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:

Research on Short-Term Passenger Flow Prediction of LSTM Rail Transit Based on Wavelet Denoising
Qingliang Zhao, Xiaobin Feng, Liwen Zhang, et al.
Mathematics (2023) Vol. 11, Iss. 19, pp. 4204-4204
Open Access | Times Cited: 6

Showing 6 citing articles:

Dam deformation prediction model based on the multiple decomposition and denoising methods
Dongyan Jia, Jie Yang, Guanglei Sheng
Measurement (2024) Vol. 238, pp. 115268-115268
Closed Access | Times Cited: 7

Dynamic Occupancy Rate for Shared Taxi Mobility-on-Demand Services through LSTM and PER-DQN
Ensiyeh Javaherian Pour, Mohammad Saadi Mesgari, Mahdi Farnaghi
International Journal of Intelligent Transportation Systems Research (2025)
Closed Access

Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro
Yuxin He, Weihang Hong, Lishuai Li, et al.
Machine Learning (2025) Vol. 114, Iss. 1
Closed Access

Spatio–temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines
Hongtao Li, Wen-jie Fu, Haina Zhang, et al.
Knowledge-Based Systems (2025), pp. 113132-113132
Closed Access

DGTNet:dynamic graph attention transformer network for traffic flow forecasting
Jing Chen, Wuzhi Li, Shuixuan Chen, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045243-045243
Closed Access

Short-term Subway Passenger Flow Prediction based on LSTM and ARIMA Model
Yunhao Ma
Highlights in Science Engineering and Technology (2024) Vol. 118, pp. 18-24
Open Access

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