Muhammad Faisal Javed

Civil and Structural Engineering · 2020–2022

A researcher in the Science corpus: 10 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 489 citations into it
• Building and Construction — 195 citations into it
• Materials Chemistry — 193 citations into it
• Artificial Intelligence — 16 citations into it
• Statistics and Probability — 12 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Molecular Biology — 10 citations into it

Whom Muhammad Faisal Javed trusts overall

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

1. Amir H. Gandomi
2. I-Cheng Yeh
3. Cândida Ferreira
4. Aliakbar Gholampour
5. John R. Koza
6. D. Hardjito
7. Amir Hossein Alavi
8. P. Nath
9. P. Sarker
10. John H. Holland

Who trusts Muhammad Faisal Javed overall

1. Muhammad Khizar Khan

Papers from Muhammad Faisal Javed's perspective

Ordered by how strongly the researchers Muhammad Faisal Javed trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems (Complex Systems)
2. The geopolymerisation of alumino-silicate minerals
3. THE EFFECT OF COMPOSITION AND TEMPERATURE ON THE PROPERTIES OF FLY ASH- AND KAOLINITE -BASED GEOPOLYMERS
4. Characterisation of fly ashes. Potential reactivity as alkaline cements
5. A Representation for the Adaptive Generation of Simple Sequential Programs
6. Influence of calcium compounds on the mechanical properties of fly ash geopolymer pastes. (Journal of Hazardous Materials)
7. The mechanical properties of fly ash-based geopolymer concrete with alkaline activators
8. Binding mechanism and properties of alkali-activated fly ash/slag mortars
9. Effect of types of curing on strength of geopolymer concrete
10. The effects of ground granulated blast-furnace slag blending with fly ash and activator content on the workability and strength properties of geopolymer concrete cured at ambient temperature

Their papers

• Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming. (2020) — 364 citations
• Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete (2022) — 71 citations
• Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms (2021) — 167 citations
• Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest (2021) — 201 citations
• Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete (2021) — 137 citations
• Geopolymer concrete as sustainable material: A state of the art review (2021) — 296 citations
• Semi-analytical model for compressive arch action capacity of RC frame structures (2020) — 69 citations
• Prediction model for compressive arch action capacity of RC frame structures under column removal scenario using gene expression programming (2020) — 147 citations
• Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete (2020) — 150 citations
• A Review of Recent Developments and Advances in Eco-Friendly Geopolymer Concrete (2020) — 147 citations