Ishdorj, S., Kim, I., Ahn, C. R., & Kim, J. (2025). Effectiveness of VR Training and Observer-Based Learning for Complex and High-Risk Construction Task Performance. Journal of Management in Engineering, 41(6), 04025050. 

Sohn, J. J., Lee, G., Kim, J., Ahn, C. R., & Lee, S. (2025). Assessing Individual Route-Level Distress from Collective Distress by Applying Multitask Learning to Promote Older Adults’ Daily Walking. Journal of Management in Engineering, 41(6), 04025046. 

Lee, Y., Kang, G., Kim, J., Yoon, S., & Jeon, J. (2025). Generative AI-driven data augmentation for enhanced construction hazard detection. Automation in Construction, 177, 106317. 

Kim, J., Lee, K., & Jeon, J. (2024). Systematic literature review of wearable devices and data analytics for construction safety and health. Expert Systems with Applications, 257, 125038. 

Kim, J., Ishdorj, S., Jeon, J., & Kim, J. (2024). Identifying vital factors for enhancing safety communication among foreign construction field workers. Buildings, 14(6), 1714. 

Yoo, B., Kim, J., Park, S., Ahn, C. R., & Oh, T. (2024). Harnessing generative pre-trained transformers for construction accident prediction with saliency visualization. Applied Sciences, 14(2), 664. 

Nirjhar, E. H., Kim, J., Winslow, J. F., Chaspari, T., & Ahn, C. R. (2023). Sensor-based detection of individual walkability perception to promote healthy communities. Smart Health, 29, 100414. 

Jin, X., Ahn, C. R., Kim, J., & Park, M. (2023). Welding spark detection on construction sites using contour detection with automatic parameter tuning and deep-learning-based filters. Sensors, 23(15), 6826. 

Kim, J., Nirjhar, E. H., Lee, H., Chaspari, T., Lee, C., Ham, Y., ... & Ahn, C. R. (2023). Location-based collective distress using large-scale biosignals in real life for walkable built environments. Scientific reports, 13(1), 5940. 

Kim, J., Nirjhar, E. H., Kim, J., Chaspari, T., Ham, Y., Winslow, J. F., ... & Ahn, C. R. (2022). Capturing environmental distress of pedestrians using multimodal data: The interplay of biosignals and image-based data. Journal of Computing in Civil Engineering, 36(2), 04021039. 

Kim, N., Kim, J., & Ahn, C. R. (2021). Predicting workers’ inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment. Advanced Engineering Informatics, 49, 101359. 

Zanwar, P., Kim, J., Kim, J., Manser, M., Ham, Y., Chaspari, T., & Ahn, C. R. (2021). Use of connected technologies to assess barriers and stressors for age and disability-friendly communities. Frontiers in Public Health, 9, 578832. 

Zanwar, P., Lee, C., Ham, Y., Chaspari, T., Kim, J., Tan, S., ... & Ahn, C. (2020). Assessment of emerging mobile connected technologies to promote outdoor mobility and transit in older adults and in those with Alzheimer’s disease and related dementias: Usability, stressors, barriers, and implications for policy: Psychosocial factors and environmental design: Technology and interventions. Alzheimer's & Dementia, 16, e044188. 

Kim, J., Yadav, M., Chaspari, T., & Ahn, C. R. (2020). Environmental distress and physiological signals: Examination of the saliency detection method. Journal of Computing in Civil Engineering, 34(6), 04020046. 

Kim, J., Yadav, M., Chaspari, T., & Ahn, C. R. (2020). Saliency detection analysis of collective physiological responses of pedestrians to evaluate neighborhood built environments. Advanced Engineering Informatics, 43, 101035. 

Kim, J., Ahn, C. R., & Nam, Y. (2019). The influence of built environment features on crowdsourced physiological responses of pedestrians in neighborhoods. Computers, Environment and Urban Systems, 75, 161-169. 

Kwon, N., Song, K., Lee, H. S., Kim, J., & Park, M. (2018). Construction noise risk assessment model focusing on construction equipment. Journal of Construction Engineering and Management, 144(6), 04018034. 

