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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:

Data Science for Economics and Finance
Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Springer eBooks (2021)
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Extraction of knowledge graph of Covid-19 through mining of unstructured biomedical corpora
Sudhakaran Gajendran, D. Manjula, Vijayan Sugumaran, et al.
Computational Biology and Chemistry (2023) Vol. 102, pp. 107808-107808
Open Access | Times Cited: 16
Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study
Grzegorz Dudek, Piotr Fiszeder, Paweł Kobus, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111132-111132
Open Access | Times Cited: 16
Efficient Capital Market Theory and its Implications for Investment Decision Making in Financial Markets
Alwinda Manao, Ikaputera Waspada, Maya Indah Sari
Dinasti International Journal of Economics Finance & Accounting (2025) Vol. 5, Iss. 6, pp. 5963-5971
Open Access
‘Do songs tell stories?’ An empirical analysis of the effect of emotional arcs on success in a national song contest
Jürgen Rösch, Martín Rauch
Journal of Cultural Economics (2025)
Open Access
ESG information extraction with cross-sectoral and multi-source adaptation based on domain-tuned language models
Jaeyoung Lee, Misuk Kim
Expert Systems with Applications (2023) Vol. 221, pp. 119726-119726
Closed Access | Times Cited: 14
Examining the transmission of credit and liquidity risks: A network analysis for EMU sovereign debt markets
Adrian Fernández-Pérez, Marta Gómez‐Puig, Simón Sosvilla‐Rivero
The North American Journal of Economics and Finance (2025), pp. 102407-102407
Closed Access
Solvency Risk and Corporate Performance: A Case Study on European Retailers
Alexandra Horobeţ, Ștefania Cristina Curea, Alexandra Smedoiu Popoviciu, et al.
Journal of risk and financial management (2021) Vol. 14, Iss. 11, pp. 536-536
Open Access | Times Cited: 31
On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates
Louisa Muparuri, Victor Gumbo
Sustainability Analytics and Modeling (2022) Vol. 2, pp. 100006-100006
Open Access | Times Cited: 16
Predicting firm performance and size using machine learning with a Bayesian perspective
Debdatta Saha, Timothy M. Young, Jessica Thacker
Machine Learning with Applications (2023) Vol. 11, pp. 100453-100453
Open Access | Times Cited: 8
Data Science Application for Failure Data Management and Failure Prediction in the Oil and Gas Industry: A Case Study
Simone Arena, Giuseppe Manca, Stefano Murru, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10617-10617
Open Access | Times Cited: 12
ESG, innovation, and economic growth: an empirical evidence
Siti Nurazira Mohd Daud, Nur Syazwina Ghazali, Nur Hafizah Ismail
Studies in Economics and Finance (2024) Vol. 41, Iss. 4, pp. 845-870
Closed Access | Times Cited: 2
A multidimensional review of the cash management problem
Francisco Salas‐Molina, Juan A. Rodríguez-Aguilar, Montserrat Guillén
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 6
Incorporation of company-related factual knowledge into pre-trained language models for stock-related spam tweet filtering
Jihye Park, Sungzoon Cho
Expert Systems with Applications (2023) Vol. 234, pp. 121021-121021
Closed Access | Times Cited: 5
Data Science in Finance: Challenges and Opportunities
Xianrong Zheng, Elizabeth Gildea, Sheng Chai, et al.
AI (2023) Vol. 5, Iss. 1, pp. 55-71
Open Access | Times Cited: 5
DATA SCIENCE METHODS AND MODELS IN MODERN ECONOMY
Roman Reznikov, Svitlana Turlakova
Economic scope (2024)
Open Access | Times Cited: 1
Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning
Eddi Miller, Vladyslav Borysenko, Moritz Heusinger, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5896-5896
Open Access | Times Cited: 9
Approaching European Supervisory Risk Assessment with SupTech: A Proposal of an Early Warning System
Pedro Guerra, Mauro Castelli, Nadine Côrte-Real
Risks (2022) Vol. 10, Iss. 4, pp. 71-71
Open Access | Times Cited: 5
DATA MINING USING CRISP-DM PROCESS FRAMEWORK ON OFFICIAL STATISTICS: A CASE STUDY OF EAST JAVA PROVINCE
Gunawan Gunawan
Jurnal Ekonomi dan Pembangunan (2021) Vol. 29, Iss. 2, pp. 183-198
Open Access | Times Cited: 6
EXPERIENCE IN USING BIG DATA TECHNOLOGY FOR DIGITALIZATION OF INFORMATION
Andrey Aleksandrovich Rodionov, Rabim Alikulovich Fayziev, Saidakhror Saidakhmedovich Gulyamov
(2022), pp. 412-415
Open Access | Times Cited: 4
Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach
Golshid Ranjbaran, Diego Reforgiato Recupero, Gianfranco Lombardo, et al.
EPJ Data Science (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Forecasting the IBEX-35 Stock Index Using Deep Learning and News Emotions
Sergio Consoli, Matteo Negri, Amirhossein Tebbifakhr, et al.
Lecture notes in computer science (2022), pp. 308-323
Open Access | Times Cited: 3
Analyzing Longitudinal Data Using Machine Learning with Mixed-Effects Models
Pakize Yıgıt, S. Ejaz Ahmed
Lecture notes on data engineering and communications technologies (2024), pp. 633-646
Closed Access
Developing an Early Warning System for Financial Networks: An Explainable Machine Learning Approach
Daren Purnell, Amir H. Etemadi, John Kamp
Entropy (2024) Vol. 26, Iss. 9, pp. 796-796
Open Access
Economic analysis through alternative data and big data techniques: what do they tell about Brazil?
Matheus Pereira Libório, Petr Ekel, Carlos Augusto Paiva da Silva Martins
SN Business & Economics (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Data Science in Economics and Business
Mara Madaleno, João Lourenço Marques, Muhammad Tufail
Advances in business information systems and analytics book series (2021), pp. 544-568
Closed Access | Times Cited: 1
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