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.

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Showing 24 citing articles:

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

Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer
Xiang Liu, Qingyu Liu, Shuai Feng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

WOA-VMD-SCINet: Hybrid model for accurate prediction of ultra-short-term Photovoltaic generation power considering seasonal variations
Zhao Yonghui, Xunhui Peng, Teng Tu, et al.
Energy Reports (2024) Vol. 12, pp. 3470-3487
Open Access | Times Cited: 4

Short-Term Photovoltaic Power Prediction Based on Multi-Stage Temporal Feature Learning
Qiang Wang, Hao Cheng, Wenrui Zhang, et al.
Energy Engineering (2025), pp. 1-10
Open Access

Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods
Yue Leon Guo, Yu Song, Zhongping Lai, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 308-308
Open Access

A novel hybrid deep learning model for ultra-short-term prediction of wind speed
Kai Liu, Z.R. Shu, Pak Wai Chan
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access

Short-term photovoltaic power prediction model based on feature construction and improved Transformer
H L Tang, Feiyu Kang, Xinyu Li, et al.
Energy (2025), pp. 135213-135213
Closed Access

Parallel TimesNet-BiLSTM model for ultra-short-term photovoltaic power forecasting using STL decomposition and auto-tuning
Jianqiang Gong, Zhiguo Qu, Zhiyu Zhu, et al.
Energy (2025), pp. 135286-135286
Closed Access

Efficient calculation of distributed photovoltaic power generation power prediction via deep learning
Junde Li, Congjun Rao, Mingyun Gao, et al.
Renewable Energy (2025), pp. 122901-122901
Closed Access

Techno-Economic Implications and Cost of Forecasting Errors in Solar PV Power Production Using Optimized Deep Learning Models
Sameer Al‐Dahidi, Mohammad Alrbai, Bilal Rinchi, et al.
Energy (2025), pp. 135877-135877
Closed Access

A transformer-based model for predicting and analyzing light olefin yields in methanol-to-olefins process
Yuping Luo, Wenyang Wang, Yuyan Zhang, et al.
Chinese Journal of Chemical Engineering (2025)
Closed Access

Multi-scale RWKV with 2-dimensional temporal convolutional network for short-term photovoltaic power forecasting
Jianhua Hao, Liu Fang-ai, Weiwei Zhang
Energy (2024) Vol. 309, pp. 133068-133068
Closed Access | Times Cited: 2

Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning
Liang Yuan, Xiangting Wang, Yao Sun, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 164, pp. 110389-110389
Open Access | Times Cited: 2

Ultra-short-term Single-step Photovoltaic Power Prediction based on VMD-Attention-BiLSTM Combined Model
Haisheng Yu, Shenhui Song
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1

A Deep Learning-Based Dual-Scale Hybrid Model for Ultra-Short-Term Photovoltaic Power Forecasting
Yongning Zhang, Xiaoying Ren, Fei Zhang, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7340-7340
Open Access

Short Term Photovoltaic Power Prediction Based on TCN-SAM-BiLSTM
Leyang Wu, Sanjiang Ma, Chong Wang
(2024) Vol. 45, pp. 156-160
Closed Access

Improving short-term photovoltaic power forecasting with an evolving neural network incorporating time-varying filtering based on empirical mode decomposition
Mokhtar Ghodbane, Naima El-Amarty, Boussad Boumeddane, et al.
Energy Conversion and Management (2024) Vol. 323, pp. 119261-119261
Closed Access

Photovoltaic output prediction based on VMD disturbance feature extraction and WaveNet
ShouSheng Zhao, Xiaofeng Yang, Kangyi Li, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access

Enhanced Solar Power Prediction Using Attention-Based DiPLS-BiLSTM Model
Yuanchang Zhong, Tengfei He, Zhifeng Mao
Electronics (2024) Vol. 13, Iss. 23, pp. 4815-4815
Open Access

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