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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:

A novel grey Lotka–Volterra model driven by the mechanism of competition and cooperation for energy consumption forecasting
Yunxin Zhang, Huan Guo, Ming Sun, et al.
Energy (2022) Vol. 264, pp. 126154-126154
Closed Access | Times Cited: 13

Showing 13 citing articles:

Forecasting the carbon emissions in Hubei Province under the background of carbon neutrality: a novel STIRPAT extended model with ridge regression and scenario analysis
Congjun Rao, Qifan Huang, Lin Chen, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 20, pp. 57460-57480
Open Access | Times Cited: 39
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Yuvaraj Natarajan, K. R. Sri Preethaa, Girish Wadhwa, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1925-1925
Open Access | Times Cited: 9
Forecasting residential electricity consumption using the novel hybrid model
Guo‐Feng Fan, Zheng Ya, Wen-Jing Gao, et al.
Energy and Buildings (2023) Vol. 290, pp. 113085-113085
Closed Access | Times Cited: 17
A novel grey box model for ship fuel consumption prediction adapted to complex navigating conditions
Ailong Fan, Yifu Wang, Yang Liu, et al.
Energy (2025), pp. 134436-134436
Closed Access
Multi-Step Ahead Forecasting of the Energy Consumed by the Residential and Commercial Sectors in the United States Based on a Hybrid CNN-BiLSTM Model
Yifei Chen, Zhihan Fu
Sustainability (2023) Vol. 15, Iss. 3, pp. 1895-1895
Open Access | Times Cited: 11
Prediction and comparison of urban electricity consumption based on grey system theory: A case study of 30 southern China cities
Meng Wang, Hang Yu, Rui Jing, et al.
Cities (2023) Vol. 137, pp. 104299-104299
Closed Access | Times Cited: 7
A hybrid approach based machine learning models in electricity markets
William Gomez, Fu‐Kwun Wang, Shih‐Che Lo
Energy (2023) Vol. 289, pp. 129988-129988
Closed Access | Times Cited: 7
A novel fractional time-delayed grey model with discrete fractal derivative and its applications in predicting enrollments and educational expenditure
Wanli Xie, Caixia Liu
Soft Computing (2023) Vol. 27, Iss. 22, pp. 16523-16535
Closed Access | Times Cited: 5
A novel information enhanced Grey Lotka–Volterra model driven by system mechanism and data for energy forecasting of WEET project in China
Tianyao Duan, Huan Guo, Qi Xiao, et al.
Energy (2024) Vol. 304, pp. 132176-132176
Closed Access | Times Cited: 1
Carbon emission prediction in a region of Hainan Province based on improved STIRPAT model
Jiaojiao Tang, Junfang Zheng, Guangchao Yang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 49, pp. 58795-58817
Closed Access
Competition and cooperation mechanism of new energy vehicle policies in China’s key regions
Bi Fan, Zhang Wen, Quande Qin
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access
Machine Learning-Based Decision-Making Mechanism for Risk Assessment of Cardiovascular Disease
Cheng Wang, Haoran Zhu, Congjun Rao
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 1, pp. 691-718
Open Access | Times Cited: 1
Prediction of Population Development Trend in Huizhou Based on Grey Discrete Incremental Model
Jing Wang, Shuhong Peng
(2023), pp. 1351-1358
Closed Access
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