Journal Insights

Acceptance Rate:

42%

 

Year Submissions Accepted Acceptance Rate
2017 45 21 46.7
2018 50 19 38.0
2019 32 14 43.8

Acceptance Rate

 

Review Speed:

76 days

 

Authors

  TOP COUNTRIES AUTHORS
1 Iran 29
2 India 23
3 Nigeria 11
4 United States 9
5 China 5
6 Australia 4
7 Saudi Arabia 4
8 Turkey 4
9 Greece 3
10 Malaysia 3
11 Switzerland 3
12 Egypt 2
13 Oman 2
14 Bahrain 1
15 Philippines 1
16 United Kingdom 1

Most Cited (WOS):

  AU SO TI PY VL IS BP EP DI TC
1 Mikaeil, R.; Haghshenas, S. Shaffiee; Ozcelik, Y.; Haghshenas, S. Shaffiee Soft Comput. Civil Eng Development of intelligent systems to predict diamond wire saw performance 2017 1 2 52 69 DOI 10.22115/SCCE.2017.49092 9
2 Kulkarni, P.; Londhe, S.; Deo, M. Soft Comput. Civil Engng Artificial neural networks for construction management: a review 2017 1 2 70 88 DOI 10.22115/SCCE.2017.49580 6
3 Ebtehaj, I.; Bonakdari, H. Soft Computing in Civil Engineering No- deposition sediment transport in sewers using of gene expression programming 2017 1 1 29 53   4
4 Heidari, A.; Hashempour, M.; Tavakoli, D. Soft Comput. Civil Eng. Using of backpropagation neural network in estimating of compressive strength of waste concrete 2017 1 1 54 64   4
5 Arifuzzaman, M. Soft Computing in Civil Engineering Advanced ann prediction ofmoisture damage in cnt modified asphalt binder 2017 1 1 1 11   3
6 Mirrashid, M. Soft Comput. Civ. Eng. Comparison study of soft computing approaches for estimation of the non-ductile RC joint shear strength 2017 1 1 12 28 DOI 10.22115/SCCE.2017.46318 3
7 Keshavarz, Z ; Torkian, H  Soft Comput Civ Eng Application of ANN and ANFIS models in determining compressive strength of concrete 2018 2   62 70 DOI 10.22115/SCCE.2018.51114 2
8 Londhe, S.N.; Gavraskar, S. J. Soft Comput. Civ. Eng. Stream flow forecasting using least square support vector regression 2018 2   56 88   2
9 Akinpelu, Mutiu ; Adedeji , Adeola Soft Computing in Civil Engineering Structural Response of Reinforced Self-Compacting Concrete Deep Beam using Finite Element Method 2018 2 1 36 61   1
10 Esmailzadeh, A.; Mikaeil, R.; Sadegheslam, G.; Aryafar, A.; Hosseinzadeh Gharehgheshlagh, H. Soft Computing in Civil Engineering Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques 2018 2 1 101 116   1
11 Farahnaki,, R.; Azimi,, A. Soft Computing in Civil Engineering An equation to determine the ultimate flexural load of RC beams strengthened with CFRP laminates 2018 2 4 86 95 DOI 10.22115/SCCE.2018.136500.1076 1
12 Ismaeil, Mohammed; Elhadi, Khalid; Alashker, Yasser; Yousef, Isam Eldin Soft Computing in Civil Engineering Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA 2017 1 2 35 51   1
13 Lataniotis, C; Marelli, S; Sudret, B Soft Comput Civ Eng The Gaussian process modelling module in UQLab 2018 2 3 91 116 DOI 10.22115/SCCE.2018.129323.1062 1
14 Charhate, S.; Subhedar, M.; Adsul, N. J. Soft Comput. Civ. Eng. Prediction of concrete properties using multiple linear regression and artificial neural network 2018 2-3   27 38   1
15 Farahnaki,, R.; Azimi,, A. Soft Computing in Civil Engineering An equation to determine the ultimate flexural load of RC beams strengthened with CFRP laminates 2018 2 4 86 95 DOI 10.22115/SCCE.2018.136500.1076 1

 

Most Cited (Scopus):

Result NumberDocument titleAuthorsYearSourceCited by
Artificial neural networks for construction management: A review   Kulkarni, P., Londhe, S., Deo, M. 2017 Soft Computing in Civil Engineering
1(2), pp. 70-88
7
 
No-deposition sediment transport in sewers using of gene expression programming   Ebtehaj, I., Bonakdari, H. 2017 Soft Comput. Civ Eng.
1(1), pp. 29-53
6
 
Using of backpropagation neural network in estimating of compressive strength of waste concrete   Heidari, A., Hashempour, M., Tavakoli, D. 2017 Soft Computing in Civil Engineering
1(1), pp. 54-64
6
 
Development of intelligent systems to predict diamond wire saw performance   Mikaeil, R., Shaffiee Haghshenas, S., Ozcelik, Y., Shaffiee Haghshenas, S. 2017 Soft Comput. Civil Eng.
1(2), pp. 52-69
6
 
Comparison study of soft computing approaches for estimation of the non-ductile RC joint shear strength   Mirrashid, M. 2017 Soft Comput Civ Eng
1(1), pp. 12-28
5
 
Advanced ann prediction ofmoisture damage in cnt modified asphalt binder   Arifuzzaman, M. 2017 Soft Computing in Civil Engineering
1(1), pp. 1-11
4
 
Prediction of Concrete Properties Using Multiple Linear Regression and Artificial Neural Network   Charhate, S., Subhedar, M., Adsul, N. 2018 J. Soft Comput. Civ. Eng.
2-3, pp. 27-38
3
 
Application of ANN and ANFIS models in determining compressive strength of concrete   Keshavarz, Z., Torkian, H. 2018 Soft Comput Civ Eng
2, pp. 62-70
3
 
Stream flow forecasting using least square support vector regression   Londhe, S.N., Gavraskar, S. 2018 J. Soft Comput. Civ. Eng
2, pp. 56-88
2
 
The gaussian process modeling module in UQLab   Lataniotis, C., Marelli, S., Sudret, B. 2018 Soft Computing in Civil Engineering
2(3), pp. 91-116
2
 
Calculation of torsion capacity of the reinforced concrete beams using artificial neural network   Ilkhani, M.H., Moradi, E., Lavasani, M. 2017 Soft Comput. Civil Eng.
1(2), pp. 8-18
2
 
Development of MLR, ANN and ANFIS Models for estimation of PCUs at different levels of service   Srikanth, S., Mehar, A. 2018 J. Soft Comput. Civil Eng
1, pp. 18-35
1
 
An equation to determine the ultimate flexural load of RC beams strengthened with CFRP laminates Farahnaki, R., Azimi, A. 2018 Soft Computing in Civil Engineering
2(4), pp. 86-95
1
 
Predicting budget from transportation research grant description: An exploratory analysis of text mining and machine learning techniques   Singhal, A., Gopalakrishnan, K., Khaitan, S.K. 2017 Journal of Soft Computing in Civil Engineering
1-2, pp. 89-102
1
 
GMDH-network to estimate the punching capacity of FRP-RC slabs   Azimi, A. 2017 Soft Comput. Civ. Eng.
1, pp. 86-92