Xiujuan Tang
- Materials Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering
- Infectious Diseases top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Daihai HeShuiliang YaoXuming ZhangJingyi HanZuliang WuYing LiuBoqiong JiangHao Lu
- Topics
- Catalytic Processes in Materials Science (19 papers)Plasma Applications and Diagnostics (16 papers)COVID-19 epidemiological studies (9 papers)
In The Last Decade
Xiujuan Tang
52 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Materials Chemistry 585
- Radiology, Nuclear Medicine and Imaging 323
- Electrical and Electronic Engineering 300
- Infectious Diseases 215
- Renewable Energy, Sustainability and the Environment 214
Countries citing papers authored by Xiujuan Tang
This map shows the geographic impact of Xiujuan Tang'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 Xiujuan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiujuan Tang more than expected).
Fields of papers citing papers by Xiujuan Tang
This network shows the impact of papers produced by Xiujuan Tang. 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 Xiujuan Tang. The network helps show where Xiujuan Tang may publish in the future.
Co-authorship network of co-authors of Xiujuan Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiujuan Tang. A scholar is included among the top collaborators of Xiujuan Tang 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 Xiujuan Tang. Xiujuan Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Rational design of a novel MIL-100(Fe)/TpPa-1 COF direct Z-scheme heterojunction for photo-self-Fenton removal of antibiotics: Performance and ecotoxicity assessmentbreakdown → | 44 |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 37 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 30 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | 12 | |
| 17 | 24 | |
| 18 | 19 | |
| 19 | 8 | |
| 20 | 51 |
About Xiujuan Tang
Xiujuan Tang is a scholar working on Modeling and Simulation, Catalysis and Radiology, Nuclear Medicine and Imaging, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (19 papers), Plasma Applications and Diagnostics (16 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Catalysis (184 citations), Modeling and Simulation (117 citations) and Radiology, Nuclear Medicine and Imaging (323 citations). Xiujuan Tang has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Daihai He, Shuiliang Yao, Xuming Zhang, Jingyi Han, Zuliang Wu, Ying Liu, Boqiong Jiang, Hao Lu, Fada Feng and Keping Yan. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases 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.