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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:

Machine learning partners in criminal networks
Diego D. Lopes, Bruno Requião da Cunha, Alvaro F. Martins, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24

Showing 24 citing articles:

Deep learning criminal networks
Haroldo V. Ribeiro, Diego D. Lopes, Arthur A. B. Pessa, et al.
Chaos Solitons & Fractals (2023) Vol. 172, pp. 113579-113579
Open Access | Times Cited: 20
Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials
Bartu Yeşilkaya, Ebru Sayılgan, Yılmaz Kemal Yüce, et al.
Journal of Computational Science (2023) Vol. 68, pp. 102000-102000
Open Access | Times Cited: 14
Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
M. Tanveer, Anushka Tiwari, Mushir Akhtar, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2025), pp. 1-10
Closed Access
The Organized Activities of Ransomware Groups: A Social Network Approach
Ekaterina V. Botchkovar, Kexin Cui, Olena Antonaccio, et al.
Technology in Society (2025), pp. 102873-102873
Open Access
Semi-fragile neural network watermarking for content authentication and tampering localization
Zihan Yuan, Xinpeng Zhang, Zichi Wang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121315-121315
Closed Access | Times Cited: 11
Machine learning approach to detect dynamical states from recurrence measures
Dheeraja Thakur, A. Krishna Mohan, G. Ambika, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 3
When climate variables improve the dengue forecasting: a machine learning approach
Sidney T. da Silva, Enrique C. Gabrick, Paulo R. Protachevicz, et al.
The European Physical Journal Special Topics (2024)
Open Access | Times Cited: 3
Identifying lightning structures via machine learning
Lingxiao Wang, B. M. Hare, Kai Zhou, et al.
Chaos Solitons & Fractals (2023) Vol. 170, pp. 113346-113346
Open Access | Times Cited: 5
Improving demand forecasting in open systems with cartogram-enhanced deep learning
Sangjoon Park, Yongsung Kwon, Hyungjoon Soh, et al.
Chaos Solitons & Fractals (2024) Vol. 184, pp. 115032-115032
Open Access | Times Cited: 1
A criminal macrocause classification model: An enhancement for violent crime analysis considering an unbalanced dataset
RAMIRO DA CONCEIÇÃO DO NASCIMENTO JÚNIOR, João Vítor Venceslau Coelho, Nélio Cacho, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121702-121702
Closed Access | Times Cited: 4
Extracting macroscopic quantities in crowd behaviour with deep learning
Shuaiqi Zhou, Rongrong Shi, Lingxiao Wang
Physica Scripta (2024) Vol. 99, Iss. 6, pp. 065213-065213
Open Access | Times Cited: 1
DAN: Neural network based on dual attention for anomaly detection in ICS
Lijuan Xu, Bailing Wang, Dawei Zhao, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125766-125766
Closed Access | Times Cited: 1
Wasserstein barycenter for link prediction in temporal networks
Alessandro Spelta, Nicolò Pecora
Journal of the Royal Statistical Society Series A (Statistics in Society) (2023) Vol. 187, Iss. 1, pp. 180-208
Closed Access | Times Cited: 3
A systematic review of anti-money laundering systems literature: Exploring the efficacy of machine learning and deep learning integration
Nadia Husnaningtyas, Ghalizha Failazufah Hanin, Totok Dewayanto, et al.
JEMA Jurnal Ilmiah Bidang Akuntansi dan Manajemen (2023) Vol. 20, Iss. 1, pp. 91-116
Open Access | Times Cited: 3
Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach
Song Gao, X. F. Wang, Bingbing Song, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 3, pp. 2518-2528
Closed Access
DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting
Aditi Seetha, Satyendra Singh Chouhan, Emmanuel S. Pilli, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 3, pp. 4189-4201
Closed Access
Criminal organizations exhibit hysteresis, resilience, and robustness by balancing security and efficiency
Casper van Elteren, Michael Lees, Vítor V. Vasconcelos
Research Square (Research Square) (2024)
Open Access
Spatio-Temporal Prediction and Analysis of Traffic Accident Severity Based on St-Riskformer
Kun Li, Xinlong Duan, Zhantu Liang, et al.
(2024)
Closed Access
Criminal organizations exhibit hysteresis, resilience, and robustness by balancing security and efficiency
Casper van Elteren, Vítor V. Vasconcelos, Michael Lees
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Sieci przestępcze jako zagrożenie dla legalnej konkurencji rynku paliw ciekłych
Wojciech Jakubiec
Internetowy Kwartalnik Antymonopolowy i Regulacyjny (2023) Vol. 12, Iss. 2, pp. 106-121
Open Access | Times Cited: 1
Modeling the role of police corruption in the reduction of organized crime: Mexico as a case study
Andrés Aldana, Hernán Larralde, Maximino Aldana
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 2
FRAUD DETECTION AND ANTI-MONEY LAUNDERING APPLYING MACHINE LEARNING TECHNIQUES IN CRYPTOCURRENCY TRANSACTIONAL GRAPHS
Ana Paula Martins, Miguel A. Brito
(2023)
Open Access
Fast Prediction for Criminal Suspects through Neighbor Mutual Information-Based Latent Network
Jong Ho Jhee, Myung Jun Kim, Myeonggeon Park, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-12
Open Access
Data Fusion and Graph Analysis in Fraud Transaction Detection: walkthrough of a case study
Valerio Bellandi, Stefano Siccardi
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4601-4605
Closed Access
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