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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:

Urban human mobility data mining: An overview
Kai Zhao, Sasu Tarkoma, Siyuan Liu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2016), pp. 1911-1920
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang, Paul Patras, Hamed Haddadi
IEEE Communications Surveys & Tutorials (2019) Vol. 21, Iss. 3, pp. 2224-2287
Open Access | Times Cited: 1498
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, et al.
IEEE Communications Surveys & Tutorials (2017) Vol. 19, Iss. 4, pp. 2432-2455
Closed Access | Times Cited: 759
A Survey on Deep Learning for Human Mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, et al.
ACM Computing Surveys (2021) Vol. 55, Iss. 1, pp. 1-44
Open Access | Times Cited: 167
Machine learning for geographically differentiated climate change mitigation in urban areas
Nikola Milojevic-Dupont, Felix Creutzig
Sustainable Cities and Society (2020) Vol. 64, pp. 102526-102526
Closed Access | Times Cited: 118
Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications
Alex Neilson, Indratmo, Ben Kei Daniel, et al.
Big Data Research (2019) Vol. 17, pp. 35-44
Closed Access | Times Cited: 109
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems
Ramón Iglesias, Federico Rossi, Kevin Wang, et al.
(2018)
Open Access | Times Cited: 102
Exploring Trajectory Prediction Through Machine Learning Methods
Chujie Wang, Lin Ma, Rongpeng Li, et al.
IEEE Access (2019) Vol. 7, pp. 101441-101452
Open Access | Times Cited: 99
TRec: an efficient recommendation system for hunting passengers with deep neural networks
Zhenhua Huang, Guangxu Shan, Jiujun Cheng, et al.
Neural Computing and Applications (2018) Vol. 31, Iss. S1, pp. 209-222
Closed Access | Times Cited: 88
Urban Anomaly Analytics: Description, Detection, and Prediction
Mingyang Zhang, Tong Li, Yue Yu, et al.
IEEE Transactions on Big Data (2020) Vol. 8, Iss. 3, pp. 809-826
Open Access | Times Cited: 80
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data
Luca Pappalardo, Filippo Simini, Gianni Barlacchi, et al.
Journal of Statistical Software (2022) Vol. 103, Iss. 4
Open Access | Times Cited: 67
Big Data Processing and Analysis in Internet of Vehicles: Architecture, Taxonomy, and Open Research Challenges
Ansif Arooj, Muhammad Shoaib Farooq, Aftab Akram, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 793-829
Closed Access | Times Cited: 66
COVID-19 is linked to changes in the time–space dimension of human mobility
Clodomir Santana, Federico Botta, Hugo Barbosa, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 10, pp. 1729-1739
Open Access | Times Cited: 26
Scope of machine learning applications for addressing the challenges in next‐generation wireless networks
Raj Kumar Samanta, Bikash Sadhukhan, Hiranmay Samaddar, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 3, pp. 395-418
Open Access | Times Cited: 28
Zooming into mobility to understand cities: A review of mobility-driven urban studies
Ruoxi Wang, Xinyuan Zhang, Nan Li
Cities (2022) Vol. 130, pp. 103939-103939
Closed Access | Times Cited: 28
Toward Understanding Crowd Mobility in Smart Cities through the Internet of Things
Gürkan Solmaz, Fang–Jing Wu, Flavio Cirillo, et al.
IEEE Communications Magazine (2019) Vol. 57, Iss. 4, pp. 40-46
Open Access | Times Cited: 53
Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability
Chao Zhang, Kai Zhao, Meng Chen
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 27
Mobility Data Science: Perspectives and Challenges
Mohamed F. Mokbel, Mahmoud Sakr, Li Xiong, et al.
ACM Transactions on Spatial Algorithms and Systems (2024) Vol. 10, Iss. 2, pp. 1-35
Open Access | Times Cited: 5
Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow
Xiaoxiao Wang, Haiping Zhang, Z. Li, et al.
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 1, pp. 24-24
Open Access
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
Xiaojie Yang, Hangli Ge, Jiawei Wang, et al.
(2025), pp. 1773-1784
Closed Access
Advancing Passenger Next Station Prediction via Collaborative Knowledge Graph Representational Learning
Xiaoqi Duan, Jianlong Wang, Zhibang Xu, et al.
(2025)
Closed Access
Extraction and monitoring approach of dynamic urban commercial area using check-in data from Weibo
Qingwu Hu, Guikai Bai, Shaohua Wang, et al.
Sustainable Cities and Society (2018) Vol. 45, pp. 508-521
Closed Access | Times Cited: 38
Data Driven Service Orchestration for Vehicular Networks
Anestis Dalgkitsis, Prodromos‐Vasileios Mekikis, Angelos Antonopoulos, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 7, pp. 4100-4109
Open Access | Times Cited: 37
A survey on next location prediction techniques, applications, and challenges
Ayele Gobezie Chekol, Marta Sintayehu Fufa
EURASIP Journal on Wireless Communications and Networking (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 19
Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data
Carson K. Leung, Calvin S. H. Hoi, Adam G.M. Pazdor, et al.
2021 IEEE International Conference on Big Data (Big Data) (2018)
Closed Access | Times Cited: 33
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang, Paul Patras, Hamed Haddadi
arXiv (Cornell University) (2018)
Open Access | Times Cited: 32
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