Junseo Bae

442 total citations
34 papers, 316 citations indexed

About

Junseo Bae is a scholar working on Building and Construction, Civil and Structural Engineering and Management Science and Operations Research. According to data from OpenAlex, Junseo Bae has authored 34 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Building and Construction, 13 papers in Civil and Structural Engineering and 9 papers in Management Science and Operations Research. Recurrent topics in Junseo Bae's work include Infrastructure Maintenance and Monitoring (11 papers), BIM and Construction Integration (9 papers) and Construction Project Management and Performance (9 papers). Junseo Bae is often cited by papers focused on Infrastructure Maintenance and Monitoring (11 papers), BIM and Construction Integration (9 papers) and Construction Project Management and Performance (9 papers). Junseo Bae collaborates with scholars based in South Korea, United States and United Kingdom. Junseo Bae's co-authors include Ji-Myong Kim, Young Sang Cho, Sang‐Guk Yum, Seung-Il Lee, Kunhee Choi, Kiyoung Son, Sungjin Ahn, Hyunwoo Lee, Manik Das Adhikari and Hyun‐Woo Lee and has published in prestigious journals such as Scientific Reports, Sustainability and Automation in Construction.

In The Last Decade

Junseo Bae

32 papers receiving 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junseo Bae South Korea 11 146 99 95 88 46 34 316
Yuchun Tang China 13 202 1.4× 170 1.7× 78 0.8× 150 1.7× 75 1.6× 17 406
N. O. Nawari United States 9 163 1.1× 53 0.5× 96 1.0× 25 0.3× 18 0.4× 19 333
Aidi Hizami Alias Malaysia 12 214 1.5× 127 1.3× 58 0.6× 58 0.7× 22 0.5× 46 432
Neil Carhart United Kingdom 10 86 0.6× 31 0.3× 100 1.1× 36 0.4× 37 0.8× 31 290
Abdulwahed Fazeli Iran 8 192 1.3× 104 1.1× 48 0.5× 45 0.5× 28 0.6× 9 318
Daniel P. de Oliveira United States 10 124 0.8× 153 1.5× 84 0.9× 37 0.4× 11 0.2× 23 329
Hande Aladağ Türkiye 9 167 1.1× 175 1.8× 46 0.5× 43 0.5× 16 0.3× 24 339
Shen Xu China 10 106 0.7× 53 0.5× 36 0.4× 93 1.1× 32 0.7× 20 334
Noel Painting United Kingdom 7 200 1.4× 185 1.9× 43 0.5× 69 0.8× 29 0.6× 18 320
Xin Janet Ge Australia 6 209 1.4× 56 0.6× 63 0.7× 45 0.5× 12 0.3× 12 349

Countries citing papers authored by Junseo Bae

Since Specialization
Citations

This map shows the geographic impact of Junseo Bae's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junseo Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junseo Bae more than expected).

Fields of papers citing papers by Junseo Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junseo Bae. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junseo Bae. The network helps show where Junseo Bae may publish in the future.

Co-authorship network of co-authors of Junseo Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Junseo Bae. A scholar is included among the top collaborators of Junseo Bae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junseo Bae. Junseo Bae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Ji-Myong, Sang‐Guk Yum, & Junseo Bae. (2025). Deploying predictive analytics to reduce accident risks of construction migrant workers on sites: a case of South Korea. Journal of Asian Architecture and Building Engineering. 1–13. 1 indexed citations
2.
Kim, Ji-Myong, Sang‐Guk Yum, Manik Das Adhikari, & Junseo Bae. (2024). A deep-learning approach to leveraging natural hazard indicators for improved safety on construction sites. Safety Science. 177. 106596–106596. 7 indexed citations
3.
Bae, Junseo. (2024). Supervised learning to covering cost risk through post-construction evaluation of transportation projects by project delivery methods. Engineering Construction & Architectural Management. 32(9). 5863–5884. 2 indexed citations
4.
Kim, Ji-Myong, Manik Das Adhikari, Junseo Bae, & Sang‐Guk Yum. (2024). A deep neural network algorithm-based approach for predicting recovery period of accidents according to construction scale. Heliyon. 10(11). e32215–e32215. 3 indexed citations
5.
Kim, Ji-Myong, Junseo Bae, Manik Das Adhikari, & Sang‐Guk Yum. (2023). A study of deep learning algorithm usage in predicting building loss ratio due to typhoons: the case of southern part of the Korean Peninsula. Frontiers in Earth Science. 11. 3 indexed citations
6.
Kim, Ji-Myong, Junseo Bae, Manik Das Adhikari, & Sang‐Guk Yum. (2023). Building loss assessment using deep learning algorithm from typhoon Rusa. Heliyon. 10(1). e23324–e23324. 3 indexed citations
7.
Kim, Ji-Myong, et al.. (2022). Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis. Natural hazards and earth system sciences. 22(6). 2131–2144. 10 indexed citations
8.
Kim, Ji-Myong, et al.. (2022). Predicting financial losses due to apartment construction accidents utilizing deep learning techniques. Scientific Reports. 12(1). 5365–5365. 7 indexed citations
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11.
Bae, Junseo, Sang‐Guk Yum, & Ji-Myong Kim. (2021). Harnessing Machine Learning for Classifying Economic Damage Trends in Transportation Infrastructure Projects. Sustainability. 13(11). 6376–6376. 7 indexed citations
12.
Choi, Kunhee, Junseo Bae, & Young Hoon Kwak. (2021). OPTID: Optimal Incentives and Disincentives. Journal of Management in Engineering. 37(5). 2 indexed citations
13.
Kim, Ji-Myong, et al.. (2021). Development of Model to Predict Natural Disaster-Induced Financial Losses for Construction Projects Using Deep Learning Techniques. Sustainability. 13(9). 5304–5304. 25 indexed citations
14.
Bae, Junseo & Kunhee Choi. (2020). A land-use clustering approach to capturing the level-of-service of large urban corridors: A case study in downtown Los Angeles. Environment and Planning B Urban Analytics and City Science. 48(7). 2093–2109. 2 indexed citations
15.
Bae, Junseo, et al.. (2017). Multi-contextual approach to modeling traffic impact of urban highway work zones.
16.
Choi, Kunhee, et al.. (2017). IRIER: A Decision-Support Model for Optimal Energy Retrofit Investments. Journal of Construction Engineering and Management. 143(9). 8 indexed citations
17.
Choi, Kunhee, et al.. (2017). Effect of the socio-geographic factors on cost overruns in roadway renewal projects. 1 indexed citations
18.
Choi, Kunhee, et al.. (2015). Time-Cost Performance Effect of Change Orders from Accelerated Contract Provisions. Journal of Construction Engineering and Management. 142(3). 23 indexed citations
19.
Cho, Young Sang, et al.. (2007). Study of Optimized Steel Truss Design Using Neural Network to Resist Lateral Loads. Key engineering materials. 348-349. 405–408. 2 indexed citations
20.
Cho, Young Sang, et al.. (2007). Structural system optimization of high rise building based on optimal topology. 1265–1272. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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