LabCompass

Benjamin Jiang

Decision Sciences · The Ohio State University

Mid career · publishing since 2009

Publications

18

Citations

15

Est. group size

~2

Recurring co-author estimate

Active years

17

Publishing since 2009

Research summary
AI-generated

This record appears to combine work from more than one contributor sharing the same name, spanning stock option price forecasting using mathematical finance methods combined with machine learning, and separate clinical case reports in neurology and cardiology. The finance-related work focuses on numerically solving the Black-Scholes equation (a standard model for pricing financial options) and pairing it with machine learning classification to improve forecasts. Because the topic list and publication set are so mixed, prospective students should verify directly which specific research area and publications belong to this individual.

Mathematical finance and option pricingBlack-Scholes equation numerical methodsMachine learning classificationClinical case reports (neurology/cardiology)Decision sciences applications

Publication output has been low and irregular over the last decade, averaging about 1-2 papers per year with no clear growth or decline.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
2017: 1 publication17182019: 1 publication192020: 4 publications4202021: 2 publications212022: 2 publications222023: 2 publications232024: 2 publications242025: 1 publication2526
Publishes in
  • Neurology×5
  • Zenodo (CERN European Organization for Nuclear Research)×2
  • Clinical Nephrology×1
  • Teaching and Learning in Medicine×1
  • Journal of the American Society of Nephrology×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 19, 2026.

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