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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:

Real-time prediction of public bike sharing system demand using generalized extreme value count model
Soheil Sohrabi, Rajesh Paleti, Lacramioara Balan, et al.
Transportation Research Part A Policy and Practice (2020) Vol. 133, pp. 325-336
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Listen to E-scooter riders: Mining rider satisfaction factors from app store reviews
Javad Jomehpour Chahar Aman, Janille Smith‐Colin, Wenwen Zhang
Transportation Research Part D Transport and Environment (2021) Vol. 95, pp. 102856-102856
Closed Access | Times Cited: 93
DeepTSP: Deep traffic state prediction model based on large-scale empirical data
Yang Liu, Cheng Lyu, Yuan Zhang, et al.
Communications in Transportation Research (2021) Vol. 1, pp. 100012-100012
Open Access | Times Cited: 87
Impacts of COVID-19 on bike-sharing usages in Seoul, South Korea
Junfeng Jiao, Hye‐Kyung Lee, Seung Jun Choi
Cities (2022) Vol. 130, pp. 103849-103849
Open Access | Times Cited: 41
An Attention-Based Deep Learning Framework for Trip Destination Prediction of Sharing Bike
Wei Wang, Xiaofeng Zhao, Zhiguo Gong, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 7, pp. 4601-4610
Closed Access | Times Cited: 69
Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis
Hui Zhang, Chengxiang Zhuge, Jianmin Jia, et al.
Journal of Cleaner Production (2021) Vol. 313, pp. 127930-127930
Closed Access | Times Cited: 43
Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning
Aliasghar Mehdizadeh Dastjerdi, Catherine Morency
Sensors (2022) Vol. 22, Iss. 3, pp. 1060-1060
Open Access | Times Cited: 38
Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management
Daniele Gammelli, Yihua Wang, Dennis Prak, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 138, pp. 103571-103571
Open Access | Times Cited: 36
Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approach
Xinwei Ma, Yurui Yin, Yuchuan Jin, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1161-1161
Open Access | Times Cited: 31
Review of bike-sharing system studies using bibliometrics method
Jibiao Zhou, Yanyong Guo, Jian Sun, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2022) Vol. 9, Iss. 4, pp. 608-630
Open Access | Times Cited: 30
Relocating operational and damaged bikes in free-floating systems: A data-driven modeling framework for level of service enhancement
Ximing Chang, Jianjun Wu, Huijun Sun, et al.
Transportation Research Part A Policy and Practice (2021) Vol. 153, pp. 235-260
Open Access | Times Cited: 38
Bike-Sharing Ridership Prediction for Network Expansion Using Graph Neural Networks
Ghazaleh Mohseni Hosseinabadi, Mehdi Nourinejad, Peter Y. Park
(2025)
Closed Access
Using topic modeling to unravel the nuanced effects of built environment on bicycle-metro integrated usage
Hui Bi, Hui Gao, Aoyong Li, et al.
Transportation Research Part A Policy and Practice (2024) Vol. 185, pp. 104120-104120
Closed Access | Times Cited: 3
Dynamic bike sharing traffic prediction using spatiotemporal pattern detection
Soheil Sohrabi, Alireza Ermagun
Transportation Research Part D Transport and Environment (2020) Vol. 90, pp. 102647-102647
Closed Access | Times Cited: 24
Short-Term Forecasting of Dockless Bike-Sharing Demand with the Built Environment and Weather
Yang Yang, Xin Shao, Yuting Zhu, et al.
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 8
Predicting Electric Vehicle Charging Station Availability Using Ensemble Machine Learning
Christopher Hecht, Jan Figgener, Dirk Uwe Sauer
Energies (2021) Vol. 14, Iss. 23, pp. 7834-7834
Open Access | Times Cited: 18
Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach
Hongliang Ding, Yuhuan Lu, N.N. Sze, et al.
Transportation Research Part A Policy and Practice (2022) Vol. 166, pp. 150-163
Closed Access | Times Cited: 13
Automatic bike sharing system planning from urban environment features
Nicolai André Weinreich, Daniel Bernard van Diepen, Federico Chiariotti, et al.
Transportmetrica B Transport Dynamics (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Station Importance Evaluation in Dynamic Bike-Sharing Rebalancing Optimization Using an Entropy-Based TOPSIS Approach
Mingjia He, Xinwei Ma, Yuchuan Jin
IEEE Access (2021) Vol. 9, pp. 38119-38131
Open Access | Times Cited: 11
TGAE: Temporal Graph Autoencoder for Travel Forecasting
Qiang Wang, Hao Jiang, Meikang Qiu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 8, pp. 8529-8541
Closed Access | Times Cited: 8
A censored semi-bandit model for resource allocation in bike sharing systems
Na Xie, Zhiheng Li, Zhidong Liu, et al.
Expert Systems with Applications (2022) Vol. 216, pp. 119447-119447
Closed Access | Times Cited: 8
Availability Simulation and Transfer Prediction for Bike Sharing Systems Based on Discrete Event Simulation
Yu Zhou, Yang Chen, Shenyan Liu, et al.
Socio-Economic Planning Sciences (2024) Vol. 94, pp. 101922-101922
Closed Access | Times Cited: 1
Prediction of Bike-Sharing Station Demand Using Explainable Artificial Intelligence
Frank Ngeni, Boniphace Kutela, Tumlumbe Juliana Chengula, et al.
Machine Learning with Applications (2024) Vol. 17, pp. 100582-100582
Open Access | Times Cited: 1
A Spatial-Temporal Aggregated Graph Neural Network for Docked Bike-sharing Demand Forecasting
Jiahui Feng, Hefu Liu, Jingmei Zhou, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 9, pp. 1-27
Open Access | Times Cited: 1
Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development
Shuo Zhang, Li Chen, Yingzi Li
Sustainability (2021) Vol. 13, Iss. 16, pp. 9263-9263
Open Access | Times Cited: 10
A Cluster-Then-Route Framework for Bike Rebalancing in Free-Floating Bike-Sharing Systems
Jiaqing Sun, Yulin He, Jiantong Zhang
Sustainability (2023) Vol. 15, Iss. 22, pp. 15994-15994
Open Access | Times Cited: 2
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