scheduling Based on Proximal Policy Optimization
Nan Ma, Hongqi Li, Hualin Liu, et al.
2021 7th International Conference on Computer and Communications (ICCC) (2023), pp. 2449-2453
Closed Access

Online Optimization for Machine Learning-based Scheduling in Distributed Computing
Victor Toporkov, Dmitry Yemelyanov, Artem Bulkhak
(2022) Vol. 798, pp. 1-7
Closed Access

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