Drug-drug interaction predicting by neural network using integrated similarity N Rohani, C Eslahchi Scientific reports 9 (1), 13645, 2019 | 139 | 2019 |

Vertex‐strength of fuzzy graphs C Eslahchi, BN Onagh International Journal of Mathematics and Mathematical Sciences 2006 (1), 043614, 2006 | 110 | 2006 |

Screening of autism based on task-free fmri using graph theoretical approach M Sadeghi, R Khosrowabadi, F Bakouie, H Mahdavi, C Eslahchi, ... Psychiatry Research: Neuroimaging 263, 48-56, 2017 | 73 | 2017 |

ISCMF: Integrated similarity-constrained matrix factorization for drug–drug interaction prediction N Rohani, C Eslahchi, A Katanforoush Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-8, 2020 | 44 | 2020 |

Gender classification based on eye movements: A processing effect during passive face viewing N Sammaknejad, H Pouretemad, C Eslahchi, A Salahirad, A Alinejad Advances in cognitive psychology 13 (3), 232, 2017 | 44 | 2017 |

Dsplmf: a method for cancer drug sensitivity prediction using a novel regularization approach in logistic matrix factorization A Emdadi, C Eslahchi Frontiers in genetics 11, 75, 2020 | 43 | 2020 |

Protein complex prediction based on *k*-connected subgraphs in protein interaction networkM Habibi, C Eslahchi, L Wong BMC systems biology 4, 1-15, 2010 | 40 | 2010 |

Protein secondary structure prediction using three neural networks and a segmental semi Markov model SA Malekpour, S Naghizadeh, H Pezeshk, M Sadeghi, C Eslahchi Mathematical Biosciences 217 (2), 145-150, 2009 | 40 | 2009 |

CN: a consensus algorithm for inferring gene regulatory networks using the SORDER algorithm and conditional mutual information test R Aghdam, M Ganjali, X Zhang, C Eslahchi Molecular BioSystems 11 (3), 942-949, 2015 | 39 | 2015 |

A neural network-based method for polypharmacy side effects prediction R Masumshah, R Aghdam, C Eslahchi BMC bioinformatics 22, 1-17, 2021 | 35 | 2021 |

Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model A Emdadi, C Eslahchi BMC bioinformatics 22, 1-22, 2021 | 32 | 2021 |

A tale of two symmetrical tails: Structural and functional characteristics of palindromes in proteins A Sheari, M Kargar, A Katanforoush, S Arab, M Sadeghi, H Pezeshk, ... BMC bioinformatics 9, 1-7, 2008 | 32 | 2008 |

PROSIGN: A method for protein secondary structure assignment based on three-dimensional coordinates of consecutive Cα atoms SR Hosseini, M Sadeghi, H Pezeshk, C Eslahchi, M Habibi Computational biology and chemistry 32 (6), 406-411, 2008 | 31 | 2008 |

Impact of RNA structure on the prediction of donor and acceptor splice sites SA Marashi, C Eslahchi, H Pezeshk, M Sadeghi BMC bioinformatics 7, 1-8, 2006 | 31 | 2006 |

The *k*‐Zero‐Divisor Hypergraph of a Commutative RingC Eslahchi, AM Rahimi International journal of mathematics and mathematical sciences 2007 (1), 050875, 2007 | 25 | 2007 |

Adrml: anticancer drug response prediction using manifold learning F Ahmadi Moughari, C Eslahchi Scientific reports 10 (1), 14245, 2020 | 24 | 2020 |

The performances of the chi-square test and complexity measures for signal recognition in biological sequences L Pirhaji, M Kargar, A Sheari, H Poormohammadi, M Sadeghi, H Pezeshk, ... Journal of Theoretical Biology 251 (2), 380-387, 2008 | 24 | 2008 |

Importance of RNA secondary structure information for yeast donor and acceptor splice site predictions by neural networks SA Marashi, H Goodarzi, M Sadeghi, C Eslahchi, H Pezeshk Computational Biology and Chemistry 30 (1), 50-57, 2006 | 24 | 2006 |

IPCA-CMI: an algorithm for inferring gene regulatory networks based on a combination of PCA-CMI and MIT score R Aghdam, M Ganjali, C Eslahchi PloS one 9 (4), e92600, 2014 | 23 | 2014 |

In silico studies reveal structural deviations of mutant profilin-1 and interaction with riluzole and edaravone in amyotrophic lateral sclerosis AS Sadr, C Eslahchi, A Ghassempour, M Kiaei Scientific reports 11 (1), 6849, 2021 | 21 | 2021 |