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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 GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data
Kai Wang, Yu Hua, Lianzhong Huang, et al.
Energy (2023) Vol. 282, pp. 128910-128910
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

A study on natural gas consumption forecasting in China using the LMDI-PSO-LSTM model: Factor decomposition and scenario analysis
Qi Wang, Ruixia Suo, Qiutong Han
Energy (2024) Vol. 292, pp. 130435-130435
Closed Access | Times Cited: 16
A novel heat load prediction model of district heating system based on hybrid whale optimization algorithm (WOA) and CNN-LSTM with attention mechanism
Xuyang Cui, Junda Zhu, Lifu Jia, et al.
Energy (2024), pp. 133536-133536
Closed Access | Times Cited: 16
Accuracy and applicability of ship’s fuel consumption prediction models: A comprehensive comparative analysis
Xi Luo, Ran Yan, Lang Xu, et al.
Energy (2024), pp. 133187-133187
Closed Access | Times Cited: 11
Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm
Zhong Guan, Hui Wang, Zhi Li, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1760-1760
Open Access | Times Cited: 9
Research and application of a novel selective stacking ensemble model based on error compensation and parameter optimization for AQI prediction
Peng Tian, Jinlin Xiong, Kai Sun, et al.
Environmental Research (2024) Vol. 247, pp. 118176-118176
Closed Access | Times Cited: 7
A novel method of fuel consumption prediction for wing-diesel hybrid ships based on high-dimensional feature selection and improved blending ensemble learning method
Tian Lan, Lianzhong Huang, Ranqi Ma, et al.
Ocean Engineering (2024) Vol. 307, pp. 118156-118156
Closed Access | Times Cited: 6
A novel high-precision and self-adaptive prediction method for ship energy consumption based on the multi-model fusion approach
Kai Wang, Xing Liu, Xin Guo, et al.
Energy (2024), pp. 133265-133265
Closed Access | Times Cited: 6
A power load forecasting method in port based on VMD-ICSS-hybrid neural network
Kai Ma, Xuefeng Nie, Jie Yang, et al.
Applied Energy (2024) Vol. 377, pp. 124246-124246
Closed Access | Times Cited: 6
Efficiency improvement in energy consumption: A novel deep learning based model for leading a greener Economic recovery
Zhiliang Chu, Wang Yizhu
Sustainable Cities and Society (2024) Vol. 108, pp. 105427-105427
Closed Access | Times Cited: 5
A Ship Energy Consumption Prediction Method Based on TGMA Model and Feature Selection
Yuhang Liu, Kai Wang, Yong Lu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 7, pp. 1098-1098
Open Access | Times Cited: 5
The Analysis of Intelligent Functions Required for Inland Ships
Guozhu Hao, Wenhui Xiao, Liwen Huang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 5, pp. 836-836
Open Access | Times Cited: 4
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction
Jiayu Liang, Yaxin Lu, Mingming Su
Genetic Programming and Evolvable Machines (2024) Vol. 25, Iss. 2
Closed Access | Times Cited: 4
GA-LSTM and NSGA-III based collaborative optimization of ship energy efficiency for low-carbon shipping
Zhongwei Li, Kai Wang, Yu Hua, et al.
Ocean Engineering (2024) Vol. 312, pp. 119190-119190
Closed Access | Times Cited: 4
Research on Inland Ship Main Engine Power Prediction Based on Clustering and Particle Swarm-Grey Wolf Optimization
Liang Tong, Shijie Sun, Xin Tan, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
Data-physics-driven co-estimation of capacity and state of charge for lithium-ion batteries in electric vehicle
Dinghua Zhou, Zhongwen Zhu, Weihai Jiang, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115188-115188
Closed Access
A novel active wake control strategy based on LiDAR for wind farms
Bowen Chen, Yonggang Lin, Yajing Gu, et al.
Energy (2025), pp. 134557-134557
Closed Access
Optimizing prediction models by considering different time granularity of features and target: Problem and solution
Ran Yan, Shuo Jiang, Kai Wang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 172, pp. 105002-105002
Closed Access
Deep Learning-Based Energy Consumption Prediction Model for Green Industrial Parks
Chaoan Lai, Yina Wang, Jianhua Zhu, et al.
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
A grey-box deep learning modelling strategy for fuel oil consumption prediction: A case study of tuna purse seiner
Yi Zhou, Kayvan Pazouki, Rosemary Norman
Ocean Engineering (2025) Vol. 324, pp. 120733-120733
Open Access
An Adaptive Prediction Framework of Ship Fuel Consumption for Dynamic Maritime Energy Management
Gao Ya, Yanghui Tan, Dingyu Jiang, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 409-409
Open Access
Degradation trend prediction for centrifugal blowers based on multi-sensor information fusion and attention mechanism
You Zhang, Congbo Li, Li-Jie Su, et al.
Expert Systems with Applications (2025), pp. 127195-127195
Closed Access
Ship energy efficiency optimization considering the influences of multiple complex navigational environments: A review
Kai Wang, Yapeng Wang, Hongzhi Liang, et al.
Marine Pollution Bulletin (2025) Vol. 216, pp. 117976-117976
Closed Access
A Review of Autonomous Berthing Technology for Ships
Jingying Cai, Guoquan Chen, Jian Yin, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 7, pp. 1137-1137
Open Access | Times Cited: 3
An Interpretable Hybrid Spatiotemporal Fusion Method for Ultra-Short-Term Photovoltaic Power Prediction
Bin Gong, Aimin An, Yaoke Shi, et al.
Energy (2024) Vol. 308, pp. 132969-132969
Closed Access | Times Cited: 3
A novel federated learning-based two-stage approach for ship energy consumption optimization considering both shipping data security and statistical heterogeneity
Peixiu Han, Zhongbo Liu, Chi Li, et al.
Energy (2024), pp. 133150-133150
Closed Access | Times Cited: 3
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