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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 method for short-term passenger flow prediction in urban rail transit based on deep learning
Ningning Dong, Tiezhu Li, Tianhao Liu, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 22, pp. 61621-61643
Closed Access | Times Cited: 10

Showing 10 citing articles:

A review of research methods on the coupling relationship between urban rail transit and urban space: revealing spatiotemporal relationships through big data
Zishuo Liu, Haishan Xia, Tong Zhang
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study
Ahad Amini Pishro, Shiquan Zhang, Alain L’Hostis, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Clustering of Passenger Flow and Land-Use of Beijing Urban Rail Transit Stations Based on Multi-Source Data

Tehnicki vjesnik - Technical Gazette (2024) Vol. 31, Iss. 1
Open Access | Times Cited: 1
Improved Long-Term Forecasting of Passenger Flow at Rail Transit Stations Based on an Artificial Neural Network
Zitao Du, Wenbo Yang, Yuna Yin, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3100-3100
Open Access | Times Cited: 1
Passenger Flow Prediction Method based on Hybrid Algorithm: Intelligent Transportation System
Ahmed Raza, Guangjie Liu, James Msughter Adeke, et al.
Deleted Journal (2024) Vol. 2, Iss. 1, pp. 12-20
Open Access
Research on passenger flow forecasting model for urban rail transport
Mengru Cui
(2024), pp. 34-34
Closed Access
Traffic flow prediction based on graph convolutional networks with a parallel attention network and stacked gate recurrent units
Dawen Xia, Yuce Ao, Xiaoduo Wei, et al.
Multimedia Tools and Applications (2024)
Closed Access
A Backpropagation-Based Algorithm to Optimize Trip Assignment Probability for Long-Term High-Speed Railway Demand Forecasting in Korea
Ho‐Chan Kwak
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7880-7880
Open Access
Utilizing Deep Learning for Enhanced Urban Traffic Forecasting: An Analytical Perspective
Sreelekha, Midhunchakkaravarthy
(2024), pp. 2028-2035
Closed Access
Multi-Scale Residual Depthwise Separable Convolution for Metro Passenger Flow Prediction
Taoying Li, Lu Liu, Meng Li
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11272-11272
Open Access | Times Cited: 1
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