Asian Journal of Civil Engineering

Aims & Scope

The Asian Journal of Civil Engineering (Building and Housing) welcomes articles and research contributions on topics such as: - Structural analysis and design - Earthquake and structural engineering - New building materials and concrete technology - Sustainable building and energy conservation - Housing and planning - Construction management - Optimal design of structures Please note that the journal will not accept papers in the area of hydraulic or geotechnical engineering, traffic/transportation or road making engineering, and on materials relevant to non-structural buildings, e.g. materials for road making and asphalt.

Although the journal will publish authoritative papers on theoretical and experimental research works and advanced applications, it may also feature, when appropriate: a) tutorial survey type papers reviewing some fields of civil engineering; b) short communications and research notes; c) book reviews and conference announcements.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.426

Quartile

Year	Value
2024	Q2

Journal Rank

Year	Value
2024	13190

Journal Citation Indicator

Year	Value
2024	1301

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A review of construction management challenges and BIM-based solutions: perspectives from the schedule, cost, quality, and safety management

  Citation: 101

  Authors: Mohammadsaeid, Udara Sachinthana, Tharindu C., Piyaruwan, Rajeev

• Prediction of cost and duration of building construction using artificial neural network

  Citation: 55

  Authors: Jesam Abam, Elvis Michael, George Uwadiegwu

• Performance of on-ground double-roof RCC shelter with energy absorption layers under close-in air-blast loading

  Citation: 49

  Authors: S. M., Mehtab, Mohammad

• Development of time–cost trade-off optimization model for construction projects with MOPSO technique

  Citation: 49

  Authors: Aditya Kumar, Shyamveer Singh, Kamal, Krushna Chandra

• Construction time–cost–resources–quality trade-off optimization using NSGA-III

  Citation: 47

  Authors: Manoj Kumar, Kamal

• Effects of simultaneous utilization of natural zeolite and magnetic water on engineering properties of self-compacting concrete

  Citation: 46

  Authors: Mohammad, Rahmat, Mostafa

• Properties of recycled aggregate and recycled aggregate concrete: effect of parent concrete

  Citation: 45

  Authors: M.

• Evolutionary optimization of machine learning algorithm hyperparameters for strength prediction of high-performance concrete

  Citation: 44

  Authors: Sourav, Sanjaya Kumar, Suraj Kumar

• Compressive strength prediction of high-strength concrete using hybrid machine learning approaches by incorporating SHAP analysis

  Citation: 44

  Authors: Abul, Pobithra

• Incorporation of artificial neural network with principal component analysis and cross-validation technique to predict high-performance concrete compressive strength

  Citation: 44

  Authors: Mohammed Majeed, Mohamed Khalid, Wajdi Jaber, Mohammed Abdulhakim

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