Simin Ye
Impact in
-
- Machine Learning in Materials Science
- Carbon and Quantum Dots Applications
- Advanced Nanomaterials in Catalysis
- 2D Materials and Applications
Papers in
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- Machine Learning in Materials Science 6
- 2D Materials and Applications 3
- Carbon and Quantum Dots Applications 2
- Graphene research and applications 2
-
- Advanced biosensing and bioanalysis techniques 5
- Protein Structure and Dynamics 3
- Co-authors
- Chengbin Zheng (10 shared papers)Jinyi Zhang (9 shared papers)Yanqiang Han (10 shared papers)Jinjin Li (10 shared papers)Junfei Cai (8 shared papers)Zhilong Wang (9 shared papers)Yao Lin (5 shared papers)An Chen (7 shared papers)
- Journals
- Analytical Chemistry (5 papers)The FASEB Journal (2 papers)Journal of Hazardous Materials (2 papers)Briefings in Bioinformatics (2 papers)Physical Chemistry Chemical Physics (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Simin Ye
26 papers receiving 370 citations
Peers
Comparison fields: 5 of 85
- Materials Chemistry 155
- Biological Psychiatry 7
- Analytical Chemistry 24
- Inorganic Chemistry 27
- Biochemistry 13
Countries citing papers authored by Simin Ye
This map shows the geographic impact of Simin Ye'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 Simin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simin Ye more than expected).
Fields of papers citing papers by Simin Ye
This network shows the impact of papers produced by Simin Ye. 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 Simin Ye. The network helps show where Simin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Simin Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 48 | |
| 2 | 2023 | 42 | |
| 3 | 2022 | 25 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 24 | |
| 6 | 2023 | 18 | |
| 7 | 2020 | 17 | |
| 8 | 2024 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2025 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2023 | 6 |
About Simin Ye
Simin Ye is a scholar working on Materials Chemistry, Molecular Biology, Nephrology, Analytical Chemistry and Biomedical Engineering, having authored 27 papers that have together received 374 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Biosensors and Analytical Detection (4 papers), Protein Structure and Dynamics (3 papers), 2D Materials and Applications (3 papers), Carbon and Quantum Dots Applications (2 papers), Graphene research and applications (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Materials Chemistry (155 citations), Biological Psychiatry (7 citations), Analytical Chemistry (24 citations), Inorganic Chemistry (27 citations) and Biochemistry (13 citations). Simin Ye has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Chengbin Zheng, Jinyi Zhang, Yanqiang Han, Jinjin Li, Junfei Cai, Zhilong Wang, Yao Lin, An Chen, Yurong Deng and An Chen. Their work appears in journals such as Analytical Chemistry, The FASEB Journal, Journal of Hazardous Materials, Briefings in Bioinformatics and Physical Chemistry Chemical Physics.
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.