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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:

Linked Open Government Data to Predict and Explain House Prices: The Case of Scottish Statistics Portal
Areti Karamanou, Evangelos Kalampokis, Konstantinos Tarabanis
Big Data Research (2022) Vol. 30, pp. 100355-100355
Closed Access | Times Cited: 23

Showing 23 citing articles:

AI-Based on Machine Learning Methods for Urban Real Estate Prediction: A Systematic Survey
Stéphane Cédric Koumetio Tekouabou, Ștefan Cristian Gherghina, E.D. Kameni, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1079-1095
Closed Access | Times Cited: 17
Graph Neural Networks and Open-Government Data to Forecast Traffic Flow
Petros Brimos, Areti Karamanou, Evangelos Kalampokis, et al.
Information (2023) Vol. 14, Iss. 4, pp. 228-228
Open Access | Times Cited: 16
Understanding the Use of Emerging Technologies in the Public Sector: A Review of Horizon 2020 Projects
Evangelos Kalampokis, Nikos Karacapilidis, Dimitris Tsakalidis, et al.
Digital Government Research and Practice (2023) Vol. 4, Iss. 1, pp. 1-28
Open Access | Times Cited: 15
Navigating the High-Value Dataset Landscape From Determination to Impact: Lessons From Taiwan's OGD Ecosystem
Hsien‐Lee Tseng, Anastasija Nikiforova
Information Polity (2025)
Closed Access
Development of a Novel Intra-Operative Score to Record Diseases’ Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence
Alexandros Laios, Evangelos Kalampokis, Racheal Johnson, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 966-966
Open Access | Times Cited: 12
Is it real or illusory? An empirical examination of the impact of open government data on innovation capability in the case of China
Ruyu Yan, Chengju Xing, Xiaojun Chen, et al.
Technology in Society (2023) Vol. 75, pp. 102396-102396
Closed Access | Times Cited: 11
The Impacts of Open Data and eXplainable AI on Real Estate Price Predictions in Smart Cities
Fátima Trindade Neves, Manuela Aparício, Miguel de Castro Neto
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2209-2209
Open Access | Times Cited: 4
Innovative Machine Learning Approaches for Complexity in Economic Forecasting and SME Growth: A Comprehensive Review
Mustafa I. Al-Karkhi, Grzegorz Rządkowski
Journal of Economy and Technology (2025)
Open Access
Exploration of intelligent housing price forecasting based on the anchoring effect
Yi Song, Xiaomeng Ma
Neural Computing and Applications (2023) Vol. 36, Iss. 5, pp. 2201-2214
Closed Access | Times Cited: 8
Explaining It Your Way - Findings from a Co-Creative Design Workshop on Designing XAI Applications with AI End-Users from the Public Sector
Katharina Weitz, Ruben Schlagowski, Elisabeth André, et al.
(2024), pp. 1-14
Open Access | Times Cited: 2
Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods
Areti Karamanou, Petros Brimos, Evangelos Kalampokis, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9684-9684
Open Access | Times Cited: 11
Integrated statistical indicators from Scottish linked open government data
Areti Karamanou, Evangelos Kalampokis, Konstantinos Tarabanis
Data in Brief (2022) Vol. 46, pp. 108779-108779
Open Access | Times Cited: 10
Explainable Graph Neural Networks: An Application to Open Statistics Knowledge Graphs for Estimating House Prices
Areti Karamanou, Petros Brimos, Evangelos Kalampokis, et al.
Technologies (2024) Vol. 12, Iss. 8, pp. 128-128
Open Access | Times Cited: 1
Linked Open Government Data: Still a Viable Option for Sharing and Integrating Public Data?
Alfonso Quarati, Riccardo Albertoni
Future Internet (2024) Vol. 16, Iss. 3, pp. 99-99
Open Access
Exploring Open Data Affordances for Entrepreneurial Opportunity Recognition
Ahmad Nadzri Mohamad
(2024)
Open Access
Explainable Graph Neural Networks: An Application to Open Statistics Knowledge Graphs for Estimating House Prices
Areti Karamanou, Petros Brimos, Evangelos Kalampokis, et al.
(2024)
Open Access
Investigating the Correlation between Air Pollution and Housing Prices in Seoul, South Korea: Application of Explainable Artificial Intelligence in Random Forest Machine Learning
Dongwon Ko, Seunghoon Park
Sustainability (2024) Vol. 16, Iss. 11, pp. 4453-4453
Open Access
SUSTAINABILITY TRACING FOR COMPANIES: GOVERNANCE, REGULATION, ECONOMICAL AND ETHICAL CONSIDERATIONS

(2024)
Open Access
OVERVIEW OF USAGE OF OPEN GOVERNMENT DATA IN BUILDING MACHINE LEARNING AND AI SOLUTIONS: A SYSTEMATIC LITERATURE REVIEW

(2024)
Open Access
Capturing the distance decay effect of amenities on housing price using explainable artificial intelligence
Hojun Lee, Hoon Han, Christopher Pettit
Applied Geography (2024) Vol. 174, pp. 103486-103486
Closed Access
Traffic Flow Prediction with Swiss Open Data: A Deep Learning Approach
Petros Brimos, Areti Karamanou, Evangelos Kalampokis, et al.
Lecture notes in computer science (2023), pp. 313-328
Closed Access | Times Cited: 1
Explainable Graph Neural Networks on Linked Statistical Data for Predicting Scottish House Prices
Petros Brimos, Areti Karamanou, Evangelos Kalampokis, et al.
(2023), pp. 36-41
Closed Access | Times Cited: 1
An Ecosystem for Deploying Artificial Intelligence in Public Administration
Areti Karamanou, Evdokia Mangou, Konstantinos Tarabanis
Lecture notes in computer science (2023), pp. 192-207
Closed Access
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