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:

Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm
Jinghua Li, Yongsheng Lei, Shuhui Yang
Energy Reports (2022) Vol. 8, pp. 491-497
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Dung beetle optimizer: a new meta-heuristic algorithm for global optimization
Jiankai Xue, Bo Shen
The Journal of Supercomputing (2022) Vol. 79, Iss. 7, pp. 7305-7336
Closed Access | Times Cited: 722

Advances in Sparrow Search Algorithm: A Comprehensive Survey
Farhad Soleimanian Gharehchopogh, Mohammad Namazi, Laya Ebrahimi, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 427-455
Open Access | Times Cited: 220

DETDO: An adaptive hybrid dandelion optimizer for engineering optimization
Gang Hu, Yixuan Zheng, Laith Abualigah, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102004-102004
Closed Access | Times Cited: 152

Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review
Faiaz Ahsan, Nazia Hasan Dana, Subrata K. Sarker, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 57

A Hybrid Gradient Boosting Model for Predicting Longitudinal Dispersion Coefficient in Natural Rivers
Yangyu Deng, Yakun Liu, Di Zhang, et al.
Water Resources Management (2025)
Closed Access | Times Cited: 1

Remaining useful life prediction for lithium-ion battery storage system: A comprehensive review of methods, key factors, issues and future outlook
Shaheer Ansari, Afida Ayob, Molla Shahadat Hossain Lipu, et al.
Energy Reports (2022) Vol. 8, pp. 12153-12185
Open Access | Times Cited: 58

Comprehensive review of load forecasting with emphasis on intelligent computing approaches
Hong Wang, Khalid A. Alattas, Ardashir Mohammadzadeh, et al.
Energy Reports (2022) Vol. 8, pp. 13189-13198
Open Access | Times Cited: 47

Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm
Tian Gao, Dongxiao Niu, Zhengsen Ji, et al.
Energy (2022) Vol. 261, pp. 125328-125328
Closed Access | Times Cited: 43

Data driven health and life prognosis management of supercapacitor and lithium-ion battery storage systems: Developments, implementation aspects, limitations, and future directions
Molla Shahadat Hossain Lipu, M. Rahman, Muhamad Mansor, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 113172-113172
Closed Access | Times Cited: 11

An effective MPPT control based on machine learning method for proton exchange membrane fuel cell systems
Beşir Dandıl, Hakan Açıkgöz, Resul Çöteli̇
International Journal of Hydrogen Energy (2024) Vol. 75, pp. 344-353
Closed Access | Times Cited: 8

Electric load forecasting under False Data Injection Attacks using deep learning
Arash Moradzadeh, Mostafa Mohammadpourfard, Charalambos Konstantinou, et al.
Energy Reports (2022) Vol. 8, pp. 9933-9945
Open Access | Times Cited: 29

Prediction model for high arch dam stress during the operation period using LightGBM with MSSA and SHAP
Bo Li, Jing Ning, Shengmei Yang, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103635-103635
Closed Access | Times Cited: 7

Spatiotemporal Sequence-to-Sequence Clustering for Electric Load Forecasting
Moses Amoasi Acquah, Yuwei Jin, Byeong-Chan Oh, et al.
IEEE Access (2023) Vol. 11, pp. 5850-5863
Open Access | Times Cited: 14

Fault Diagnosis of Ship Ballast Water System Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm
M Wang, Hui Cao, Zeren Ai, et al.
IEEE Access (2024) Vol. 12, pp. 17045-17057
Open Access | Times Cited: 4

An adaptive enhanced human memory algorithm for multi-level image segmentation for pathological lung cancer images
Mahmoud Abdel-Salam, Essam H. Houssein, Marwa M. Emam, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109272-109272
Closed Access | Times Cited: 4

Mitigating concept drift challenges in evolving smart grids: An adaptive ensemble LSTM for enhanced load forecasting
Abdul Azeem, Idris Ismail, Syed Sheeraz Mohani, et al.
Energy Reports (2025) Vol. 13, pp. 1369-1383
Closed Access

A weather station selection method based on the simulated annealing algorithm for electric load forecasting
Narjes Salmabadi, Majid Salari, Alireza Shadman
Neural Computing and Applications (2025)
Closed Access

Electricity demand forecasting in Zhangjiajie under the background of “dual carbon”
Lujie Ren, Jiaxi Li, Ting Zeng, et al.
Journal of Physics Conference Series (2025) Vol. 2960, Iss. 1, pp. 012009-012009
Open Access

Machine Learning Techniques for Demand Forecasting in the Electricity Sector
Firuz Ahamed Nahid, Hussain Ahmed Chowdhury, Mohammad Nayeem Jahangir
(2025), pp. 131-172
Closed Access

Mid- to Long-Term Electric Load Forecasting Based on the EMD–Isomap–Adaboost Model
Xuguang Han, Jingming Su, Yan Hong, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 7608-7608
Open Access | Times Cited: 15

Short‐term Load Forecasting Based on a Generalized Regression Neural network optimized by an improved sparrow search algorithm using the empirical wavelet decomposition method
Guo‐Feng Fan, Yun Li, Xin‐Yan Zhang, et al.
Energy Science & Engineering (2023) Vol. 11, Iss. 7, pp. 2444-2468
Open Access | Times Cited: 8

A two-layer SSA-XGBoost-MLR continuous multi-day peak load forecasting method based on hybrid aggregated two-phase decomposition
Zhengzhong Gao, Xiucheng Yin, Fanzhe Zhao, et al.
Energy Reports (2022) Vol. 8, pp. 12426-12441
Open Access | Times Cited: 13

Artificial-intelligence-enabled dynamic demand response system for maximizing the use of renewable electricity in production processes
Hendro Wicaksono, Martin Trat, Atit Bashyal, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Open Access | Times Cited: 2

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