LabCompass

Chong Soo Lee

Engineering · Purdue University West Lafayette

Established · publishing since 1972

Publications

434

Citations

13,510

Est. group size

Recurring co-author estimate

Active years

54

Publishing since 1972

Research summary
AI-generated

Chong Soo Lee's research focuses on understanding and improving the microstructure and mechanical performance of metallic materials, including steels, titanium alloys, aluminum alloys, and high-entropy alloys (a class of alloys made from multiple principal elements). Work often examines how processing methods such as rolling, equal channel angular pressing, and heat treatment affect strength, fatigue life, and deformation behavior, with some recent studies applying machine learning to model material behavior. This research area would suit students interested in metallurgy, materials processing, and structure-property relationships in metals.

Steel microstructure and mechanical propertiesTitanium and aluminum alloy processingHigh-entropy alloys and fatigue behaviorMetal deformation processing (rolling, pressing)Machine learning for materials behavior prediction

Publication output was relatively steady to declining over the past decade, peaking around 2017-2018 (14-16 papers/year) and dropping to a lower, more modest rate (2-6 papers/year) in recent years (2023-2025).

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

Publication cadence
Publications per year over the last 10 years — averaging 4.6/year recently
2017: 14 publications172018: 16 publications16182019: 6 publications192020: 13 publications202021: 11 publications212022: 11 publications222023: 6 publications232024: 4 publications242025: 2 publications2526
Recent publications
Publishes in
  • Materials Science and Engineering A×23
  • Metals and Materials International×9
  • Journal of Materials Research and Technology×5
  • Journal of Material Science and Technology×4
  • Open Access System for Information Sharing (Pohang University of Science and Technology)×4
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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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