Jing Fang Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Central Arkansas

Last publication 2025 Last refreshed 2026-05-16

faculty

8 h-index 45 pubs 350 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Jing Fang's research interests span multiple disciplines, including computer science, finance, and health sciences. In computer science, Fang has explored advancements in database systems, as evidenced by publications on "PolarDB Serverless" and "From Scale-Up to Scale-Out: PolarDB's Journey to Achieving 2 Billion tpmC." Fang has also investigated computer vision techniques for industrial applications, with work on "Multi-line laser structured light fast visual positioning system with assist of TOF and CAD" and "Rapid detection of weld contour based on compound vision of projection structured light and shape from shading."

In finance, Fang's work has focused on the relationship between financial distress, idiosyncratic volatility, and stock returns, utilizing finite mixture approaches. In health sciences, Fang has contributed to the field through a systematic review and meta-analysis on the "Effectiveness of Advance Care Planning for End-of-Life Outcomes in Nursing Home Residents With Dementia."

Fang's scholarship metrics include an h-index of 8, with a total of 47 publications and 337 citations. The researcher has been recently active, with the most recent publication in 2025.

Metrics

h-index: 8
Publications: 45
Citations: 350

Selected Publications

Evidence on the Two Views of the Role of Trading Friction in Stock Pricing (2026)

DOI OpenAlex
Financial Distress and Stock Comovement (2025)

DOI OpenAlex
Financial distress and return: A finite mixture approach (2025)

1 citation DOI OpenAlex
Idiosyncratic volatility and return: A finite mixture approach (2023)

4 citations DOI OpenAlex