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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:

Forecasting public transit passenger demand: With neural networks using APC data
Shivaraj Halyal, Raviraj H. Mulangi, M. M. Harsha
Case Studies on Transport Policy (2022) Vol. 10, Iss. 2, pp. 965-975
Closed Access | Times Cited: 24

Showing 24 citing articles:

Online prediction of network-level public transport demand based on principle component analysis
Cheng Zhong, Peiling Wu, Qi Zhang, et al.
Communications in Transportation Research (2023) Vol. 3, pp. 100093-100093
Open Access | Times Cited: 36
Prediction of container throughput at Thailand’s major ports with error correction and parameter selection techniques emphasizes optimal smoothing period
Thoranin Sujjaviriyasup
Maritime Business Review (2025)
Open Access
Railway-station-area vitality in response to COVID-19: A case study of diverse Japanese cities
Jiannan Dai, Wenzhe Sun, Qing-Long Lu, et al.
Cities (2025) Vol. 162, pp. 105970-105970
Closed Access
Dynamic station criticality assessment of urban metro networks considering predictive passenger flow
Yuyang Shao, S. Thomas Ng, Jiduo Xing, et al.
Tunnelling and Underground Space Technology (2024) Vol. 154, pp. 106088-106088
Closed Access | Times Cited: 3
Deep-learning-based model for prediction of crowding in a public transit system
Arpit Shrivastava, Nishtha Rawat, Amit Agarwal
Public Transport (2024) Vol. 16, Iss. 2, pp. 449-484
Closed Access | Times Cited: 2
Origin-destination demand prediction of public transit using graph convolutional neural network
Nithin K. Shanthappa, Raviraj H. Mulangi, M. M. Harsha
Case Studies on Transport Policy (2024) Vol. 17, pp. 101230-101230
Closed Access | Times Cited: 2
Predicting bus ridership based on the weather conditions using deep learning algorithms
Zakir H. Farahmand, Konstantinos Gkiotsalitis, Karst Geurs
Transportation Research Interdisciplinary Perspectives (2023) Vol. 19, pp. 100833-100833
Open Access | Times Cited: 5
Hybrid short-term traffic flow prediction based on the effect of non-linear sequence noise
Gang Cheng, Yadong Liu
Electronic Research Archive (2024) Vol. 32, Iss. 2, pp. 707-732
Open Access | Times Cited: 1
Unleashing the Potential of Boosting Techniques to Optimize Station-Pairs Passenger Flow Forecasting
Madhuri Patel, Samir Patel, Debabrata Swain, et al.
Procedia Computer Science (2024) Vol. 235, pp. 32-44
Open Access | Times Cited: 1
Deep learning-based public transit passenger flow prediction model: integration of weather and temporal attributes
Nithin K. Shanthappa, Raviraj H. Mulangi, M. M. Harsha
Public Transport (2024)
Closed Access | Times Cited: 1
Analysis of bus travel characteristics and predictions of elderly passenger flow based on smart card data
Gang Cheng, Changliang He
Electronic Research Archive (2022) Vol. 30, Iss. 12, pp. 4256-4276
Open Access | Times Cited: 4
Underground Railway Station Passenger Flow Prediction Based on Long Short-Term Memory Neural Network
Yuyang Shao, S. Thomas Ng, C. Y. Kwok, et al.
Computing in Civil Engineering (2024), pp. 133-140
Closed Access
Forecasting the Number of Passengers in Rail System by Deep Learning Algorithms
Aslı Asutay, Onur Uğurlu
EAI/Springer Innovations in Communication and Computing (2024), pp. 31-43
Closed Access
Rider Re-Route Suggestions Using Demand Forecasting Based on Passenger's Routes and User Behaviour Analysis
Dharun.V.S, S. Bairavel, S. C., et al.
Research Square (Research Square) (2024)
Open Access
An Estimation Method for Passenger Flow Volumes from and to Bus Stops Based on Land Use Elements: An Experimental Study
Jianming Zhang, Jun Cai, Mengjia Wang, et al.
Land (2024) Vol. 13, Iss. 7, pp. 971-971
Open Access
Visualisation and Assessment of Seasonal Variations in Bus Passenger Mobility Pattern
K.S. Nithin, Raviraj H. Mulangi, Rishabh Sharma, et al.
Lecture notes in civil engineering (2024), pp. 307-315
Closed Access
Development and Comparison of Deep Learning and Statistical Models to Predict Bus Passenger Flow
K.S. Nithin, Raviraj H. Mulangi
Lecture notes in civil engineering (2024), pp. 317-326
Closed Access
Predicting Regional-Level Bus Stop Passenger Flow with a Multigraph Fusion Spatio-Temporal Graph Attention Network
Yan Zheng, Wen Zheng, Zijuan Yin, et al.
Journal of Transportation Engineering Part A Systems (2024) Vol. 151, Iss. 2
Closed Access
Short-term Prediction of Suzhou Rail Transit Passenger Flow Based on Combination Model
Jiawei Jiang, Jinbao Zhao, Wenjing Liu, et al.
Academic Journal of Science and Technology (2023) Vol. 5, Iss. 2, pp. 200-208
Open Access | Times Cited: 1
Bus Ridership Prediction with Time Section, Weather, and Ridership Trend Aware Multiple LSTM
Tatsuya Yamamura, Ismail Arai, Masatoshi Kakiuchi, et al.
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2023), pp. 509-514
Open Access | Times Cited: 1
Joint Optimization of Distance-Based Fares and Headway for Fixed-Route Bus Operations
Myungseob Kim, Eungcheol Kim
Sustainability (2023) Vol. 15, Iss. 21, pp. 15352-15352
Open Access | Times Cited: 1
Spatio-Temporal Factors Affecting Short-Term Public Transit Passenger Demand Prediction: A Review
K. Shanthappa Nithin, Raviraj H. Mulangi
Lecture notes in civil engineering (2023), pp. 421-430
Closed Access | Times Cited: 1
Analysis of the Effect of the Time Interval Between Samples on the Solar Forecasting
Carlos M. Travieso, Alejandro Piñán-Roescher
Lecture notes in computer science (2023), pp. 588-600
Closed Access
FORECASTING PUBLIC TRANSPORTATION PASSENGER DEMAND WITH SARIMA AND PROPHET METHODS
Gizem KÜÇÜKER, Özlem Uzun Araz
Endüstri Mühendisliği (2023) Vol. 34, Iss. 3, pp. 334-356
Open Access
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