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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:

Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach
Hongtao Li, Kun Jin, Shaolong Sun, et al.
Applied Soft Computing (2022) Vol. 120, pp. 108644-108644
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Using empirical wavelet transform and high-order fuzzy cognitive maps for time series forecasting
Hossein Abbasian Mohammadi, Sedigheh Ghofrani, Ali Nikseresht
Applied Soft Computing (2023) Vol. 135, pp. 109990-109990
Closed Access | Times Cited: 37
Passenger flow forecasting approaches for urban rail transit: a survey
Qiuchi Xue, Wei Zhang, Meiling Ding, et al.
International Journal of General Systems (2023) Vol. 52, Iss. 8, pp. 919-947
Closed Access | Times Cited: 26
A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation
Hongtao Li, Yang Yu, Zhipeng Huang, et al.
Expert Systems with Applications (2023) Vol. 226, pp. 120140-120140
Closed Access | Times Cited: 24
Time series forecasting model for non-stationary series pattern extraction using deep learning and GARCH modeling
Huimin Han, Zehua Liu, Mauricio Barrios, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 11
An Enhanced TimesNet-SARIMA Model for Predicting Outbound Subway Passenger Flow with Decomposition Techniques
Tianzhuo Zuo, Shaohu Tang, Liang Zhang, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2874-2874
Open Access | Times Cited: 1
Incorporating CNN-LSTM and SVM with wavelet transform methods for tourist passenger flow prediction
Qian Xu
Soft Computing (2024) Vol. 28, Iss. 3, pp. 2719-2736
Closed Access | Times Cited: 7
Machine Learning for public transportation demand prediction: A Systematic Literature Review
Franca Rocco di Torrepadula, Enea Vincenzo Napolitano, Sergio Di Martino, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109166-109166
Closed Access | Times Cited: 5
Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review
Jingwen Xiong, Lunhui Xu, Zhuoyan Wei, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123646-123646
Closed Access | Times Cited: 4
Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity
Junqing Tang, Jing Wang, Jiaying Li, et al.
Computers Environment and Urban Systems (2024) Vol. 113, pp. 102160-102160
Open Access | Times Cited: 4
Pffm-se: a passenger flow forecasting model for urban rail transit based on multimodal fusion of AFC and social media sentiment under special events
Dingkai Zhang
Transportation (2025)
Closed Access
Short‐Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System
Guowen Dai, Jinjun Tang, Jie Zeng, et al.
Journal of Advanced Transportation (2025) Vol. 2025, Iss. 1
Open Access
Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series
Dung David Chuwang, Weiya Chen, Ming Zhong
Applied Soft Computing (2023) Vol. 147, pp. 110740-110740
Closed Access | Times Cited: 10
DBSTGNN-Att: Dual Branch Spatio-Temporal Graph Neural Network with an Attention Mechanism for Cellular Network Traffic Prediction
Zengyu Cai, Chunchen Tan, Jianwei Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2173-2173
Open Access | Times Cited: 2
Inclusive accessibility: Analyzing socio-economic disparities in perceived accessibility
Armita Kar, Ningchuan Xiao, Harvey J. Miller, et al.
Computers Environment and Urban Systems (2024) Vol. 114, pp. 102202-102202
Closed Access | Times Cited: 2
A Time Series Decomposition and Reinforcement Learning Ensemble Method for Short-Term Passenger Flow Prediction in Urban Rail Transit
Jinxin Wu, Deqiang He, Xianwang Li, et al.
Urban Rail Transit (2023) Vol. 9, Iss. 4, pp. 323-351
Open Access | Times Cited: 5
Cellular traffic forecasting based on inverted transformer for mobile perception dual-level base station sleep control
Jianwei Zhang, Chunchen Tan, Zengyu Cai, et al.
Ad Hoc Networks (2024) Vol. 161, pp. 103505-103505
Closed Access | Times Cited: 1
Multivariable forecasting approach of high‐speed railway passenger demand based on residual term of Baidu search index and error correction
Hongtao Li, Xiaoxuan Li, Shaolong Sun, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2401-2433
Closed Access | Times Cited: 1
Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting
Yunxia Liu, Wei Peng, Haixia Wang, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9989-10014
Closed Access | Times Cited: 1
Real-Time Traffic Flow Uncertainty Quantification Based on Nonparametric Probability Density Function Estimation
Meiye Li, Jianhua Guo, Xiao-Bin Zhong
Journal of Transportation Engineering Part A Systems (2024) Vol. 150, Iss. 11
Closed Access | Times Cited: 1
A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction
Yong Luo, Jianying Zheng, Xiang Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 15248-15258
Closed Access | Times Cited: 3
MOHP-EC: A Multiobjective Hierarchical Prediction Framework for Urban Rail Transit Passenger Flow
Wenbo Lu, Jinhua Xu, Yong Zhang, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 15, Iss. 4, pp. 86-105
Closed Access | Times Cited: 2
Short-term Bus Passenger Flow Forecast Based on CNN-BiLSTM
Chaohua Wu, Xingzu Qi
Advances in Engineering Technology Research (2023) Vol. 5, Iss. 1, pp. 448-448
Open Access | Times Cited: 2
Optimal congestion control strategies for near-capacity urban metros: Informing intervention via fundamental diagrams
Anupriya, Daniel J. Graham, Prateek Bansal, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 609, pp. 128390-128390
Open Access | Times Cited: 4
Point and interval forecasting approach for short-term urban subway passenger flow based on residual term decomposition and fuzzy information granulation
Duo Chen, Hongtao Li, Shaolong Sun, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112187-112187
Closed Access
Oriented to a multi-learning mode: establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting
Yuqing Tang, Fusheng Yu, Witold Pedrycz, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112195-112195
Closed Access
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