Retraction
Forecasting of Rock Drillability Using a New Computational Intelligent Method
Paper Information
Record ID:
24403
Author(s):
Journal:
Publication Date:
June 03, 2019
Retraction Date:
October 01, 2020
(5.1 years years ago)
Subjects:
Institution:
Department of Mining Engineering, Arak University of Technology, Arak, 1000780654, IranCountry:
🇮🇷 IranArticle Type:
Publisher:
Springer
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (4)
4
Total Citations3
Post-Retraction(75.0%)
0
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
1
Within 1 year
2
After 2+ years
1095
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Research of borehole drilling parameters for determining the optimum size of granite stone blocks
A Panasiuk, Iryna Davydova, Владислав Сергеевич Шлапак et al. (4 authors)
IOP Conference Series Earth and Environmental Science
Open Access
Published: Oct 2023
2 citations
2 citations
1095 days after retraction
Prediction of rock drillability using gray wolf optimization and teaching–learning-based optimization techniques
Hadi Fattahi, Hossein Ghaedi, Farshad Malekmahmoodi
Soft Computing
Published: Apr 2023
15 citations
15 citations
936 days after retraction
Prediction of drilling rate index from rock strength and cerchar abrasivity index properties using fuzzy inference system
Utku Sakız, Gülhan Ustabaş Kaya, Olgay Yaralı
Arabian Journal of Geosciences
Published: Feb 2021
13 citations
13 citations
144 days after retraction
Quick Stats
Total Citations:
6
Years Since Retraction:
5.1 years
Open Access:
Yes
Last Checked:
Jul 24, 2025