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:

Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications
Eugenio Cesario, Paolo Lindia, Andrea Vinci
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 29-29
Open Access | Times Cited: 9

Showing 9 citing articles:

A scalable multi-density clustering approach to detect city hotspots in a smart city
Eugenio Cesario, Paolo Lindia, Andrea Vinci
Future Generation Computer Systems (2024) Vol. 157, pp. 226-236
Open Access | Times Cited: 9

A data‐driven adaptive geospatial hotspot detection approach in smart cities
Yuchen Yan, Wei Quan, Hua Wang
Transactions in GIS (2024) Vol. 28, Iss. 2, pp. 303-325
Closed Access | Times Cited: 3

Perspectives on Big Data, Cloud-Based Data Analysis and Machine Learning Systems
Fabrizio Marozzo, Domenico Talia
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 104-104
Open Access | Times Cited: 4

Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots
Eugenio Cesario, Paolo Lindia, Andrea Vinci
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Geo-temporal Crime Forecasting Using a Deep Learning Attention-Based Model
Fabio Caffaro, Lorenzo Bongiovanni, Claudio Rossi
Security informatics and law enforcement (2024), pp. 323-329
Open Access

How to Deal with Different Densities of Urban Spatial Data? A Comparison of Clustering Approaches to Detect City Hotspots
Eugenio Cesario, Paolo Lindia, Andrea Vinci
Lecture notes in computer science (2024), pp. 248-253
Closed Access

Actionable descriptors of spatiotemporal urban dynamics from large-scale mobile data: A case study in Lisbon city
Miguel G. Silva, Sara C. Madeira, Rui Henriques
Environment and Planning B Urban Analytics and City Science (2023) Vol. 51, Iss. 8, pp. 1725-1741
Open Access

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