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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:

Identification of land-use characteristics using bicycle sharing data: A deep learning approach
Jiahui Zhao, Wei Fan, Xuehao Zhai
Journal of Transport Geography (2019) Vol. 82, pp. 102562-102562
Closed Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Land‐use dynamic discovery based on heterogeneous mobility sources
Fernando Terroso-Sáenz, Andrés Muñoz, Francisco Arcas-Túnez
International Journal of Intelligent Systems (2020) Vol. 36, Iss. 1, pp. 478-525
Closed Access | Times Cited: 10
Using traffic data to identify land-use characteristics based on ensemble learning approaches
Jiahui Zhao, Zhibin Li, Pan Liu
Journal of Transport and Land Use (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Creating a Comprehensive Method for the Evaluation of a Company
Jakub Horák, Tomáš Krulický, Zuzana Rowland, et al.
Sustainability (2020) Vol. 12, Iss. 21, pp. 9114-9114
Open Access | Times Cited: 7
Dimension Reduction in the Topology of Multilayer Spatial Networks: The Case of the Interregional Commuting in Greece
Dimitrios Tsiotas, Vassilis Tselios
Networks and Spatial Economics (2022) Vol. 23, Iss. 1, pp. 97-133
Open Access | Times Cited: 4
Comparing the Deep Convolutional Neural Network Models for Identification of Aerial Image Land Use
Sudeep D. Thepade, Sahil S Adrakatti, Sandeep Chauhan, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023) Vol. 89, pp. 1-7
Closed Access | Times Cited: 1
Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago
Adrian Hernandez, Meredith Raymer, Ying Chen
Transportation Research Interdisciplinary Perspectives (2024) Vol. 23, pp. 101015-101015
Open Access
Spatial-temporal deep learning model based on Similarity Principle for dock shared bicycles ridership prediction
Jiahui Zhao, Zhibin Li, Pan Liu, et al.
Journal of Transport and Land Use (2024) Vol. 17, Iss. 1, pp. 115-142
Open Access
Flash flood risk mapping using Analytic Hierarchy Process and machine learning: case of Souk-Ahras City, Northeastern Algeria
Elhadi Mechentel, Sabri Dairi, Yassine Djebbar, et al.
Research Square (Research Square) (2024)
Open Access
Decision System Based on Markov Chains for Sizing the Rebalancing Fleet of Bike Sharing Stations
Horațiu Florian, Camelia Avram, Dan Radu, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6743-6743
Open Access
Flood Susceptibility Mapping in District Jhang Using Remote Sensing and Advanced Machine Learning Techniques
Attaullah Shah, Muhammad Farooq Iqbal
(2024), pp. 1-6
Closed Access
Using Data on Bike-Sharing System User Stopovers in Smart Tourism: A Case Study
Krystian Banet
Communications - Scientific letters of the University of Zilina (2021) Vol. 23, Iss. 2, pp. G1-G12
Open Access | Times Cited: 3
An Empirical Study on the Effects of Fine Dust Concentration on the Utilisation of Shared Bicycles
An youngsoo, Seongman Jang
Applied Spatial Analysis and Policy (2021) Vol. 15, Iss. 3, pp. 873-889
Closed Access | Times Cited: 2
Modelling Bottlenecks of Bike-Sharing Travel Using the Distinction between Endogenous and Exogenous Demand: A Case Study in Beijing
Chao Sun, Jian Lü
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 11, pp. 551-551
Open Access | Times Cited: 1
Correlation between Land Use Pattern and Urban Rail Ridership Based on Bicycle-Sharing Trajectory
Xiangyu Li, Gobi Krishna Sinniah, Ruiwei Li, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 12, pp. 589-589
Open Access | Times Cited: 1
Enhancing Land Use Identification Through Fusion of Densenet121 DCNN and Thepade SBTC Features Using Machine Learning Algorithms and Ensembles
Sudeep D. Thepade, Sandeep Chauhan
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access
A Novel Interpretability Evaluation Framework to Understand Deep Learning Traffic Prediction Models
Xuehao Zhai, Fangce Guo, Aruna Sivakumar
SSRN Electronic Journal (2022)
Closed Access
Opening the Black Box: An Interpretability Evaluation Framework Using Land-Use Probing Tasks to Understand Deep Learning Traffic Prediction Models
Xuehao Zhai, Fangce Guo, Aruna Sivakumar
SSRN Electronic Journal (2022)
Closed Access
Land Use Identification of the Metropolitan Area of Guadalajara Using Bicycle Data: an Unsupervised Classification Approach
Dulce M. Gracia-Rivera, Iván E. Villalón-Turrubiates
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2022), pp. 5129-5132
Open Access
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