Emadaldin Mohammadi Golafshani

Civil and Structural Engineering · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 53 citations into it; #2,236 of 6,160 by trust here, #2,171 by citations
• Building and Construction — 14 citations into it; #1,338 of 2,909 by trust here, #2,255 by citations
• Artificial Intelligence — 8 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Emadaldin Mohammadi Golafshani trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ali Behnood
2. I-Cheng Yeh
3. Ramazan Demirboğa
4. Seyedali Mirjalili
5. E. Güneyisi
6. Rafat Siddique
7. Umit Atici
8. Cengiz Duran Atis
9. B. Prasad
10. Chi-Sun Poon

Who trusts Emadaldin Mohammadi Golafshani overall

1. Hai-Van Thi Mai
2. Mahdi Shariati
3. Ali Behnood
4. Thuy-Anh Nguyen
5. Muhammad Khizar Khan
6. D. Daneshvar
7. Amir Ali Shahmansouri
8. Hai-Bang Ly
9. Mohammad Saeed Mafipour

Papers from Emadaldin Mohammadi Golafshani's perspective

Ordered by how strongly the researchers Emadaldin Mohammadi Golafshani trusts endorse each paper. Same corpus, a different order for every researcher.

1. Laboratory design and investigation of the properties of continuously graded Asphaltic concrete containing recycled plastics aggregate replacement (Plastiphalt)
2. Effect of metakaolin on creep and shrinkage of concrete
3. No free lunch theorems for optimization
4. Modeling of strength of high-performance concrete using artificial neural networks
5. Laboratory evaluation on performance of diatomite and glass fiber compound modified asphalt mixture
6. Mechanical properties of high-strength concrete incorporating copper slag as coarse aggregate
7. Application of Gray Relational Analysis to Evaluate HMA with Reclaimed Building Materials
8. Potential of recycled fine aggregates powder as filler in asphalt mixture
9. Effects of recycled concrete aggregates on properties of asphalt concrete
10. Effect of Portland cement and lime additives on properties of cold in-place recycled mixtures with asphalt emulsion

Their papers

• Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer (2020) — 441 citations
• Estimating the optimal mix design of silica fume concrete using biogeography-based programming (2019) — 148 citations
• Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves (2018) — 317 citations