LabCompass

Heung Jin Oh

Engineering · Purdue University West Lafayette

Early career · publishing since 2019Rising activity

Publications

16

Citations

51

Est. group size

~1

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Heung Jin Oh works on construction engineering and management, applying data science methods like text mining, topic modeling, and web scraping to study construction labor markets, workforce diversity, and job postings. This research also extends to transportation and smart city topics, such as autonomous vehicles, emergency vehicle GPS data, and drone navigation in construction sites. The work blends civil engineering concerns with computational text and data analysis techniques.

Construction workforce and labor market analysisText mining and topic modeling for job market dataDiversity, equity, and inclusion in construction employmentSmart city and transportation technologiesRobotics and autonomous systems in construction

Publication output has grown from little to no activity in the late 2010s to a steady pace of roughly 2-4 papers per year since 2021.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.6/year recently
17182019: 1 publication19202021: 2 publications212022: 2 publications222023: 4 publications4232024: 3 publications242025: 3 publications252026: 1 publication26
Recent publications
Publishes in
  • EPiC series in built environment×3
  • Journal of Management in Engineering×2
  • Sustainable Cities and Society×1
  • Buildings×1
  • Journal of Construction Engineering and Management×1
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By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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