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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:

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

Showing 1-25 of 26 citing articles:

AGNP: Network-wide short-term probabilistic traffic speed prediction and imputation
Meng Xu, Yining Di, Hongxing Ding, et al.
Communications in Transportation Research (2023) Vol. 3, pp. 100099-100099
Open Access | Times Cited: 29
Revealing the driving factors and mobility patterns of bike-sharing commuting demands for integrated public transport systems
Bing Zhu, Simon Hu, Ioannis Kaparias, et al.
Sustainable Cities and Society (2024) Vol. 104, pp. 105323-105323
Closed Access | Times Cited: 11
Graph transformer embedded deep learning for short-term passenger flow prediction in urban rail transit systems: A multi-gate mixture-of-experts model
Songhua Hu, Jianhua Chen, Wei Zhang, et al.
Information Sciences (2024) Vol. 679, pp. 121095-121095
Closed Access | Times Cited: 8
Bike-Sharing Ridership Prediction for Network Expansion Using Graph Neural Networks
Ghazaleh Mohseni Hosseinabadi, Mehdi Nourinejad, Peter Y. Park
(2025)
Closed Access
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches
C. Peláez‐Rodríguez, Jorge Pérez‐Aracil, Dušan Fister, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122264-122264
Open Access | Times Cited: 10
Hot rolled prognostic approach based on hybrid Bayesian progressive layered extraction multi-task learning
Shuxin Zhang, Zhitao Liu, Tao An, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123763-123763
Closed Access | Times Cited: 3
A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs
Wenbo Du, Shenwen Chen, Zhishuai Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 1, pp. 532-544
Closed Access | Times Cited: 8
Understanding bike-sharing usage patterns of members and casual users: A case study in New York City
Kehua Wang, Xiaoyu Yan, Zheng Zhu, et al.
Travel Behaviour and Society (2024) Vol. 36, pp. 100793-100793
Closed Access | Times Cited: 2
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Dongran Zhang, Jiangnan Yan, Kemal Polat, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102533-102533
Closed Access | Times Cited: 2
Demand forecasting and predictability identification of ride-sourcing via bidirectional spatial-temporal transformer neural processes
Chuanjia Li, Maosi Geng, Yong Chen, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 158, pp. 104427-104427
Open Access | Times Cited: 7
Multimodal Joint Prediction of Traffic Spatial-Temporal Data with Graph Sparse Attention Mechanism and Bidirectional Temporal Convolutional Network
Dongran Zhang, Jiangnan Yan, Kemal Polat, et al.
(2024)
Closed Access | Times Cited: 2
Ebike Sharing vs. Bike Sharing: Demand Prediction Using Deep Neural Networks and Random Forests
Maren Schnieder
Sustainability (2023) Vol. 15, Iss. 18, pp. 13898-13898
Open Access | Times Cited: 6
Adaptive generative adjustable electric fence method and internal obstacle detection
Yixiao Liu, Zihao Tian, Lixin Tian, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 162, pp. 104601-104601
Closed Access | Times Cited: 1
A non-local grouping tensor train decomposition model for travel demand analysis concerning categorical independent variables
Zheng Zhu, Meng Xu, Kehua Wang, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 157, pp. 104396-104396
Closed Access | Times Cited: 4
Recent advances in deep learning for traffic probabilistic prediction
Long Cheng, Da Lei, Sui Tao
Transport Reviews (2024) Vol. 44, Iss. 6, pp. 1129-1135
Open Access | Times Cited: 1
Multi-Platform dynamic game and operation of hybrid Bike-Sharing systems based on reinforcement learning
Ziyi Shi, Meng Xu, Yancun Song, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 181, pp. 103374-103374
Open Access | Times Cited: 3
Synchronous Prediction then Instantaneous Optimization for Dynamic Large-Scale Bike-Sharing Repositioning Problem
Zifan Kang, Ximimg Chang, Huijun Sun, et al.
(2024)
Closed Access
A copula-based approach for multi-modal demand dependence modeling: Temporal correlation between demand of subway and bike-sharing
Yining Di, Meng Xu, Zheng Zhu, et al.
Travel Behaviour and Society (2024) Vol. 38, pp. 100908-100908
Closed Access
Promoting sustainable usage behavior in the sharing economy business model: A study based on bike-sharing
Lan Gao, Jing Wang, Xia Wu
Research in Transportation Business & Management (2024) Vol. 57, pp. 101241-101241
Closed Access
CGA-STNet: A dockless shared bicycle demand prediction model considering multiple spatial features and time periodicity
Hanqiang Qian, Jiachen Wang, Yanyan Chen, et al.
Expert Systems with Applications (2024) Vol. 265, pp. 126100-126100
Closed Access
Maasformer-Mmoe: Multi-Task Transformer Under Mixture-of-Experts Framework for Maas Bundle Customization
Haoning Xi, Shao Zhiiqi, David A. Hensher, et al.
(2024)
Closed Access
Bike-Share Ridership Prediction for Network Expansion Using Graph Neural Networks
Ghazaleh Mohseni, Mehdi Nourinejad, Peter Y. Park
(2024)
Closed Access
Dynamic matching radius decision model for on-demand ride services: A deep multi-task learning approach
Taijie Chen, Zijian Shen, Siyuan Feng, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 193, pp. 103822-103822
Closed Access
Accurate and Interpretable Driving Style Recognition with Unbalanced Data: A Diffusion Ft Transformer with Attentive Neural Process
Huan Xu, Zhizhou Wu, Yunyi Liang
(2024)
Closed Access
MaaSformer-MMOE: Multi-task Transformer Under Mixture-of-Experts Framework for MaaS Bundle Customization
Haoning Xi, Shao Zhiiqi, David A. Hensher, et al.
(2024)
Closed Access
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