김진우, 임채홍, 문명준, 박순종, & 전정호. (2025). 사회적 수용성 모델을 활용한 모듈러 건축에 대한 사용자 인식 분석. 대한건축학회논문집, 41(1), 325-332. 

김진우, 정인준, 정재훈, 황세훈, 전영훈, & 전정호. (2024). 생성형 인공지능을 활용한 착시형 건설안전표지 개발. 대한건축학회논문집, 40(12), 307-314. 

조선애, 김진우, 김성진, 전정호, & 윤성환. (2025). RBM 기반의 모듈러 시공단계 안전관리 체크리스트 개발. 

Kim, K. H., Kim, T. J., Park, Y. H., Yoon, S. H., Jeon, J. H., & Kim, J. W. (2025). Barriers to the Adoption of Computer Vision-based Object Recognition in Construction Sites-Analyzing Barriers to Safety Technology Adoption Using the Technology Acceptance Model. Korean Journal of Construction Engineering and Management, 87-96. 

Kim, J., Lee, H., Park, M., & Kwon, N. (2017). A system dynamics approach for modeling cognitive process of construction workers' unsafe behaviors. Korean Journal of Construction Engineering and Management, 18(2), 38-48. 

Lee, J. K., Ryu, S. R., Kim, J. W., Kim, B. W., Yoo, Y. H., & Kim, Y. S. (2015). Development of the Prototype of the Temperature Index against Construction Work Disaster in the Extreme Heat Season. J. Korean Inst. Archit. Sustain. Environ. Build. Syst, 9, 181-188. 

Yupanqui, R., Sohn, J., Kim, Y., Flores, R., Lee, H., Kim, J., ... & Chaspari, T. (2024, November). A multimodal analysis of environmental stress experienced by older adults during outdoor walking trips: Implications for designing new intelligent technologies to enhance walkability in low-income Latino communities. In Proceedings of the 26th International Conference on Multimodal Interaction (pp. 302-311). 

Zhang, C., Kim, J., Jeon, J., Xing, J., Ahn, C. R., Tang, P., & Cai, H. (2023). Human-Machine Intelligence. Civil Engineering Magazine Archive, 93(5), 74-79. 

Chaspari, T., Kim, J., Lee, C., Ham, Y., Lee, S., & Ahn, C. R. (2022, October). A digital twin city model for capturing walkability distress of elderly adults. In 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) (pp. 1-2). IEEE. 

Kim, J. (2022). Biosensing of Location-based Environmental Distress of Pedestrians for Walkable Built Environments (Doctoral dissertation).

Zhang, C., Kim, J., Jeon, J., Xing, J., Ahn, C., Tang, P., & Cai, H. (2021). Toward integrated human-machine intelligence for civil engineering: An interdisciplinary perspective. Computing in Civil Engineering 2021, 279-286. 

Kim, J., Yadav, M., Chaspari, T., Winslow, J. F., & Ahn, C. R. (2020, March). Can pedestrians’ physiological signals be indicative of urban built environment conditions?. In Construction Research Congress 2020 (pp. 791-799). Reston, VA: American Society of Civil Engineers.

Ahn, C., Ham, Y., Kim, J., & Kim, J. (2020). A digital twin city model for age-friendly communities: Capturing environmental distress from multimodal sensory data. 

Kim, J., Yadav, M., Ahn, C. R., & Chaspari, T. (2019, June). Saliency detection analysis of pedestrians’ physiological responses to assess adverse built environment features. In ASCE International Conference on Computing in Civil Engineering 2019 (pp. 90-97). Reston, VA: American Society of Civil Engineers. 

Yadav, M., Chaspari, T., Kim, J., & Ahn, C. R. (2018, October). Capturing and quantifying emotional distress in the built environment. In Proceedings of the Workshop on Human-Habitat for Health (H3): Human-Habitat Multimodal Interaction for Promoting Health and Well-Being in the Internet of Things Era (pp. 1-8). 

김진우. (2017). Cognitive Process Model for Construction Safety Management using System Dynamics (Doctoral dissertation, 서울대학교 대학원). 

Kim, J. W., Lee, H. S., Park, M. S., & Lee, J. G. (2015). Construction Safety Hazard Identification in Elevator Installation Phase. Proceedings of the Architectural Institute of Korea, 35(2), 555-6.