KSCE Journal of Civil Engineering

Aims & Scope

The KSCE Journal of Civil Engineering is a technical monthly journal of the Korean Society of Civil Engineers.

The journal reports original study results (both academic and practical) on past practices and present information in all civil engineering fields.

The journal publishes original papers within the broad field of civil engineering, which includes, but are not limited to, the following: coastal and harbor engineering, construction management, environmental engineering, geotechnical engineering, highway engineering, hydraulic engineering, information technology, nuclear power engineering, railroad engineering, structural engineering, surveying and geo-spatial engineering, transportation engineering, tunnel engineering, and water resources and hydrologic engineering.

Both theoretical and practice-oriented papers, including case studies and reviews, are encouraged.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	1.90

Journal Rank

Year	Value
2024	10825

Journal Citation Indicator

Year	Value
2024	3160

SJR (SCImago Journal Rank)

Year	Value
2024	0.537

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	68

---

---

Abstracting & Indexing

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

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

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

---

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.

• Delay and cost overruns in Vietnam large construction projects: A comparison with other selected countries

  Citation: 330

  Authors: Long, Young Dai, Jun Yong

• Artificial neural network for modeling nitrate pollution of groundwater in marginal area of Zayandeh-rood River, Isfahan, Iran

  Citation: 309

  Authors: Kaveh, Mohammad, Hossein

• Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

  Citation: 213

  Authors: Guoqing, Hong, Zhibin, Yonghua, Zhijun

• Phosphorus release from lake sediments: Effects of pH, temperature and dissolved oxygen

  Citation: 179

  Authors: Yunhai, Yajun, Jianxin, Yunying

• Public transportation and sustainability: A review

  Citation: 178

  Authors: Patrick, Alexandre G., Lina, S.C.

• Improvements in engineering properties of soils through microbial-induced calcite precipitation

  Citation: 177

  Authors: Ng Wei, Lee Min, Tan Chew, Hii Siew

• Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia

  Citation: 177

  Authors: Hyun Woo, Kyotaek, Qiaozhen, Seung Oh, Minha

• Emerging geothermal energy technologies

  Citation: 152

  Authors: I.W., G.A., S.

• A newly developed state-of-the-art geotechnical centrifuge in Korea

  Citation: 151

  Authors: Dong-Soo, Nam-Ryong, Yun Wook, Gye-Chun

• Geological storage of high level nuclear waste

  Citation: 141

  Authors: Jin-Seop, Sang-Ki, Marcelo, Gye-Chun

---