Shifa Zhong
- Materials Chemistry top 10%
- Water Science and Technology top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Biomedical Engineering top 10%
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Huichun ZhangKai ZhangXiong YuLin LiangJianmin SunChung-Chiun LiuYifan DaiJianzhi Huang
- Topics
- Computational Drug Discovery Methods (8 papers)Electrochemical Analysis and Applications (6 papers)Machine Learning in Materials Science (6 papers)
- Cited by
- Process Chemistry and TechnologyWater Science and TechnologyIndustrial and Manufacturing Engineering
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Shifa Zhong
42 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Materials Chemistry 712
- Water Science and Technology 667
- Renewable Energy, Sustainability and the Environment 539
- Biomedical Engineering 391
- Industrial and Manufacturing Engineering 337
Countries citing papers authored by Shifa Zhong
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 17 | |
| 11 | 77 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 25 | |
| 15 | 4 | |
| 16 | 46 | |
| 17 | 164 | |
| 18 | Dissolution, Adsorption, and Redox Reaction in Ternary Mixtures of Goethite, Aluminum Oxides, and Hydroquinone | 2 |
| 19 | 33 | |
| 20 | 39 |
About Shifa Zhong
Shifa Zhong is a scholar working on Process Chemistry and Technology, Electrochemistry and Industrial and Manufacturing Engineering, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Electrochemical Analysis and Applications (6 papers) and Machine Learning in Materials Science (6 papers). The work is most often cited by research in Process Chemistry and Technology (161 citations), Water Science and Technology (667 citations) and Industrial and Manufacturing Engineering (337 citations). Shifa Zhong has collaborated with scholars based in United States, China and Hong Kong. Frequent 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. Their work appears in journals such as Environmental Science & Technology, Water Research and Journal of Hazardous Materials.
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.