Cross Reference Up

Varga, D (2021). Analysis of Benford’s Law for No-Reference Quality Assessment of Natural, Screen-Content, and Synthetic Images . Electronics 10(19), p. 2378.

This work is cited by the following items of the Benford Online Bibliography:

Note that this list may be incomplete, and is currently being updated. Please check again at a later date.

Hao, X, Li, X, Wu, J, Wei, B, Song, Y and Li, B (2024). A No-Reference Quality Assessment Method for Hyperspectral Sharpened Images via Benford’s Law. Remote Sensing, 16(7):1167. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kobiela, J and Dzierwa, P (2024). Application of Benford’s Law to the Identification of Non-authentic Digital Images. Proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, pp. 115-129 . DOI:10.1007/978-3-031-78049-3_12. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Maza-Quiroga, R, Thurnhofer-Hemsi, K, López-Rodríguez, D and López-Rubio, E (2023). Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit . Axioms 12, pp. 1117 . DOI:10.3390/axioms12121117. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Shen, RY (2025). Autonomous learning behaviors in an online coding community: A comparison between project viewing/playing and code remixing in Scratch using Benford’s law. Journal of Digital Educational Technology 5(1), pp. ep2501. DOI:10.30935/jdet/15808. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Toosi, FG (2024). The Relationship Between the Distribution of Neural Network Weights and Model Accuracy: A Benford’s Law Perspective. Proceedings of International Congress on Information and Communication Technology, pp. 509–528. DOI:10.1007/978-981-97-3305-7_41. View Complete Reference Online information Works that this work references Works that reference this work
Toosi, FG (2025). Benford’s Law in Basic RNN and Long Short-Term Memory (LSTM) and their Associations. Preprint, Authorea. DOI:10.22541/au.173901291.14107238/v1. View Complete Reference Online information Works that this work references No Bibliography works reference this work