volume 33 issue 4 pages 616-625

Prediction of boiling points of organic heterocyclic compounds using regression and neural network techniques

Leanne M Egolf
PETER C. JURS
Publication typeJournal Article
Publication date1993-07-01
SJR
CiteScore
Impact factor
ISSN00952338, 15205142
General Chemistry
Computer Science Applications
Computational Theory and Mathematics
Information Systems
Found 

Top-30

Journals

2
4
6
8
10
12
Journal of Chemical Information and Computer Sciences
11 publications, 22.92%
Chemometrics and Intelligent Laboratory Systems
4 publications, 8.33%
Lipophilicity in Drug Action and Toxicology
3 publications, 6.25%
Analytica Chimica Acta
2 publications, 4.17%
AICHE Journal
2 publications, 4.17%
Journal of Separation Science
2 publications, 4.17%
Chemical Reviews
2 publications, 4.17%
The Journal of Physical Chemistry
1 publication, 2.08%
Industrial & Engineering Chemistry Research
1 publication, 2.08%
Journal of Fluorine Chemistry
1 publication, 2.08%
Dyes and Pigments
1 publication, 2.08%
Tetrahedron
1 publication, 2.08%
Computers & Chemistry
1 publication, 2.08%
Fluid Phase Equilibria
1 publication, 2.08%
Advanced Drug Delivery Reviews
1 publication, 2.08%
Journal of Theoretical and Computational Chemistry
1 publication, 2.08%
Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science
1 publication, 2.08%
Chemical Physics Letters
1 publication, 2.08%
Environmental Toxicology and Chemistry
1 publication, 2.08%
Medicinal Research Reviews
1 publication, 2.08%
International Journal of Quantum Chemistry
1 publication, 2.08%
Journal of Physical Chemistry B
1 publication, 2.08%
Journal of the Chemical Society Perkin Transactions 2
1 publication, 2.08%
SAR and QSAR in Environmental Research
1 publication, 2.08%
Advances in Quantative Structure - Property Relationships
1 publication, 2.08%
Lecture Notes in Computer Science
1 publication, 2.08%
2
4
6
8
10
12

Publishers

2
4
6
8
10
12
14
16
American Chemical Society (ACS)
16 publications, 33.33%
Elsevier
14 publications, 29.17%
Wiley
10 publications, 20.83%
Springer Nature
2 publications, 4.17%
World Scientific
1 publication, 2.08%
Royal Society of Chemistry (RSC)
1 publication, 2.08%
Taylor & Francis
1 publication, 2.08%
2
4
6
8
10
12
14
16
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
48
Share
Cite this
GOST |
Cite this
GOST Copy
Egolf L. M., JURS P. C. Prediction of boiling points of organic heterocyclic compounds using regression and neural network techniques // Journal of Chemical Information and Computer Sciences. 1993. Vol. 33. No. 4. pp. 616-625.
GOST all authors (up to 50) Copy
Egolf L. M., JURS P. C. Prediction of boiling points of organic heterocyclic compounds using regression and neural network techniques // Journal of Chemical Information and Computer Sciences. 1993. Vol. 33. No. 4. pp. 616-625.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1021/ci00014a015
UR - https://doi.org/10.1021/ci00014a015
TI - Prediction of boiling points of organic heterocyclic compounds using regression and neural network techniques
T2 - Journal of Chemical Information and Computer Sciences
AU - Egolf, Leanne M
AU - JURS, PETER C.
PY - 1993
DA - 1993/07/01
PB - American Chemical Society (ACS)
SP - 616-625
IS - 4
VL - 33
SN - 0095-2338
SN - 1520-5142
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{1993_Egolf,
author = {Leanne M Egolf and PETER C. JURS},
title = {Prediction of boiling points of organic heterocyclic compounds using regression and neural network techniques},
journal = {Journal of Chemical Information and Computer Sciences},
year = {1993},
volume = {33},
publisher = {American Chemical Society (ACS)},
month = {jul},
url = {https://doi.org/10.1021/ci00014a015},
number = {4},
pages = {616--625},
doi = {10.1021/ci00014a015}
}
MLA
Cite this
MLA Copy
Egolf, Leanne M., and PETER C. JURS. “Prediction of boiling points of organic heterocyclic compounds using regression and neural network techniques.” Journal of Chemical Information and Computer Sciences, vol. 33, no. 4, Jul. 1993, pp. 616-625. https://doi.org/10.1021/ci00014a015.