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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:

Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models
Songhua Hu, Chenfeng Xiong, Peng Chen, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 174, pp. 103743-103743
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Evaluating equitable Transit-Oriented development (TOD) via the Node-Place-People model
Yingrui Zhao, Songhua Hu, Ming Zhang
Transportation Research Part A Policy and Practice (2024) Vol. 185, pp. 104116-104116
Closed Access | Times Cited: 7
Effects of buffer size on associations between the built environment and metro ridership: A machine learning-based sensitive analysis
Xiang Liu, Xiaohong Chen, Mingshu Tian, et al.
Journal of Transport Geography (2023) Vol. 113, pp. 103730-103730
Closed Access | Times Cited: 17
Exploring non-linear effects of environmental factors on the volume of pedestrians of different ages using street view images and computer vision technology
Dongwei Liu, Yi Lü, Linchuan Yang
Travel Behaviour and Society (2024) Vol. 36, pp. 100814-100814
Closed Access | Times Cited: 6
Nonlinear effects of changes in the built environment and life events on mode choice: A longitudinal analysis
Senkai Xie, Feixiong Liao
Transportation Research Part A Policy and Practice (2025) Vol. 194, pp. 104417-104417
Open Access
Built environments and obesity: A framework considering residences, commute routes, and workplaces
Chun Yin, Zhe Zhang, Shaoqing Dai, et al.
Cities (2025) Vol. 160, pp. 105842-105842
Closed Access
Understanding metro origin-destination passenger flow dynamics: a novel entropy and machine learning perspective
Shichao Sun, Ying Xing
Transportation Planning and Technology (2025), pp. 1-26
Closed Access
An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning
Huitao Lv, Haojie Li, Yanlu Chen, et al.
Journal of Transport Geography (2023) Vol. 113, pp. 103716-103716
Closed Access | Times Cited: 10
The relationship between accessibility and land prices: A focus on accessibility to transit in the 15-min city
Zijuan Yin, Wenquan Li, Congcong Li, et al.
Travel Behaviour and Society (2024) Vol. 38, pp. 100914-100914
Closed Access | Times Cited: 3
Heterogeneity in route choice during peak hours: Implications on travel demand management
Jihao Deng, Tianhao Li, Zhiwei Yang, et al.
Travel Behaviour and Society (2024) Vol. 38, pp. 100922-100922
Closed Access | Times Cited: 3
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Qiao Peng, Yassine Bakkar, Liangpeng Wu, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 179, pp. 103947-103947
Closed Access | Times Cited: 8
Predicting travel mode choice with a robust neural network and Shapley additive explanations analysis
Li Tang, Chuanli Tang, Qi Fu, et al.
IET Intelligent Transport Systems (2024) Vol. 18, Iss. 7, pp. 1339-1354
Open Access | Times Cited: 2
Understanding factors influencing user engagement in incentive-based travel demand management program
Songhua Hu, Chenfeng Xiong, Ya Ji, et al.
Transportation Research Part A Policy and Practice (2024) Vol. 186, pp. 104145-104145
Closed Access | Times Cited: 2
Predicting Hardness of Graphene-added Si3N4 using Machine Learning: A Data-Driven Approach
Awais Qadir, Shoaib Ali, Ján Dusza, et al.
Open Ceramics (2024) Vol. 19, pp. 100634-100634
Open Access | Times Cited: 2
Multi-crowdsourced data fusion for modeling link-level traffic resilience to adverse weather events
Songhua Hu, Kailai Wang, Lingyao Li, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 112, pp. 104754-104754
Closed Access | Times Cited: 2
Shared travel demand forecasting and multi-phase vehicle relocation optimization for electric carsharing systems
Ning Wang, Hangqi Tian, Gang Wu, et al.
Transportation Letters (2023) Vol. 16, Iss. 9, pp. 1002-1017
Closed Access | Times Cited: 4
Should transit-oriented development consider station age effects?
Xiang Liu, Xiaohong Chen, Gao Ya, et al.
Transportation Research Part D Transport and Environment (2024) Vol. 133, pp. 104273-104273
Closed Access | Times Cited: 1
Transport behavior and government interventions in pandemics: A hybrid explainable machine learning for road safety
Ismail Abdulrashid, Reza Zanjirani Farahani, Shamkhal Mammadov, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 193, pp. 103841-103841
Closed Access | Times Cited: 1
Prediction of Spatial Distribution of Soil Organic Carbon in Helan Farmland Based on Different Prediction Models
Yuhan Zhang, Youqi Wang, Yi‐Ru Bai, et al.
Land (2023) Vol. 12, Iss. 11, pp. 1984-1984
Open Access | Times Cited: 3
Supply level planning for shared e-scooters considering spatiotemporal heteroscedastic demand
Narith Saum, Mongkut Piantanakulchai, Satoshi Sugiura
Transportation Research Interdisciplinary Perspectives (2024) Vol. 23, pp. 101019-101019
Open Access
Explaining deep learning-based activity schedule models using SHapley Additive exPlanations
Anil Koushik, M. Manoj, N. Nezamuddin
Transportation Letters (2024), pp. 1-16
Closed Access
Data Fusion for Travel Analysis: Linking Travel Survey and Mobile Device Location Data
Guangchen Zhao, Mohammad B. Al-Khasawneh, Tiziana Tuoto, et al.
Research Square (Research Square) (2024)
Open Access
Explainable machine learning model of disorganisation in swarms of drones
Marta Gackowska-Kątek, Piotr Cofta
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Explainable artificial intelligence for machine learning prediction of bandgap energies
Taichi Masuda, Katsuaki Tanabe
Journal of Applied Physics (2024) Vol. 136, Iss. 17
Closed Access
Exploring the built environment impacts on Online Car-hailing waiting time: An empirical study in Beijing
Jianhui Lai, Yanyan Wang, Yang Yang, et al.
Computers Environment and Urban Systems (2024) Vol. 115, pp. 102205-102205
Closed Access
Analyzing Key Factors Influencing Human Mobility Before and During COVID‐19 With Explainable Machine Learning
Wang Ping-ping, Yihong Yuan
Transactions in GIS (2024)
Closed Access
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