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Shifa Zhong

East China Normal University(CN)

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49

Papers

3.2K

Citations

24

h-index

32

i10-index

Shifa Zhong is an academic researcher from East China Normal University. The author has contributed to research in topics: Computational Drug Discovery Methods & Water Quality Monitoring and Analysis & Electrochemical Analysis and Applications. The author has an h-index of 24, co-authored 42 publications.

ORCID: 0000-0002-5822-0837

Research Topics

Computational Drug Discovery Methods Water Quality Monitoring and Analysis Electrochemical Analysis and Applications Machine Learning in Materials Science Pharmaceutical and Antibiotic Environmental Impacts

Papers by this author

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Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties

2023 · Environmental Science & Technology · 122 citations

https://doi.org/10.1021/acs.est.3c02198

Shifa Zhong Xiaohong Guan

Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity Prediction

2023 · Environmental Science & Technology · 22 citations

https://doi.org/10.1021/acs.est.2c07578

Thomas Igou Shifa Zhong Elliot Reid Yongsheng Chen

Developing Quantitative Structure–Activity Relationship (QSAR) Models for Water Contaminants’ Activities/Properties by Fine-Tuning GPT-3 Models

2023 · Environmental Science & Technology Letters · 22 citations

https://doi.org/10.1021/acs.estlett.3c00599

Shifa Zhong Xiaohong Guan

Coupling-promoted oxidative degradation of organic micropollutants by iron oxychloride (FeOCl) with dual active sites

2021 · Chemical Engineering Journal Advances · 10 citations

https://doi.org/10.1016/j.ceja.2021.100214

Jinling Wang Shifa Zhong Yuzhen Wen Jianan Li

Screening Environmentally Benign Ionic Liquids for CO<sub>2</sub> Absorption Using Representation Uncertainty-Based Machine Learning

2024 · Environmental Science & Technology Letters · 8 citations

https://doi.org/10.1021/acs.estlett.4c00524

Shifa Zhong Yushan Chen Yushan Chen Jibai Li

Using Machine Learning and GPT Models To Enhance Electrochemical Pretreatment of Anaerobic Cofermentation: Prediction, Early Warning, and Biomarker Identification

2025 · ACS ES&T Engineering · 4 citations

https://doi.org/10.1021/acsestengg.4c00830

Jinqi Jiang Qingshan Lin Xiaohong Guan Shuai Zhou

Research topics

topics

Computational Drug Discovery Methods

Water Quality Monitoring and Analysis

Electrochemical Analysis and Applications

Machine Learning in Materials Science

Pharmaceutical and Antibiotic Environmental Impacts

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