Acceptance Rate:
42%
| Year | Submissions | Accepted | Acceptance Rate |
| 2017 | 45 | 21 | 46.7 |
| 2018 | 50 | 19 | 38.0 |
| 2019 | 32 | 14 | 43.8 |
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 Number | Document title | Authors | Year | Source | Cited 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
|
1 | |