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 blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction
Dongzhen Xiong, Wenlong Fu, Kai Wang, et al.
Energy Conversion and Management (2021) Vol. 230, pp. 113680-113680
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 98

Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Leiming Suo, Peng Tian, Shihao Song, et al.
Energy (2023) Vol. 276, pp. 127526-127526
Closed Access | Times Cited: 69

A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM
Jingzhou Xin, Chaoying Zhou, Yan Jiang, et al.
Measurement (2023) Vol. 214, pp. 112797-112797
Closed Access | Times Cited: 64

An overview of deterministic and probabilistic forecasting methods of wind energy
Yuying Xie, Chaoshun Li, Mengying Li, et al.
iScience (2022) Vol. 26, Iss. 1, pp. 105804-105804
Open Access | Times Cited: 42

Temperature-induced deflection separation based on bridge deflection data using the TVFEMD-PE-KLD method
Shuangjiang Li, Jingzhou Xin, Yan Jiang, et al.
Journal of Civil Structural Health Monitoring (2023) Vol. 13, Iss. 2-3, pp. 781-797
Closed Access | Times Cited: 38

Harnessing AI for solar energy: Emergence of transformer models
Muhammad Fainan Hanif, Jianchun Mi
Applied Energy (2024) Vol. 369, pp. 123541-123541
Closed Access | Times Cited: 11

The Role of Utilizing Artificial Intelligence and Renewable Energy in Reaching Sustainable Development Goals
Fatma M. Talaat, A.E. Kabeel, Warda M. Shaban
Renewable Energy (2024) Vol. 235, pp. 121311-121311
Closed Access | Times Cited: 10

Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks
Zhining Cao, Jianzhou Wang, Yurui Xia
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 108375-108375
Closed Access | Times Cited: 8

A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model
Haoyu Chen, Huang Hai, Yong Zheng, et al.
Applied Energy (2024) Vol. 375, pp. 124166-124166
Closed Access | Times Cited: 8

A compositive architecture coupling outlier correction, EWT, nonlinear Volterra multi-model fusion with multi-objective optimization for short-term wind speed forecasting
Ping Fang, Wenlong Fu, Kai Wang, et al.
Applied Energy (2021) Vol. 307, pp. 118191-118191
Closed Access | Times Cited: 53

Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 35

A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique
Yagang Zhang, Jinghui Zhang, Leyi Yu, et al.
Energy (2022) Vol. 254, pp. 124378-124378
Closed Access | Times Cited: 33

A multimodal approach to chaotic renewable energy prediction using meteorological and historical information
Hui Hwang Goh, Ronghui He, Dongdong Zhang, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108487-108487
Closed Access | Times Cited: 31

A meta-heuristic approach for reliability-based design optimization of shell-and-tube heat exchangers
Jafar Jafari‐Asl, Oscar D. Lara Montaño, Seyedali Mirjalili, et al.
Applied Thermal Engineering (2024) Vol. 248, pp. 123161-123161
Closed Access | Times Cited: 6

A novel hourly PM2.5 concentration prediction model based on feature selection, training set screening, and mode decomposition-reorganization
Wei Sun, Zhiwei Xu
Sustainable Cities and Society (2021) Vol. 75, pp. 103348-103348
Closed Access | Times Cited: 39

Wind Speed Forecast Based on the LSTM Neural Network Optimized by the Firework Algorithm
Bilin Shao, Dan Song, Genqing Bian, et al.
Advances in Materials Science and Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 36

Deep non-crossing probabilistic wind speed forecasting with multi-scale features
Runmin Zou, Mengmeng Song, Yun Wang, et al.
Energy Conversion and Management (2022) Vol. 257, pp. 115433-115433
Closed Access | Times Cited: 23

Renewable energy forecasting: A self-supervised learning-based transformer variant
Jiarui Liu, Yuchen Fu
Energy (2023) Vol. 284, pp. 128730-128730
Closed Access | Times Cited: 14

Combined ultra-short-term prediction method of PV power considering ground-based cloud images and chaotic characteristics
Yufei Wang, Xianzhe Wang, Deyang Hao, et al.
Solar Energy (2024) Vol. 274, pp. 112597-112597
Closed Access | Times Cited: 5

A new decomposition-ensemble strategy fusion with correntropy optimization learning algorithms for short-term wind speed prediction
Ning Zhao, Yi Su, Xianxing Dai, et al.
Applied Energy (2024) Vol. 369, pp. 123589-123589
Closed Access | Times Cited: 5

Multi-step-ahead solar output time series prediction with gate recurrent unit neural network using data decomposition and cooperation search algorithm
Zhong-kai Feng, Qingqing Huang, Wen-jing Niu, et al.
Energy (2022) Vol. 261, pp. 125217-125217
Closed Access | Times Cited: 21

Multi-step-ahead and interval carbon price forecasting using transformer-based hybrid model
Yue Wang, Wang Zhong, Wang Xiaoyi, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 95692-95719
Closed Access | Times Cited: 11

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