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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:

Forecasting Energy-Related CO2 Emissions Employing a Novel SSA-LSSVM Model: Considering Structural Factors in China
Huiru Zhao, Guohe Huang, Ning Yan
Energies (2018) Vol. 11, Iss. 4, pp. 781-781
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models
Rabeh Abbassi, Abdelkader Abbassi, Ali Asghar Heidari, et al.
Energy Conversion and Management (2018) Vol. 179, pp. 362-372
Closed Access | Times Cited: 359
Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition
Bo Yang, Linen Zhong, Xiaoshun Zhang, et al.
Journal of Cleaner Production (2019) Vol. 215, pp. 1203-1222
Closed Access | Times Cited: 358
Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms
Melahat Sevgül Bakay, Ümit Ağbulut
Journal of Cleaner Production (2020) Vol. 285, pp. 125324-125324
Closed Access | Times Cited: 200
Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems
Hongliang Zhang, Tong Liu, Xiaojia Ye, et al.
Engineering With Computers (2022) Vol. 39, Iss. 3, pp. 1735-1769
Open Access | Times Cited: 76
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Separation and Purification Technology (2023) Vol. 316, pp. 123807-123807
Closed Access | Times Cited: 45
Carbon emission prediction models: A review
Yukai Jin, Ayyoob Sharifi, Zhisheng Li, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172319-172319
Closed Access | Times Cited: 31
Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines
Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah, et al.
Studies in computational intelligence (2019), pp. 185-199
Closed Access | Times Cited: 131
Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach
Abdelkader Abbassi, Rabeh Abbassi, Ali Asghar Heidari, et al.
Energy (2020) Vol. 198, pp. 117333-117333
Closed Access | Times Cited: 125
Modeling carbon emission trajectory of China, US and India
Qiang Wang, Shuyu Li, Zhanna Pisarenko
Journal of Cleaner Production (2020) Vol. 258, pp. 120723-120723
Closed Access | Times Cited: 114
Influencing factors analysis and forecasting of residential energy-related CO2 emissions utilizing optimized support vector machine
Lei Wen, Yang Cao
Journal of Cleaner Production (2019) Vol. 250, pp. 119492-119492
Closed Access | Times Cited: 104
The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mohammad Ehteram, Ahmad Sharafati, et al.
Water (2018) Vol. 10, Iss. 9, pp. 1124-1124
Open Access | Times Cited: 87
Carbon price prediction based on modified wavelet least square support vector machine
Wei Sun, Chang Xu
The Science of The Total Environment (2020) Vol. 754, pp. 142052-142052
Closed Access | Times Cited: 86
A multi-strategy enhanced salp swarm algorithm for global optimization
Hongliang Zhang, Zhennao Cai, Xiaojia Ye, et al.
Engineering With Computers (2020) Vol. 38, Iss. 2, pp. 1177-1203
Closed Access | Times Cited: 81
Energy Consumption Prediction Using Machine Learning; A Review
Amir Mosavi, Abdullah Bahmani
(2019)
Open Access | Times Cited: 79
A Robust Cascade Controller for Load Frequency Control of a Standalone Microgrid Incorporating Electric Vehicles
Bhuvnesh Khokhar, Surender Dahiya, K. P. Singh Parmar
Electric Power Components and Systems (2020) Vol. 48, Iss. 6-7, pp. 711-726
Closed Access | Times Cited: 79
A novel grey forecasting of greenhouse gas emissions from four industries of China and India
Saad Ahmed Javed, Dan Cudjoe
Sustainable Production and Consumption (2021) Vol. 29, pp. 777-790
Closed Access | Times Cited: 72
Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
Hongliang Zhang, Zhiyan Wang, Weibin Chen, et al.
Expert Systems with Applications (2020) Vol. 165, pp. 113897-113897
Closed Access | Times Cited: 71
An enhanced opposition-based Salp Swarm Algorithm for global optimization and engineering problems
Abdelazim G. Hussien
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 1, pp. 129-150
Closed Access | Times Cited: 68
Modelling approach for carbon emissions, energy consumption and economic growth: A systematic review
Daniela Debone, Vinicius Pazini Leite, Simone Georges El Khouri Miraglia
Urban Climate (2021) Vol. 37, pp. 100849-100849
Closed Access | Times Cited: 64
SChoA: a newly fusion of sine and cosine with chimp optimization algorithm for HLS of datapaths in digital filters and engineering applications
Mandeep Kaur, Ranjit Kaur, Narinder Singh, et al.
Engineering With Computers (2021) Vol. 38, Iss. S2, pp. 975-1003
Closed Access | Times Cited: 60
A Review of Macroscopic Carbon Emission Prediction Model Based on Machine Learning
Yuhong Zhao, Ruirui Liu, Zhansheng Liu, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6876-6876
Open Access | Times Cited: 34
Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm
Menglu Li, Wei Wang, Gejirifu De, et al.
Energies (2018) Vol. 11, Iss. 9, pp. 2475-2475
Open Access | Times Cited: 68
Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling
Neeraj Dhanraj Bokde, Bo Tranberg, Gorm Bruun Andresen
Applied Energy (2020) Vol. 281, pp. 116061-116061
Open Access | Times Cited: 55
Forecasting fuel combustion-related CO2 emissions by a novel continuous fractional nonlinear grey Bernoulli model with grey wolf optimizer
Wanli Xie, Wen-Ze Wu, Chong Liu, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 28, pp. 38128-38144
Closed Access | Times Cited: 45
Prediction of greenhouse gas emissions in Türkiye with long short-term memory (LSTM) and 1-dimensional convolutional neural network (1-DCNN) algorithms
Zeki Yılbaşı, Gökalp Çınarer, Nevfel Yunus Coşkun, et al.
International Journal of Green Energy (2025), pp. 1-27
Closed Access
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