Shifa Zhong

3.2k total citations · 1 hit paper
43 papers, 2.6k citations indexed

About

Shifa Zhong is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Biomedical Engineering. According to data from OpenAlex, Shifa Zhong has authored 43 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 10 papers in Renewable Energy, Sustainability and the Environment and 10 papers in Biomedical Engineering. Recurrent topics in Shifa Zhong's work include Computational Drug Discovery Methods (8 papers), Electrochemical Analysis and Applications (6 papers) and Machine Learning in Materials Science (6 papers). Shifa Zhong is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Electrochemical Analysis and Applications (6 papers) and Machine Learning in Materials Science (6 papers). Shifa Zhong collaborates with scholars based in United States, China and Hong Kong. Shifa Zhong's co-authors include Huichun Zhang, Kai Zhang, Xiong Yu, Lin Liang, Jianmin Sun, Chung-Chiun Liu, Yifan Dai, Jianzhi Huang, Xiaohong Guan and Jiajie Hu and has published in prestigious journals such as Environmental Science & Technology, Water Research and Journal of Hazardous Materials.

In The Last Decade

Shifa Zhong

42 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning: New Ideas and Tools in Environmental Science and Engineering

2021 725 citations Shifa Zhong, Kai Zhang et al. Environmental Science & Technology profile →

Peers

Shifa Zhong

WST

RESE

IME

Elena-Niculina Drăgoi Romania

Hong You China

Xiaolan Zeng China

Cláudio Augusto Oller do Nascimento Brazil

Yiliang Chen China

Muhammad Abdul Qyyum South Korea

Khim Hoong Chu Malaysia

Jiwei Hu China

Shiyuan Ding China

Elena-Niculina Drăgoi Romania

Shifa Zhong

816 ×1.1

714 ×1.1

WST

677 ×1.3

RESE

649 ×1.7

405 ×1.2

IME

Citations per year, relative to Shifa Zhong Shifa Zhong (= 1×) peers Elena-Niculina Drăgoi

Countries citing papers authored by Shifa Zhong

Since Specialization

Citations

This map shows the geographic impact of Shifa Zhong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shifa Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shifa Zhong more than expected).

Fields of papers citing papers by Shifa Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shifa Zhong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shifa Zhong. The network helps show where Shifa Zhong may publish in the future.

Co-authorship network of co-authors of Shifa Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Shifa Zhong. A scholar is included among the top collaborators of Shifa Zhong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shifa Zhong. Shifa Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhou, Hang, Xue Lu Wang, Wenlong Zhang, et al.. (2025). Design, Synthesis, and Screening of COFs for CO ₂ Adsorption by Gaussian Process. ACS Applied Materials & Interfaces. 17(42). 58628–58638. 1 indexed citations

Liu, Yang, Shuchen Wang, Hongyu Dong, et al.. (2025). TP-Transformer: An Interpretable Model for Predicting the Transformation Pathways of Organic Pollutants in Chemical Oxidation Processes. Environmental Science & Technology. 59(30). 15853–15864. 3 indexed citations

Huang, Yong, et al.. (2025). Advanced Computational Approaches for Unraveling Transformation Pathways of Organic Micropollutants in Aquatic Environments: Insights from the Photodegradation of Ciprofloxacin. Journal of the American Society for Mass Spectrometry. 36(7). 1510–1517.

Zhang, Jing, Kaixing Fu, Shifa Zhong, & Jinming Luo. (2025). Data-Driven Insights into Resin Screening for Targeted Per- and Polyfluoroalkyl Substances Removal Using Machine Learning. Environmental Science & Technology. 59(7). 3603–3612. 5 indexed citations

Guan, Xiaohong, Shuai Zhou, Shifa Zhong, et al.. (2025). Using Machine Learning and GPT Models To Enhance Electrochemical Pretreatment of Anaerobic Cofermentation: Prediction, Early Warning, and Biomarker Identification. ACS ES&T Engineering. 5(5). 1149–1159. 1 indexed citations

Zhong, Shifa, et al.. (2024). Concentration division for adsorption coefficient prediction using machine learning with Abraham descriptors: Data-splitting approach comparison and critical factors identification. Carbon. 230. 119573–119573. 5 indexed citations

Zhong, Shifa, et al.. (2024). Ens-Chemage: Robust Molecular Image-Based Ensemble Transfer Learning Framework for Small Contaminant Property Data Sets. Environmental Science & Technology Letters. 11(11). 1200–1206. 4 indexed citations

Zhong, Shifa, et al.. (2024). Screening Environmentally Benign Ionic Liquids for CO₂ Absorption Using Representation Uncertainty-Based Machine Learning. Environmental Science & Technology Letters. 11(11). 1193–1199. 3 indexed citations

Liu, Fuqiang, Hongyu Dong, Shifa Zhong, et al.. (2024). Selective electrocatalytic transformation of highly toxic phenols in wastewater to para-benzoquinone at ambient conditions. Water Research. 251. 121106–121106. 24 indexed citations

10.

Zhong, Shifa, et al.. (2024). Enhancing Ion Selectivity of Nanofiltration Membranes via Heterogeneous Charge Distribution. Environmental Science & Technology. 58(51). 22818–22828. 17 indexed citations

11.

Zhong, Shifa & Xiaohong Guan. (2023). 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. Environmental Science & Technology. 57(46). 18193–18202. 77 indexed citations

12.

Zhong, Shifa & Xiaohong Guan. (2023). Developing Quantitative Structure–Activity Relationship (QSAR) Models for Water Contaminants’ Activities/Properties by Fine-Tuning GPT-3 Models. Environmental Science & Technology Letters. 10(10). 872–877. 13 indexed citations

13.

Zhong, Shifa, et al.. (2023). Development of gradient boosting-assisted machine learning data-driven model for free chlorine residual prediction. Frontiers of Environmental Science & Engineering. 18(2). 10 indexed citations

14.

Gao, Yidan, Shifa Zhong, Paul G. Tratnyek, et al.. (2021). Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex. Water Research. 192. 116843–116843. 25 indexed citations

15.

Zhong, Shifa, et al.. (2021). ab initio study of Mn-based systems for oxidative degradation. Chemosphere. 291(Pt 1). 132706–132706. 4 indexed citations

16.

Hu, Jiajie, Xijin Zhang, Yihang Zhao, et al.. (2020). A generalized predictive model for TiO2–Catalyzed photo-degradation rate constants of water contaminants through artificial neural network. Environmental Research. 187. 109697–109697. 46 indexed citations

17.

Zhang, Kai, Shifa Zhong, & Huichun Zhang. (2020). Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine Learning. Environmental Science & Technology. 54(11). 7008–7018. 164 indexed citations

18.

Zhang, Huichun, et al.. (2019). Dissolution, Adsorption, and Redox Reaction in Ternary Mixtures of Goethite, Aluminum Oxides, and Hydroquinone. The Journal of Physical Chemistry. 2 indexed citations

19.

Zhong, Shifa & Huichun Zhang. (2019). Mn(III)-ligand complexes as a catalyst in ligand-assisted oxidation of substituted phenols by permanganate in aqueous solution. Journal of Hazardous Materials. 384. 121401–121401. 33 indexed citations

20.

Zhong, Shifa & Huichun Zhang. (2018). New insight into the reactivity of Mn(III) in bisulfite/permanganate for organic compounds oxidation: The catalytic role of bisulfite and oxygen. Water Research. 148. 198–207. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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