Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction
Ke Wang, Changxi Ma, Yihuan Qiao, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 583, pp. 126293-126293
Closed Access | Times Cited: 175

Showing 51-75 of 175 citing articles:

1DCNN-based prediction methods for subsequent settlement of subgrade with limited monitoring data
Senlin Xie, Anfeng Hu, Meihui Wang, et al.
European Journal of Environmental and Civil engineering (2025), pp. 1-26
Closed Access
Traffic factor dual-state network: a novel framework for spatial–temporal traffic flow prediction
Lu Gan, Weibin Zhang, Yingyue Dong
Transportmetrica A Transport Science (2025), pp. 1-36
Closed Access
Deep learning assisted optimal dispatch for renewable-based energy system considering consumer incentive scheme
Mantosh Kumar, Kumari Namrata, Akshit Samadhiya
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Assessment of Recovery Potential and Economic Benefits from End-of-Life New Energy Vehicles Batteries in China Based on GRA-BiLSTM
Bingchun Liu, Jianmin Han
Journal of Sustainable Metallurgy (2025)
Closed Access
Temporal-TimesNet: a novel hybrid model for vessel traffic flow multi-step prediction
Dong Zhang, Lining Zhao, Zongying Liu, et al.
Ships and Offshore Structures (2025), pp. 1-14
Closed Access
Investigation into groundwater level prediction within a deep learning framework: Incorporating the spatial dynamics of adjacent wells
Zhenyue Han, Fawen Li, Yong Zhao, et al.
Journal of Hydrology (2025), pp. 133097-133097
Closed Access
An interpretable deep learning framework for photofermentation biological hydrogen production and process optimization
Huan Zhang, Tao Liu, Wenyu Liu, et al.
Energy (2025) Vol. 322, pp. 135704-135704
Closed Access
A unified traffic flow prediction model considering node differences, spatio-temporal features, and local-global dynamics
Qian Shang, Qingyong Zhang, Ju Cao, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130554-130554
Closed Access
Research on vehicle trajectory prediction algorithm based on improved transformer
Ming Jin, Pengyu Wang, Weihua Wang, et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (2025)
Closed Access
INS/GNSS integrated navigation algorithm based on CNN-LSTM-Attention
Lunlong Zhong, Xiaodong Li
Journal of Physics Conference Series (2025) Vol. 2990, Iss. 1, pp. 012018-012018
Open Access
A Miniaturized Electronic Nose System Based on Commercial Sensors for C2H4 Concentration Prediction
Zhenyu Liu, Zhencheng Liu, Jilong Wu, et al.
Process Safety and Environmental Protection (2025), pp. 107189-107189
Closed Access
A synchronous spatiotemporal graph neural network for short-term traffic flow prediction
Zhao Zhang, Xiaohong Jiao
Soft Computing (2025)
Closed Access
A novel hybrid model for short-term freeway network traffic state prediction under heavy rainstorm
Yuhao Li, Jian Wang, Yanxun Chen, et al.
Expert Systems with Applications (2025), pp. 127941-127941
Closed Access
A novel grey prediction model based on tensor higher-order singular value decomposition and its application in short-term traffic flow
De-Rong Xie, Sihao Chen, Haotong Duan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107068-107068
Closed Access | Times Cited: 10
Enhanced forecasting of online car-hailing demand using an improved empirical mode decomposition with long short-term memory neural network
Jiaming Liu, Xiaoya Tang, Haibin Liu
Transportation Letters (2024) Vol. 16, Iss. 10, pp. 1389-1405
Closed Access | Times Cited: 3
Short-term traffic flow prediction via weight optimization of composite models
Xinyi He, Yao Hu, Wangyong Chen, et al.
Transportation Letters (2024), pp. 1-11
Closed Access | Times Cited: 3
A Survey of Traffic Flow Prediction Methods Based on Long Short-Term Memory Networks
Bao‐Lin Ye, Shuang‐Nan Zhang, Lingxi Li, et al.
IEEE Intelligent Transportation Systems Magazine (2024) Vol. 16, Iss. 5, pp. 87-112
Closed Access | Times Cited: 3
Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction
Changxi Ma, Yanming Hu, Xuecai Xu
Data Science and Management (2024)
Open Access | Times Cited: 3
Logging curve prediction method based on CNN-LSTM-attention
Mingjiang Shi, Bohan Yang, Rui Chen, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2119-2131
Closed Access | Times Cited: 15
Traffic Congestion Classification Using GAN-Based Synthetic Data Augmentation and a Novel 5-Layer Convolutional Neural Network Model
Umair Jilani, Muhammad Asif, Munaf Rashid, et al.
Electronics (2022) Vol. 11, Iss. 15, pp. 2290-2290
Open Access | Times Cited: 14
Demand forecasting of online car‐hailing by exhaustively capturing the temporal dependency with TCN and Attention approaches
Xiaofei Ye, Yu Hao, Qiming Ye, et al.
IET Intelligent Transport Systems (2023)
Open Access | Times Cited: 9
Short-term traffic flow prediction based on secondary hybrid decomposition and deep echo state networks
Guojing Hu, Robert W. Whalin, Tor A. Kwembe, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 632, pp. 129313-129313
Closed Access | Times Cited: 9
Ship Traffic Flow Prediction in Wind Farms Water Area Based on Spatiotemporal Dependence
Xu Tian, Qingnian Zhang
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 2, pp. 295-295
Open Access | Times Cited: 13
An Effective Self-Attention-Based Hybrid Model for Short-Term Traffic Flow Prediction
Zhihong Li, Xiaoyu Wang, Kairan Yang
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 7
Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy c-Means Clustering
Yongjun Chen, Ming Huang, Kaixuan Song, et al.
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 7

Scroll to top