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Jingyun Fang

Researcher at Peking University

Publications -  523
Citations -  53730

Jingyun Fang is an academic researcher from Peking University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 98, co-authored 435 publications receiving 40880 citations. Previous affiliations of Jingyun Fang include Beijing Forestry University & Harbin Institute of Technology.

Papers
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Does Forest Soil Fungal Community Respond to Short-Term Simulated Nitrogen Deposition in Different Forests in Eastern China?

TL;DR: Wang et al. as mentioned in this paper conducted a short-term (4-5 years) experiment of artificial N addition to simulated N deposition in five typical forest ecosystems across eastern China, which includes tropical montane rainforest, subtropical evergreen broad leaved forest, temperate deciduous broadleaved and conifer mixed forest along a latitudinal gradient from tropical to cold temperature zones.
Patent

ABTS-based rapid analysis method for chlorine dioxide and chlorite

TL;DR: In this paper, an ABTS-based rapid analysis method for chlorine dioxide and chlorite is proposed, which comprises the steps that a to-be tested water sample is taken, the pH value is regulated to be 6.5, ABTS solution is added, the light absorbance of the solution under the wavelength being 405 nm is measured, and the concentration of chlorine dioxide is obtained through calculation.
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Probing into the mechanisms of disinfection by-product formation from natural organic matter and model compounds after UV/chlorine treatment

TL;DR: In this paper , the mechanisms of DBP formation triggered by UV/chlorine treatment were scrutinized in this paper, while the formation of disinfection by-products (DBPs) is a concern.
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Risk of colorectal cancer after appendectomy: A systematic review and meta‐analysis

TL;DR: In this paper , a systematic review and meta-analysis aimed at investigating the suggested correlation between appendectomy and colorectal cancer (CRC) was conducted. But whether appendectomy is associated with various diseases remains uncertain.
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Noninvasive predictive models based on lifestyle analysis and risk factors for early-onset colorectal cancer.

TL;DR: Wang et al. as mentioned in this paper developed non-invasive predictive models for early-onset colorectal cancer (EO-CRC) and investigated its risk factors, including consumption of sweet and fried foods.