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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:

RPConvformer: A novel Transformer-based deep neural networks for traffic flow prediction
Yanjie Wen, Ping Xu, Zhihong Li, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119587-119587
Closed Access | Times Cited: 35

Showing 26-50 of 35 citing articles:

An Evolving Transformer Network Based on Hybrid Dilated Convolution for Traffic Flow Prediction
Qi Yu, Weilong Ding, Maoxiang Sun, et al.
(2024), pp. 329-343
Closed Access | Times Cited: 1
Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems
Xian Yu, Yinxin Bao, Quan Shi
PeerJ Computer Science (2024) Vol. 10, pp. e1913-e1913
Open Access | Times Cited: 1
A TSENet Model for Predicting Cellular Network Traffic
Jianbin Wang, Lei Shen, Weiming Fan
Sensors (2024) Vol. 24, Iss. 6, pp. 1713-1713
Open Access | Times Cited: 1
STTD: spatial-temporal transformer with double recurrent graph convolutional cooperative network for traffic flow prediction
Hui Zeng, Qiang Cui, Xiaohui Huang, et al.
Cluster Computing (2024)
Closed Access | Times Cited: 1
STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
Hongtai Yang, Junbo Jiang, Zhan Zhao, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124466-124466
Closed Access | Times Cited: 1
TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction
Chen Wang, Kaizhong Zuo, Shaokun Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125134-125134
Closed Access | Times Cited: 1
Performance Evaluation of Building Blocks of Spatial-Temporal Deep Learning Models for Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
IEEE Access (2023) Vol. 11, pp. 136478-136495
Open Access | Times Cited: 2
STC-PSSA: A New Model of Traffic Flow Forecasting Based on Spatiotemporal Convolution and Probabilistic Sparse Self-Attention
Hong Zhang, Linbiao Chen, Xijun Zhang, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
DCEnt‐PredictiveNet: A novel explainable hybrid model for time series forecasting
Vidya K. Sudarshan, Reshma A. Ramachandra, Smit Ojha, et al.
Neurocomputing (2024) Vol. 608, pp. 128389-128389
Closed Access
Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting
Hsingyu Chen, Zhizhe Lin, Y. H. Yao, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3303-3303
Open Access
Discovering the optimal relationship hypothesis of car-following behaviors with neural network-based symbolic regression
Tenglong Li, Dong Ngoduy, Seunghyeon Lee, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 170, pp. 104920-104920
Open Access
Relative Position Encoding and Coordinated Boundary Texture Fusion Method for Pig Hind Leg Grade Detection
Shaohua Wu, Lei Cai, Jiahao Guo
2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (2024) Vol. 33, pp. 461-466
Closed Access
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