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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:

Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests
Jie Bao, Chengcheng Xu, Pan Liu, et al.
Networks and Spatial Economics (2017) Vol. 17, Iss. 4, pp. 1231-1253
Closed Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

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: 380
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: 260
Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data
Enhui Chen, Zhirui Ye, Chao Wang, et al.
Cities (2019) Vol. 95, pp. 102359-102359
Closed Access | Times Cited: 125
Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China
Yingying Xing, Ke Wang, Jian Lü
Journal of Transport Geography (2020) Vol. 87, pp. 102787-102787
Closed Access | Times Cited: 104
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics
Aoyong Li, Pengxiang Zhao, Haitao He, et al.
Computers Environment and Urban Systems (2021) Vol. 90, pp. 101703-101703
Open Access | Times Cited: 102
Electric bike-sharing services mode substitution for driving, public transit, and cycling
Tomasz Bieliński, Agnieszka Kwapisz, Agnieszka Ważna
Transportation Research Part D Transport and Environment (2021) Vol. 96, pp. 102883-102883
Open Access | Times Cited: 92
A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China
Mengwei Chen, Dianhai Wang, Yilin Sun, et al.
Transportation (2018) Vol. 47, Iss. 2, pp. 689-704
Closed Access | Times Cited: 85
The Role of Bike Sharing in Promoting Transport Resilience
Lu Cheng, Zhifu Mi, D’Maris Coffman, et al.
Networks and Spatial Economics (2021) Vol. 22, Iss. 3, pp. 567-585
Open Access | Times Cited: 59
Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai
Kun Gao, Ying Yang, Aoyong Li, et al.
Transportation Research Part D Transport and Environment (2021) Vol. 94, pp. 102814-102814
Open Access | Times Cited: 57
Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data
Xiaoyi Zhang, Wenwen Li, Feng Zhang, et al.
ISPRS International Journal of Geo-Information (2018) Vol. 7, Iss. 12, pp. 459-459
Open Access | Times Cited: 70
Does greenness bring more green travelling? Evidence from free-floating bike-sharing in Beijing
Jiong Gao, Shoufeng Ma, Lei Wang, et al.
Journal of Transport Geography (2023) Vol. 109, pp. 103586-103586
Closed Access | Times Cited: 16
Demand forecasting of shared bicycles based on combined deep learning models
Changxi Ma, Tao Liu
Physica A Statistical Mechanics and its Applications (2024) Vol. 635, pp. 129492-129492
Closed Access | Times Cited: 7
Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes
Chao Chen, Chengwu Liao, Xuefeng Xie, et al.
Personal and Ubiquitous Computing (2018) Vol. 23, Iss. 1, pp. 53-66
Closed Access | Times Cited: 50
Using points-of-interest data to estimate commuting patterns in central Shanghai, China
Mengya Li, Mei‐Po Kwan, Fahui Wang, et al.
Journal of Transport Geography (2018) Vol. 72, pp. 201-210
Closed Access | Times Cited: 47
Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing
Pengfei Lin, Jiancheng Weng, Quan Liang, et al.
Networks and Spatial Economics (2019) Vol. 20, Iss. 1, pp. 1-17
Closed Access | Times Cited: 47
Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity
Yingjiu Pan, Shuyan Chen, Shifeng Niu, et al.
Journal of Transport Geography (2020) Vol. 83, pp. 102663-102663
Closed Access | Times Cited: 45
Revealing Spatio-Temporal Patterns and Influencing Factors of Dockless Bike Sharing Demand
Pengfei Lin, Jiancheng Weng, Song Hu, et al.
IEEE Access (2020) Vol. 8, pp. 66139-66149
Open Access | Times Cited: 41
Mobility pattern recognition based prediction for the subway station related bike-sharing trips
Ying Lv, Danyue Zhi, Huijun Sun, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 133, pp. 103404-103404
Closed Access | Times Cited: 37
Are shared electric scooters energy efficient?
Yuxuan Wang, Jiaming Wu, Kequan Chen, et al.
Communications in Transportation Research (2021) Vol. 1, pp. 100022-100022
Open Access | Times Cited: 34
A Bus Passenger Flow Prediction Model Fused with Point-of-Interest Data Based on Extreme Gradient Boosting
Wanjun Lv, Yongbo Lv, Q. Ouyang, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 940-940
Open Access | Times Cited: 24
Exploring topics and trends in Chinese ATC incident reports using a domain-knowledge driven topic model
Jie Bao, Yixuan Chen, Jianan Yin, et al.
Journal of Air Transport Management (2023) Vol. 108, pp. 102374-102374
Closed Access | Times Cited: 14
Spatiotemporal clustering analysis of shared electric vehicles based on trajectory data for sustainable urban governance
Lewen Bao, Zonglin Liu, Rui Miao, et al.
Journal of Cleaner Production (2023) Vol. 412, pp. 137373-137373
Closed Access | Times Cited: 13
Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data
Nitesh R. Shah, Jing Guo, Lee D. Han, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 173, pp. 103705-103705
Closed Access | Times Cited: 13
Is there a link between city characteristics and shared e-bike utilisation? Evidence from China
Qiumeng Li, Yawen Qin, Weipan Xu
Sustainable Cities and Society (2025), pp. 106008-106008
Closed Access
Differences in bike-sharing usage and its associations with station-surrounding characteristics: A multi-group analysis using machine learning techniques
Xiao Cai, Xinyue Gu, Siiri Silm, et al.
Journal of Transport Geography (2025) Vol. 125, pp. 104201-104201
Open Access
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