List of highly cited (according to Web of Science) papers:​​

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• A. Lopez Pellcier, P. Angelov, Y. Li, PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection, CVPR-W 2024, pp. 3809-3817, FWCI 22.62

• P. Angelov et al., Explainable artificial intelligence: an analytical review, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11:e1424, 2021, FWCI 30.72

• J. Rubio, E. Lughofer, P. Angelov, J. F. Novoa, J. A. Meda-Campaña, A novel algorithm for the modeling of complex processes, Kybernetika,  54 (1), 79-95, 2018, FWCI 12.4

• A. Bux, P. Angelov, Z. Habib, Vision based human activity recognition: a review, In: Advances in Computational Intelligence Systems, Springer International Publishing, pp.341-371, 2017, FWCI 10.2

• ​R. Precup, P. Angelov, B. Costa, M. Sayed-Mouchaweh, An overview on fault diagnosis and nature-inspired optimal control of industrial process applications, Computers in Industry (impact factor, IF 7.18), 74: 75-94, 2015, FWCI 16.95

• M. Pratama, S. Anavatti, P. Angelov, E. Lughofer, PANFIS: A Novel Incremental Learning Machine, IEEE Trans. on Neural Networks and Learning Systems (IF 14.255), 25 (1): 55-68, 2014, FWCI 10.64

• J. Andreu, P. Angelov, Towards generic human activity recognition for ubiquitous applications, Journal of Ambient Intelligence and Human Computing (IF 7.104), 4 (2): 155-156, 2013, FWCI 17.55

• E. Lughofer, P. Angelov, Handling Drifts and Shifts in On-line Data Streams with Evolving Fuzzy Systems, Applied Soft Computing (IF 8.263), 11 (2): 2057-2068, 2011, FWCI 9.89

• P. Angelov, Evolving Takagi-Sugeno Fuzzy Systems from Data Streams (eTS+), In Evolving Intelligent Systems: Methodology and Applications (Angelov P., D. Filev, N. Kasabov Eds.), John Willey and Sons, pp. 21-50, ISBN: 978-0-470-28719-4, Feb. 2010, FWCI 44.03

• P. Angelov, D. Filev and N. Kasabov, Evolving Fuzzy Systems, IEEE Transactions on Fuzzy Systems (IF 12.253), ISSN 1063-6706, 16(6): 1390-1392, 2008, FWCI 18.56

• P. Angelov, X. Zhou, Evolving Fuzzy Systems from Data Streams in Real-Time, Proc. 2006 International Symposium on Evolving Fuzzy Systems, 7-9 September, 2006, Ambleside, UK, IEEE Press, ISBN 0-7803-9719-3, pp.29-35, FWCI 13.19

• P. Angelov, D. Filev, An Approach to On-line Identification of Takagi-Sugeno Fuzzy Models, IEEE Transactions on System, Man, and Cybernetics, part B – Cybernetics (IF 19.118), 34 (1): 484-498, 2004, FWCI 12.88