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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 offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
Jiale Li, Zihao Song, Xuefei Wang, et al.
Energy (2022) Vol. 251, pp. 123848-123848
Closed Access | Times Cited: 119

Showing 1-25 of 119 citing articles:

Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 80
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: 67
A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 28
Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20
Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S
Xiaoying Sun, Haizhong Liu
Energy (2024) Vol. 305, pp. 132228-132228
Closed Access | Times Cited: 16
Challenges and potential solutions for the global optimization of "Offshore Wind Energy — Multi-Marine Resources" integration system in the Beibu Gulf of Guangxi
Tianhui Fan, Haoran Yang, Qianzheng Liang, et al.
Deleted Journal (2025) Vol. 2, Iss. 1, pp. 100073-100073
Closed Access | Times Cited: 1
Combined Ultra-Short-Term Photovoltaic Power Prediction Based on CEEMDAN Decomposition and RIME Optimized AM-TCN-BiLSTM
Daixuan Zhou, Yujin Liu, Xu Wang, et al.
Energy (2025), pp. 134847-134847
Closed Access | Times Cited: 1
An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting
Fang Yuan, Jinxing Che
Knowledge-Based Systems (2022) Vol. 252, pp. 109440-109440
Closed Access | Times Cited: 46
Operation and maintenance optimization of offshore wind farms based on digital twin: A review
Jiajun Xia, Guang Zou
Ocean Engineering (2022) Vol. 268, pp. 113322-113322
Closed Access | Times Cited: 45
A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
Zhenjie Liu, Haizhong Liu
Measurement (2023) Vol. 222, pp. 113643-113643
Closed Access | Times Cited: 37
A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting
Wenlong Fu, Yuchen Fu, Bailing Li, et al.
Applied Energy (2023) Vol. 348, pp. 121587-121587
Closed Access | Times Cited: 31
A novel wind power prediction model improved with feature enhancement and autoregressive error compensation
Jianing Wang, Hongqiu Zhu, Fei Cheng, et al.
Journal of Cleaner Production (2023) Vol. 420, pp. 138386-138386
Closed Access | Times Cited: 25
Cyber-Physical Interdependent Restoration Scheduling for Active Distribution Network via Ad Hoc Wireless Communication
Chongyu Wang, Mingyu Yan, Kaiyuan Pang, et al.
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 5, pp. 3413-3426
Open Access | Times Cited: 21
Refined offshore wind speed prediction: Leveraging a two-layer decomposition technique, gated recurrent unit, and kernel density estimation for precise point and interval forecasts
Mie Wang, Feixiang Ying, Qianru Nan
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108435-108435
Closed Access | Times Cited: 11
A hybrid wind speed prediction model using improved CEEMDAN and Autoformer model with auto-correlation mechanism
Bala Saibabu Bommidi, Kiran Teeparthi
Sustainable Energy Technologies and Assessments (2024) Vol. 64, pp. 103687-103687
Closed Access | Times Cited: 10
Ultra-Short-Term Offshore Wind Power Prediction Based on PCA-SSA-VMD and BiLSTM
Zhen Wang, Y. Ying, Lei Kou, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 444-444
Open Access | Times Cited: 9
GAOformer: An adaptive spatiotemporal feature fusion transformer utilizing GAT and optimizable graph matrixes for offshore wind speed prediction
Shengmao Lin, Shu Wang, Xuefang Xu, et al.
Energy (2024) Vol. 292, pp. 130404-130404
Closed Access | Times Cited: 9
A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting
Caner Barış, Cağfer Yanarateş, Aytaç Altan
PeerJ Computer Science (2024) Vol. 10, pp. e2393-e2393
Open Access | Times Cited: 9
A novel hybrid deep-learning framework for medium-term container throughput forecasting: an application to China’s Guangzhou, Qingdao and Shanghai hub ports
Di Zhang, Xinyuan Li, Chengpeng Wan, et al.
Maritime Economics & Logistics (2024) Vol. 26, Iss. 1, pp. 44-73
Closed Access | Times Cited: 7
Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization algorithm
Yuhan Wang, Chu Zhang, Yongyan Fu, et al.
Energy (2023) Vol. 280, pp. 128171-128171
Closed Access | Times Cited: 19
Short-Term Wind Power Forecasting Based on VMD and a Hybrid SSA-TCN-BiGRU Network
Yujie Zhang, Lei Zhang, Duo Sun, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9888-9888
Open Access | Times Cited: 19
Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting
Yuhan Wu, Xiyu Meng, Junru Zhang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121202-121202
Closed Access | Times Cited: 18
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 17
Particle Swarm Optimized Deep Learning Models for Rainfall Prediction: A Case Study in Aizawl, Mizoram
Chawngthu Zoremsanga, Jamal Hussain
IEEE Access (2024) Vol. 12, pp. 57172-57184
Open Access | Times Cited: 5
Enhancing real-time and day-ahead load forecasting accuracy with deep learning and weighed ensemble approach
Zeyu Li, Zhirui Tian
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
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