LabCompass

Chih-Hao Fang

Engineering · Purdue University West Lafayette

OpenAlex
Mid career · publishing since 2015
Sparse and Compressive Sensing TechniquesStochastic Gradient Optimization TechniquesSepsis Diagnosis and TreatmentGenomics and Chromatin DynamicsBayesian Modeling and Causal Inference

Publications

13

Citations

75

Est. group size

~1

Recurring co-author estimate

Active years

11

Publishing since 2015

Research summary
AI-generated

Chih-Hao Fang's publicly available research record is limited, drawing on a small set of publications and topic tags that span quite different areas, including sparse/compressive sensing, optimization methods, sepsis-related medical research, genomics, and Bayesian statistical modeling. One identifiable publication concerns software development for a Mandarin hearing-in-noise test, suggesting some work related to audiology or speech assessment tools. Because the available bibliographic data is sparse and topically scattered, it is difficult to characterize a single coherent research focus for this PI.

Sparse and compressive sensingOptimization techniquesBayesian and causal statistical modelingGenomics and chromatin biologySpeech/hearing assessment tools

Publication output over the last decade has been irregular and low-volume, with occasional years of a few papers interspersed with years of no recorded output, averaging less than one publication per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 0.8/year recently
172018: 3 publications3182019: 1 publication192020: 3 publications320212022: 2 publications22232024: 1 publication242025: 1 publication2526
Recent publications
  • 台灣地區噪音下漢語語音聽辨測驗之軟體發展;Software Development of Taiwan Mandarin Hearing In Noise Test

    2018

Publishes in
  • arXiv (Cornell University)×4
  • BMC Systems Biology×1
  • iScience×1
  • PLOS Digital Health×1
  • BMC Bioinformatics×1
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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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