Retraction
Prediction of busulfan solubility in supercritical CO2 using tree-based and neural network-based methods
Paper Information
Record ID:
66008
Author(s):
Journal:
Publication Date:
January 29, 2022
Retraction Date:
July 17, 2024
(1.3 year years ago)
Subjects:
Institutions:
- School of Chemical Science and Technology, Yunnan University, Yunan province, 650091, China
- Department of Chemical Engineering and Petroleum Industries, Al-Mustaqbal University College, Babylon, 51001, Iraq
- Institute of Pharmacy, Sechenov First Moscow State Medical University, 8 Trubetskaya St, bldg 2, Moscow, 119991, Russian Federation
- Laboratory of Food Chemistry, Federal Research Center of Nutrition, Biotechnology and Food Safety, 2/14 Ustyinsky pr, Moscow, 109240, Russian Federation
- Department of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia
- Department of Physical Therapy, Kasr Al-Aini Hospital, Cairo University, Giza, Egypt
- Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Saveetha University, Chennai, India
- Department of Chemical Engineering, Ming Chi University of Technology, New Taipei City, Taiwan
- Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, 700000, Viet Nam
- Department of Computer Science, Jeddah International College, Jeddah, Saudi Arabia
- Mechanical and Materials Engineering Department, Faculty of Engineering, University of Jeddah, PO Box 80327, Jeddah, 21589, Saudi Arabia
Article Type:
Publisher:
Elsevier
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Retraction Reasons:
Nature of Retraction:
Retraction
Retraction Notice:
10.1016/j.molliq.2024.125523Citations (23)
23
Total Citations7
Post-Retraction(30.4%)
16
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
7
Within 1 year
0
After 2+ years
319
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Quick Stats
Total Citations:
23
Years Since Retraction:
1.3 year
Open Access:
Yes
Last Checked:
Jul 24, 2025