Ruihuan Zhao
- Analytical Chemistry top 5%
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography 8
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- Advanced Nanomaterials in Catalysis 6
- Carbon and Quantum Dots Applications 4
- Nanocluster Synthesis and Applications 3
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- Electrochemical sensors and biosensors 4
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- Ultrasonics and Acoustic Wave Propagation 3
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- Advanced biosensing and bioanalysis techniques 3
- Glycosylation and Glycoproteins Research 2
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ruihuan Zhao
24 papers receiving 358 citations
Peers
Comparison fields: 5 of 86
- Analytical Chemistry 85
- Spectroscopy 83
- Complementary and alternative medicine 40
- Electrochemistry 29
- Materials Chemistry 101
Countries citing papers authored by Ruihuan Zhao
This map shows the geographic impact of Ruihuan Zhao'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 Ruihuan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruihuan Zhao more than expected).
Fields of papers citing papers by Ruihuan Zhao
This network shows the impact of papers produced by Ruihuan Zhao. 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 Ruihuan Zhao. The network helps show where Ruihuan Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruihuan Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 32 | |
| 13 | 2018 | 23 | |
| 14 | 2018 | 9 | |
| 15 | 2004 | 105 | |
| 16 | [Application of simulated annealing genetic algorithm in optimization of linear gradient elution conditions in HPLC]. | 2004 | 1 |
| 17 | [Application of genetic algorithm in optimization of mobile phase composition in high performance liquid chromatography]. | 2002 | 2 |
| 18 | Application of the artificial neural network in a study of the relationship between retention index and molecular structure parameters in MECC | 2000 | 4 |
| 19 | 1985 | 30 | |
| 20 | 1985 | 11 |
About Ruihuan Zhao
Ruihuan Zhao is a scholar working on Spectroscopy, Analytical Chemistry, Electrochemistry, Industrial and Manufacturing Engineering and Health Information Management, having authored 26 papers that have together received 363 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (8 papers), Advanced Nanomaterials in Catalysis (6 papers), Electrochemical sensors and biosensors (4 papers), Carbon and Quantum Dots Applications (4 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Nanocluster Synthesis and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Analytical Chemistry (85 citations), Spectroscopy (83 citations), Complementary and alternative medicine (40 citations), Electrochemistry (29 citations) and Materials Chemistry (101 citations). Ruihuan Zhao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xin Yao, Xueguo Chen, Jianyi Ni, Hanfa Zou, J. C. M. Li, Xingye Su, Hongjing Fu, Liang Kong, Dingding Yang and Yichu Shan. Their work appears in journals such as Nanotechnology, Analytical Chemistry, Analytica Chimica Acta, International Journal of Fracture and Journal of Colloid and Interface Science.
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.