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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:

Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator
Luka Jovanovic, Dejan Jovanović, Nebojša Bačanin, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14616-14616
Open Access | Times Cited: 93

Showing 51-75 of 93 citing articles:

Multi-strategy modified sparrow search algorithm for hyperparameter optimization in arbitrage prediction models
S Cheng, Panke Qin, Baoyun Lu, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303688-e0303688
Open Access | Times Cited: 1
Sla-former: conformer using shifted linear attention for audio-visual speech recognition
Yewei Xiao, Jian Huang, Xuanming Liu, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 5721-5741
Open Access | Times Cited: 1
Machine Learning for Company Review Sentiment Analysis Interpretation
Stanislava Kozakijevic, Luka Jovanovic, Lepa Babic, et al.
Algorithms for intelligent systems (2024), pp. 647-659
Closed Access | Times Cited: 1
Optimizing Long Short-Term Memory by Improved Teacher Learning-Based Optimization for Ethereum Price Forecasting
Marija Milićević, Luka Jovanovic, Nebojša Bačanin, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 125-139
Closed Access | Times Cited: 3
RNN-AFOX: adaptive FOX-inspired-based technique for automated tuning of recurrent neural network hyper-parameters
Hosam ALRahhal, Razan Jamous
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 1981-2011
Closed Access | Times Cited: 3
Metaheuristic Optimized Extreme Gradient Boosting for Solar Flare Prediction
Luka Jovanovic, Miodrag Živković, Nebojša Budimirović, et al.
2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) (2023), pp. 183-186
Closed Access | Times Cited: 3
Employing Tuned VMD-Based Long Short-Term Memory Neural Network for Household Power Consumption Forecast
Sandra Petrović, Vule Mizdraković, Maja Kljajić, et al.
Smart innovation, systems and technologies (2023), pp. 357-371
Closed Access | Times Cited: 2
Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural Network
Mohamed Salb, Ali Elsadai, Luka Jovanovic, et al.
Lecture notes in networks and systems (2023), pp. 667-682
Closed Access | Times Cited: 2
AT-densenet with salp swarm optimization for outlier prediction
Chigurupati Ravi Swaroop, K. Raja
International Journal of Computers and Applications (2023) Vol. 45, Iss. 12, pp. 735-747
Closed Access | Times Cited: 2
Performance Evaluation of Metaheuristics-Tuned Deep Neural Networks for HealthCare 4.0
Luka Jovanovic, Sanja Golubovic, Nebojša Bačanin, et al.
Communications in computer and information science (2024), pp. 1-14
Closed Access
Marine Vessel Trajectory Forecasting Using Long Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm
Ana Toskovic, Aleksandar Petrović, Luka Jovanovic, et al.
Algorithms for intelligent systems (2024), pp. 51-66
Closed Access
Anomaly Detection in Electroencephalography Readings Using Long Short-Term Memory Tuned by Modified Metaheuristic
Ana Toskovic, Stanislava Kozakijevic, Luka Jovanovic, et al.
Algorithms for intelligent systems (2024), pp. 133-148
Closed Access
Exploring the potential of combining Mel spectrograms with neural networks optimized by the modified crayfish optimization algorithm for acoustic speed violation identification
Marko Stankovic, Luka Jovanovic, Aleksandra Bozovic, et al.
International Journal of Hybrid Intelligent Systems (2024) Vol. 20, Iss. 2, pp. 119-143
Closed Access
Direct Current Motor Malfunction Detection Through Metastatic Optimized Audio Analysis and Classification
Aleksandra Bozovic, Luka Jovanovic, Eleonora Desnica, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access
Improved Hierarchical Bayesian Optimization Algorithm with LSTM for Crude Oil Price Forecasting
Mohammed I. Habelalmateen, Murlidhar Prasad Singh, K N Chaithra, et al.
(2024), pp. 1-4
Closed Access
Solar Flare Classification via Modified Metaheuristic Optimized Extreme Gradient Boosting
Petar Bisevac, Ana Toskovic, Mohamed Salb, et al.
Communications in computer and information science (2024), pp. 81-95
Closed Access
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
Mohammed Alruqimi, Luca Di Persio
Research Square (Research Square) (2024)
Open Access
Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy
Alireza Jahandoost, Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
Large-scale IoT attack detection scheme based on LightGBM and feature selection using an improved salp swarm algorithm
Weizhe Chen, Hongyu Yang, Lihua Yin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
China Crude Oil Futures Volatility Forecasting Using LSTM Model with Optimal Noise Decomposition
Wei Jiang, Wanqing Tang, Huizhi Liu, et al.
Discrete Dynamics in Nature and Society (2024) Vol. 2024, Iss. 1
Open Access
As good as it gets? A new approach to estimating possible prediction performance
David R. Anderson, Margrét V. Bjarnadóttir
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0296904-e0296904
Open Access
Performance evaluation of metaheuristics-tuned recurrent networks with VMD decomposition for Amazon sales prediction
Andjela Jovanovic, Nebojša Bačanin, Luka Jovanovic, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
Flood Prediction Based on Recurrent Neural Network Time Series Classification Boosted by Modified Metaheuristic Optimization
Igor Markovic, Jovana Krzanovic, Luka Jovanovic, et al.
Lecture notes in networks and systems (2024), pp. 289-303
Closed Access
Chaotic Crude Oil Time-Series Prediction Using Multi-Objective Artificial Vulture Optimization Algorithm-Based Bidirectional Gated Recurrent Unit
Sunny Kala, S M Sharath, Raghavendra Kanakagiri, et al.
(2024), pp. 1-5
Closed Access
Comparative Analysis of Economy-Based Multivariate Oil Price Prediction Using LSTM
Babita Pathik, Rajeev Kumar Gupta, Nikhlesh Pathik
Communications in computer and information science (2024), pp. 45-54
Closed Access

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