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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:

Improving crime count forecasts using Twitter and taxi data
Lara Vomfell, Wolfgang Karl Härdle, Stefan Lessmann
Decision Support Systems (2018) Vol. 113, pp. 73-85
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Predicting types of occupational accidents at construction sites in Korea using random forest model
Kyungsu Kang, Han-Guk Ryu
Safety Science (2019) Vol. 120, pp. 226-236
Closed Access | Times Cited: 176
Machine learning in crime prediction
Karabo Jenga, Cagatay Catal, Gorkem Kar
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 3, pp. 2887-2913
Open Access | Times Cited: 52
A Clustering Based Hotspot Identification Approach For Crime Prediction
Gaurav Hajela, Meenu Chawla, Akhtar Rasool
Procedia Computer Science (2020) Vol. 167, pp. 1462-1470
Open Access | Times Cited: 79
A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters
Shalak Mendon, Pankaj Dutta, Abhishek Behl, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 5, pp. 1145-1168
Open Access | Times Cited: 73
Location Reference Recognition from Texts: A Survey and Comparison
Xuke Hu, Zhiyong Zhou, Hao Li, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-37
Open Access | Times Cited: 34
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
Cristina Kadar, Rudolf Maculan, Stefan Feuerriegel
Decision Support Systems (2019) Vol. 119, pp. 107-117
Open Access | Times Cited: 62
Spatial crime distribution and prediction for sporting events using social media
Alina Ristea, Mohammad Al Boni, Bernd Resch, et al.
International Journal of Geographical Information Science (2020) Vol. 34, Iss. 9, pp. 1708-1739
Open Access | Times Cited: 62
Artificial intelligence & crime prediction: A systematic literature review
Fatima Dakalbab, Manar Abu Talib, Omnia Abu Waraga, et al.
Social Sciences & Humanities Open (2022) Vol. 6, Iss. 1, pp. 100342-100342
Open Access | Times Cited: 37
Detecting People on the Street and the Streetscape Physical Environment from Baidu Street View Images and Their Effects on Community-Level Street Crime in a Chinese City
Han Yue, Huafang Xie, Lin Liu, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 3, pp. 151-151
Open Access | Times Cited: 31
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area
Zhiyue Xia, Kathleen Stewart, Junchuan Fan
Computers Environment and Urban Systems (2021) Vol. 87, pp. 101599-101599
Open Access | Times Cited: 34
GazPNE2: A General Place Name Extractor for Microblogs Fusing Gazetteers and Pretrained Transformer Models
Xuke Hu, Zhiyong Zhou, Yeran Sun, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 17, pp. 16259-16271
Closed Access | Times Cited: 26
Geo-semantic-parsing: AI-powered geoparsing by traversing semantic knowledge graphs
Leonardo Nizzoli, Marco Avvenuti, Maurizio Tesconi, et al.
Decision Support Systems (2020) Vol. 136, pp. 113346-113346
Closed Access | Times Cited: 33
A data-driven agent-based simulation to predict crime patterns in an urban environment
Raquel Rosés, Cristina Kadar, Nick Malleson
Computers Environment and Urban Systems (2021) Vol. 89, pp. 101660-101660
Open Access | Times Cited: 28
Integrating Pretrained VGG19 and Bi-LSTM for Violence Detection in Video
Pablo Negre, Ricardo S. Alonso, Javier Prieto, et al.
Lecture notes in networks and systems (2025), pp. 139-149
Closed Access
Big Data and Social Media Analytics: Opportunities for Interactive Crime Mapping
Yunus Serhat Bicakci, Alina Ristea, Kate Bowers
Geotechnologies and the environment (2025), pp. 3-25
Closed Access
Twitter user geolocation using web country noun searches
Paola Zola, Paulo Cortez, Maurizio Carpita
Decision Support Systems (2019) Vol. 120, pp. 50-59
Open Access | Times Cited: 35
The Spillover Effect of Geotagged Tweets as a Measure of Ambient Population for Theft Crime
Minxuan Lan, Lin Liu, Andrés Hernández, et al.
Sustainability (2019) Vol. 11, Iss. 23, pp. 6748-6748
Open Access | Times Cited: 31
An anticrime information support system design: Application of K-means-VMD-BiGRU in the city of Chicago
Qing Zhu, Fan Zhang, Shan Liu, et al.
Information & Management (2019) Vol. 59, Iss. 5, pp. 103247-103247
Closed Access | Times Cited: 30
Survey on Crime Analysis and Prediction Using Data Mining and Machine Learning Techniques
P. Saravanan, J. Selvaprabu, L. Arun Raj, et al.
Lecture notes in electrical engineering (2020), pp. 435-448
Closed Access | Times Cited: 29
Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey
Rabindra Lamsal, Aaron Harwood, Maria A. Rodriguez
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-38
Open Access | Times Cited: 18
Investigating the effect of people on the street and streetscape physical environment on the location choice of street theft crime offenders using street view images and a discrete spatial choice model
Han Yue, Lin Liu, Luzi Xiao
Applied Geography (2023) Vol. 157, pp. 103025-103025
Closed Access | Times Cited: 10
Literature Review of Deep-Learning-Based Detection of Violence in Video
Pablo Negre, Ricardo S. Alonso, Alfonso González‐Briones, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 4016-4016
Open Access | Times Cited: 3
Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents
Bram Janssens, Matthias Bogaert, Mathijs Maton
Annals of Operations Research (2022) Vol. 325, Iss. 1, pp. 557-588
Open Access | Times Cited: 14
An Approximate Model for Event Detection From Twitter Data
Aarzoo Dhiman, Durga Toshniwal
IEEE Access (2020) Vol. 8, pp. 122168-122184
Open Access | Times Cited: 23
Spatio-temporal analysis of urban crime leveraging multisource crowdsensed data
Binbin Zhou, Longbiao Chen, Sha Zhao, et al.
Personal and Ubiquitous Computing (2021) Vol. 27, Iss. 3, pp. 599-612
Closed Access | Times Cited: 20
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