Research map: Domain Knowledge Constrained Symbolic Regression for Optimising Dermal Drug Formulations

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  1. A new look at the statistical model identification · Hirotugu Akaike · 1974 · 51719 citations · Cited by this paper
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  9. A simple equation for description of solute release II. Fickian and anomalous release from swellable devices · Philip L. Ritger · 1987 · 4065 citations · Cited by this paper
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  11. Algorithm 778: L-BFGS-B · Ciyou Zhu · 1997 · 3565 citations · Cited by this paper
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  13. Rate of Release of Medicaments from Ointment Bases Containing Drugs in Suspension · Takeru Higuchi · 1961 · 2269 citations · Cited by this paper
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  15. Genetic programming as a means for programming computers by natural selection · J. R. Koza · 1994 · 1681 citations · Cited by this paper
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  17. Predicting Skin Permeability · Russell O. Potts · 1992 · 1574 citations · Cited by this paper
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  19. Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. · Joost de Winter · 2016 · 1221 citations · Cited by this paper
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  23. AI Feynman: A physics-inspired method for symbolic regression · Silviu‐Marian Udrescu · 2020 · 1088 citations · Cited by this paper
  24. The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements · Joseph E. Cavanaugh · 2019 · 976 citations · Cited by this paper
  25. Hydrogels as mucoadhesive and bioadhesive materials: a review · Nikolaos A. Peppas · 1996 · 522 citations · Cited by this paper
  26. Learning surrogate models for simulation‐based optimization · Alison Cozad · 2014 · 458 citations · Cited by this paper
  27. A Fourth-Order Runge–Kutta in the Interaction Picture Method for Simulating Supercontinuum Generation in Optical Fibers · Johan Hult · 2007 · 405 citations · Cited by this paper
  28. Mathematical models of skin permeability: An overview · Samir Mitragotri · 2011 · 370 citations · Cited by this paper
  29. Machine learning directed drug formulation development · Pauric Bannigan · 2021 · 340 citations · Cited by this paper
  30. Interpretable scientific discovery with symbolic regression: a review · N. Makke · 2024 · 319 citations · Cited by this paper
  31. Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives · Dimitrios Angelis · 2023 · 238 citations · Cited by this paper
  32. Expressions found by PySR software from dataset of equations of state for neutron star matter based on relativistic mean field model with a non-linear mesonic interaction · Cranmer, Miles · 2023 · 197 citations · Cited by this paper
  33. Improved Topical Drug Delivery: Role of Permeation Enhancers and Advanced Approaches · Victor Hmingthansanga · 2022 · 192 citations · Cited by this paper
  34. Why model? · Olaf Wolkenhauer · 2014 · 81 citations · Cited by this paper
  35. A new formulation for symbolic regression to identify physico-chemical laws from experimental data · Pascal Neumann · 2019 · 68 citations · Cited by this paper
  36. In VitroPermeation of Metals through Human Skin: A Review and Recommendations · Anja Franken · 2015 · 63 citations · Cited by this paper
  37. Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation · Panagiotis Barmpalexis · 2011 · 54 citations · Cited by this paper
  38. Pairwise comparisons simplified · Waldemar W. Koczkodaj · 2015 · 47 citations · Cited by this paper
  39. In vitro release test (IVRT): Principles and applications · Vinod P. Shah · 2022 · 44 citations · Cited by this paper

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