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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:

The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets
Chengcheng Xu, Junyi Ji, Pan Liu
Transportation Research Part C Emerging Technologies (2018) Vol. 95, pp. 47-60
Closed Access | Times Cited: 261

Showing 1-25 of 261 citing articles:

Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang, Jiannong Cao, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3681-3700
Open Access | Times Cited: 548
Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach
Lei Lin, Zhengbing He, Srinivas Peeta
Transportation Research Part C Emerging Technologies (2018) Vol. 97, pp. 258-276
Open Access | Times Cited: 385
Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system
Siyu Hao, Der‐Horng Lee, De Zhao
Transportation Research Part C Emerging Technologies (2019) Vol. 107, pp. 287-300
Closed Access | Times Cited: 206
A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data
Xinwei Ma, Yanjie Ji, Yufei Yuan, et al.
Transportation Research Part A Policy and Practice (2020) Vol. 139, pp. 148-173
Open Access | Times Cited: 197
A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system
Yuchuan Du, Fuwen Deng, Feixiong Liao
Transportation Research Part C Emerging Technologies (2019) Vol. 103, pp. 39-55
Open Access | Times Cited: 166
A temporal fusion transformer for short-term freeway traffic speed multistep prediction
Hao Zhang, Yajie Zou, Xiaoxue Yang, et al.
Neurocomputing (2022) Vol. 500, pp. 329-340
Closed Access | Times Cited: 72
Machine learning for geographically differentiated climate change mitigation in urban areas
Nikola Milojevic-Dupont, Felix Creutzig
Sustainable Cities and Society (2020) Vol. 64, pp. 102526-102526
Closed Access | Times Cited: 121
Applications of Deep Learning in Intelligent Transportation Systems
Arya Haghighat, Varsha Ravichandra-Mouli, Pranamesh Chakraborty, et al.
Journal of Big Data Analytics in Transportation (2020) Vol. 2, Iss. 2, pp. 115-145
Closed Access | Times Cited: 102
Identifying the nonlinear relationship between free-floating bike sharing usage and built environment
Enhui Chen, Zhirui Ye
Journal of Cleaner Production (2020) Vol. 280, pp. 124281-124281
Closed Access | Times Cited: 97
Optimizing bike sharing systems from the life cycle greenhouse gas emissions perspective
Hao Luo, Fu Zhao, Wei‐Qiang Chen, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 117, pp. 102705-102705
Closed Access | Times Cited: 85
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo, Ibai Laña, Javier Del Ser
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 6164-6188
Open Access | Times Cited: 83
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems
Yuanxuan Yang, Alison Heppenstall, Andy Turner, et al.
Computers Environment and Urban Systems (2020) Vol. 83, pp. 101521-101521
Open Access | Times Cited: 82
Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting
Ammar Mohamed Aamer, Luh Putu Eka Yani, I Made Alan Priyatna
Operations and Supply Chain Management An International Journal (2020), pp. 1-13
Open Access | Times Cited: 75
Traffic Flow Forecast Through Time Series Analysis Based on Deep Learning
Jianhu Zheng, Ming-Fang Huang
IEEE Access (2020) Vol. 8, pp. 82562-82570
Open Access | Times Cited: 73
Short-Term Traffic Prediction With Deep Neural Networks: A Survey
Kyung‐Eun Lee, Moonjung Eo, Euna Jung, et al.
IEEE Access (2021) Vol. 9, pp. 54739-54756
Open Access | Times Cited: 59
Examining the associations between perceived built environment and active travel, before and after the COVID-19 outbreak in Shiraz city, Iran
Amin Shaer, Meysam Rezaei, Behnam Moghani Rahimi, et al.
Cities (2021) Vol. 115, pp. 103255-103255
Open Access | Times Cited: 58
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions
Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Omar Khadeer Hussain, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118604-118604
Open Access | Times Cited: 55
Deep learning applications in manufacturing operations: a review of trends and ways forward
Saumyaranjan Sahoo, Satish Kumar, Mohammad Zoynul Abedin, et al.
Journal of Enterprise Information Management (2022) Vol. 36, Iss. 1, pp. 221-251
Closed Access | Times Cited: 54
The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods
Şule Öztürk Birim, İpek Kazançoğlu, Sachin Kumar Mangla, et al.
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 131-161
Open Access | Times Cited: 44
Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processes
Meng Xu, Yining Di, Hai Yang, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 147, pp. 104015-104015
Closed Access | Times Cited: 26
Exploring spatio-temporal pattern heterogeneity of dockless bike-sharing system: Links with cycling environment
Wei Gao, Xiaowei Hu, Naihui Wang
Transportation Research Part D Transport and Environment (2023) Vol. 117, pp. 103657-103657
Closed Access | Times Cited: 24
Real-time smart video surveillance to manage safety: A case study of a transport mega-project
Hanbin Luo, Jiajing Liu, Weili Fang, et al.
Advanced Engineering Informatics (2020) Vol. 45, pp. 101100-101100
Closed Access | Times Cited: 70
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
Estimating the parking demand of free-floating bike sharing: A journey-data-based study of Nanjing, China
Mingzhuang Hua, Xuewu Chen, Shujie Zheng, et al.
Journal of Cleaner Production (2019) Vol. 244, pp. 118764-118764
Closed Access | Times Cited: 65
A static bike repositioning model in a hub-and-spoke network framework
Di Huang, Xinyuan Chen, Zhiyuan Liu, et al.
Transportation Research Part E Logistics and Transportation Review (2020) Vol. 141, pp. 102031-102031
Open Access | Times Cited: 65
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