LabCompass

Jun Chen

Environmental Science · Purdue University West Lafayette

Established · publishing since 2000

Publications

196

Citations

3,534

Est. group size

~2

Recurring co-author estimate

Active years

27

Publishing since 2000

Research summary
AI-generated

Jun Chen's work centers on the physical and chemical behavior of minerals and particles, especially clay minerals like kaolinite and montmorillonite, and how they interact with water, chemical additives, and other minerals in processes such as coal processing and mineral separation (flotation). The research combines laboratory experiments with computational modeling (such as DFT and molecular dynamics simulations) to understand surface chemistry at the atomic level, and also extends into related applied areas like food packaging materials, water treatment, and battery materials. This work is relevant to industrial processes including coal cleaning, mineral processing, wastewater treatment, and materials development.

Clay mineral surface chemistryCoal and mineral processing (flotation, flocculation)Molecular simulation (DFT, molecular dynamics)Water treatment and pollutant removalFood hydrocolloids and packaging materials

Publication output has grown substantially over the past decade, rising from roughly 6-11 papers per year in 2017-2021 to a notably higher and more variable output of 16-33 papers per year from 2022-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 19.8/year recently
2017: 11 publications172018: 9 publications182019: 6 publications192020: 11 publications202021: 10 publications212022: 33 publications33222023: 16 publications232024: 30 publications242025: 19 publications252026: 1 publication26
Recent publications
Publishes in
  • SSRN Electronic Journal×13
  • Applied Surface Science×12
  • Physicochemical Problems of Mineral Processing×8
  • Fuel×7
  • Journal of Molecular Liquids×5
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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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