Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 26-50 of 38 citing articles:

Hybrid Neuro Genetic Causal Convolution based Autoencoders, for Traffic Prediction in Smart Cities
Gunasekar Thangarasu, Rao Alla Kesava, K Nattar Kannan
(2024), pp. 148-152
Closed Access
Hybrid Boostrapping BPNN-ARIMAX Model for Automobile Petrol Demand Forecasting
Kayalvizhi Subrmanian, Ibrahima Faye, Gunasekar Thangarasu, et al.
(2024), pp. 187-191
Closed Access
Performing Hybrid Predictions of Time Series in Head Based Aggregation Clusters
Rahul Vishnoi, J Bhuvana, Monika Abrol
(2024), pp. 1-6
Closed Access
Use of Regression Algorithm for Bike Ride Sharing Demand Projection
Husain Korasawala, Satyajit Pangaonkar, Reena Gunjan, et al.
Springer proceedings in mathematics & statistics (2024), pp. 183-192
Closed Access
Multi orthogonal review of modern demand forecasting lines and computational limitations in Green Urban mobility
G. ShivajiRao, A. Vincent Antony Kumar, M. Jaiganesh
E3S Web of Conferences (2024) Vol. 547, pp. 03007-03007
Open Access
Multi-Source Data-Driven Local-Global Dynamic Multi-Graph Convolutional Network for Bike-Sharing Demands Prediction
Juan Chen, Rui Huang
Algorithms (2024) Vol. 17, Iss. 9, pp. 384-384
Open Access
Mining bike sharing trip record data: a closer examination of the operating performance at station level
Hui Bi, Zhirui Ye, He Zhu
Transportation (2022) Vol. 51, Iss. 3, pp. 1015-1041
Closed Access | Times Cited: 2
Multivariate Demand Forecasting for Rental Bike Systems Based on an Unobserved Component Model
Christian Wirtgen, Matthias Kowald, Johannes Luderschmidt, et al.
Electronics (2022) Vol. 11, Iss. 24, pp. 4146-4146
Open Access | Times Cited: 2
Shared Bike Demand Prediction Based on Combined Deep Learnings
Chuanxiang Ren, Hui Xu, Chunxu Chai, et al.
(2023), pp. 200-203
Closed Access
Analysis of Time-Based Public Transport Demand Prediction Using OPTUNA Framework
Et al. R. Thiagarajan
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 4328-4336
Open Access
Leveraging AI-Based Approaches to Forecast Bike Demand in Smart Citites
Malliga Subramanian, Kogilavani Shanmuga Vadivel, Muhammad Sajid Hamid Akash, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 1069-1074
Closed Access
An Effective Data Driven Approach to Predict Bike Rental Demand
Md. Mahmudul Isalm, Md. Emran Biswas, Md Shahzamal, et al.
(2023)
Closed Access
AI-driven rental bicycle system: An Ensemble learning approach
Cu Kim Long, Trinh Thi Thu Hoang, Gloria Jeanette Rincón Aponte, et al.
Annals of Computer Science and Information Systems (2022) Vol. 38, pp. 35-39
Open Access
Previous Page - Page 2

Scroll to top