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:

Improving the accuracy of multi-step prediction of building energy consumption based on EEMD-PSO-Informer and long-time series
Feiyu Li, Zhibo Wan, Thomas Koch, et al.
Computers & Electrical Engineering (2023) Vol. 110, pp. 108845-108845
Closed Access | Times Cited: 24

Showing 24 citing articles:

Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
Sadegh Afzal, Afshar Shokri, Behrooz M. Ziapour, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107356-107356
Closed Access | Times Cited: 36

SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

A novel hybrid model based on modal decomposition and error correction for building energy consumption prediction
Meiqi Huo, Weijie Yan, Guoqian Ren, et al.
Energy (2024) Vol. 294, pp. 130811-130811
Closed Access | Times Cited: 5

Informer Hybrid Model for PV Power Forecasting Using Empirical Wavelet Decomposition with Improved Grid Clustering
松青 王
Software Engineering and Applications (2025) Vol. 14, Iss. 01, pp. 46-62
Closed Access

Improving the accuracy of daily runoff prediction using informer with black kite algorithm, variational mode decomposition, and error correction strategy
Wenchuan Wang, H. Ren, Zong Li, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access

Advanced Energy Performance Modelling: Case Study of an Engineering and Technology Precinct
Faham Tahmasebinia, Lin Lin, Shuo Wu, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1774-1774
Open Access | Times Cited: 4

A Novel Hybrid Model Combining BPNN Neural Network and Ensemble Empirical Mode Decomposition
Huiling Li, Qi Wang, Daijun Wei
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2

Temporal feature decomposition fusion network for building energy multi-step prediction
Ya Yang, Qiming Fu, Jianping Chen, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110034-110034
Closed Access | Times Cited: 2

Energy consumption dynamic prediction for HVAC systems based on feature clustering deconstruction and model training adaptation
Huiheng Liu, Yanchen Liu, Huakun Huang, et al.
Building Simulation (2024) Vol. 17, Iss. 9, pp. 1439-1460
Closed Access | Times Cited: 2

Network Security Situation Prediction Model Based on VMD Decomposition and DWOA Optimized BiGRU-ATTN Neural Network
Shengcai Zhang, Qiming Fu, Dezhi An
IEEE Access (2023) Vol. 11, pp. 129507-129535
Open Access | Times Cited: 5

A New Design of an Optimized Informer Wind Power Prediction Model Utilizing Wind Turbine Health Assessment
Xie Xin, Feng Huang, Youyuan Peng, et al.
Journal of Circuits Systems and Computers (2024)
Closed Access | Times Cited: 1

Machine learning para la predicción de energía eléctrica: una revisión sistemática de literatura
Kandel L. Yandar, Óscar Revelo Sánchez, Manuel Bolaños
Ingeniería y Competitividad (2024) Vol. 26, Iss. 2
Closed Access | Times Cited: 1

EV load forecasting using a refined CNN-LSTM-AM
Juan Ran, Yunbo Gong, Yu Hu, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111091-111091
Closed Access | Times Cited: 1

PMformer: A Novel Informer-based Model for Accurate Long-Term Time Series Prediction
Yuewei Xue, Shaopeng Guan, Wanhai Jia
Information Sciences (2024), pp. 121586-121586
Closed Access | Times Cited: 1

Prediction of Total Phosphorus Concentration in Canals by GAT-Informer Model Based on Spatiotemporal Correlations
Juan Huan, Xincheng Li, Jialong Yuan, et al.
Water (2024) Vol. 17, Iss. 1, pp. 12-12
Open Access

Logistics Transportation Vehicle Supply Forecasting Based on Improved Informer Modeling
Dudu Guo, Peifan Jiang, Yin Qin, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8162-8162
Open Access

How far back shall we peer? Optimal air handling unit control leveraging extensive past observations
Rui Li, Zhengbo Zou
Building and Environment (2024) Vol. 269, pp. 112347-112347
Closed Access

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