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 1-25 of 43 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 430

A rule-enhanced clustering approach to planning virtual stations for dockless shared micro-mobility systems
Jingxu Chen, Junyi Chen, Mingzhuang Hua, et al.
Research in Transportation Business & Management (2025) Vol. 59, pp. 101300-101300
Closed Access | Times Cited: 2

Fuzzy-based GIS approach with new MCDM method for bike-sharing station site selection according to land-use types
Ezgi Eren, Burak Yiğit Katanalp
Sustainable Cities and Society (2021) Vol. 76, pp. 103434-103434
Closed Access | Times Cited: 54

Green travel mobility of dockless bike-sharing based on trip data in big cities: A spatial network analysis
Hui Zhang, Chengxiang Zhuge, Jianmin Jia, et al.
Journal of Cleaner Production (2021) Vol. 313, pp. 127930-127930
Closed Access | Times Cited: 46

Investigate the effects of urban land use on PM2.5 concentration: An application of deep learning simulation
Liyuan Zhao, Ming Zhang, Si Cheng, et al.
Building and Environment (2023) Vol. 242, pp. 110521-110521
Closed Access | Times Cited: 18

Understanding user’s travel behavior and city region functions from station-free shared bike usage data
Ximing Chang, Jianjun Wu, Zhengbing He, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2020) Vol. 72, pp. 81-95
Closed Access | Times Cited: 42

Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology
Md. Uzzal Mia, Mahfuzur Rahman, Ahmed Elbeltagi, et al.
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-29
Open Access | Times Cited: 23

Predicting flood risks using advanced machine learning algorithms with a focus on Bangladesh: influencing factors, gaps and future challenges
Abu Reza Md. Towfiqul Islam, Md. Jannatul Naeem Jibon, Md. Abubakkor Siddik, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access

Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference
Xuehao Zhai, Junqi Jiang, Adam Dejl, et al.
Information Fusion (2025), pp. 103057-103057
Open Access

Transport Push-Pull Mobility Between Urban Districts: A Distance-Weighted Approach Based on Public Bicycle Flows
Lijun Chen, Zhiqiang Wang, Haiping Zhang
SAE technical papers on CD-ROM/SAE technical paper series (2025) Vol. 1
Closed Access

Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification
Sudeep D. Thepade, Mayuresh R. Dindorkar
Engineering Science and Technology an International Journal (2021) Vol. 27, pp. 101014-101014
Open Access | Times Cited: 20

Concordance between Regional Functions and Mobility Features Using Bike-sharing and Land-use Data near Metro Stations
Siyang Liu, Chenjing Zhou, Jian Rong, et al.
Sustainable Cities and Society (2022) Vol. 84, pp. 104010-104010
Closed Access | Times Cited: 14

Sustainable co-governance of smart bike-sharing schemes based on consumers’ perspective
Haiyun Chen, Ting Zhu, Jiazhen Huo, et al.
Journal of Cleaner Production (2020) Vol. 260, pp. 120949-120949
Closed Access | Times Cited: 17

A Brief Review of Recent Developments in the Integration of Deep Learning with GIS
Shyama Mohan, Giridhar M.V.S.S
Geomatics and Environmental Engineering (2022) Vol. 16, Iss. 2, pp. 21-38
Open Access | Times Cited: 11

Mining Multimodal Travel Mobilities with Big Ridership Data: Comparative Analysis of Subways and Taxis
Hui Zhang, Yu Cui, Jianmin Jia
Sustainability (2024) Vol. 16, Iss. 10, pp. 4305-4305
Open Access | Times Cited: 2

Optimizing shared bike systems for economic gain: Integrating land use and retail
Madiha Bencekri, Yee Van Fan, Doyun Lee, et al.
Journal of Transport Geography (2024) Vol. 118, pp. 103920-103920
Closed Access | Times Cited: 2

Probability -based typology for description of built environments around urban rail stations
Siyang Liu, Jian Rong, Chenjing Zhou, et al.
Building and Environment (2021) Vol. 205, pp. 108193-108193
Closed Access | Times Cited: 14

Public Bike Trip Purpose Inference Using Point-of-Interest Data
Jiwon Lee, Kiyun Yu, Jiyoung Kim
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 5, pp. 352-352
Open Access | Times Cited: 13

Temporal heterogeneous effects of land-use on dockless bike-sharing usage under transit-oriented development context: The case of Beijing
Siyang Liu, Xiaodong Zhang, Chenjing Zhou, et al.
Journal of Cleaner Production (2022) Vol. 380, pp. 134917-134917
Closed Access | Times Cited: 10

Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India
Debabrata Sarkar, Sunil Saha, Manab Maitra, et al.
Artificial Intelligence in Geosciences (2021) Vol. 2, pp. 179-191
Open Access | Times Cited: 12

How Rail Transit Makes a Difference in People’s Multimodal Travel Behaviours: An Analysis with the XGBoost Method
Lixun Liu, Yujiang Wang, Robin Hickman
Land (2023) Vol. 12, Iss. 3, pp. 675-675
Open Access | Times Cited: 5

A Comprehensive Review of the Recent Advancement in Integrating Deep Learning with Geographic Information Systems
Asif Raihan
Research Briefs on Information and Communication Technology Evolution (2023) Vol. 9, pp. 98-115
Open Access | Times Cited: 5

Soft Sensor with Deep Learning for Functional Region Detection in Urban Environments
Yicao Ma, Shifeng Liu, Gang Xue, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3348-3348
Open Access | Times Cited: 11

Mapping built environments from UAV imagery: a tutorial on mixed methods of deep learning and GIS
Xin Hong, Scott C. Sheridan, Dong Li
Computational Urban Science (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 7

Understanding multimodal travel mobilities of dockless bike-sharing and metro: A multilayer network analysis
Hui Zhang, Yu Cui
Physica A Statistical Mechanics and its Applications (2024) Vol. 648, pp. 129962-129962
Closed Access | Times Cited: 1

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