Sai Jiang
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
-
- Advanced Memory and Neural Computing
- Organic Electronics and Photovoltaics
- Perovskite Materials and Applications
Papers in
-
- Perovskite Materials and Applications 25
- Organic Electronics and Photovoltaics 20
- Advanced Memory and Neural Computing 15
- Chalcogenide Semiconductor Thin Films 14
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- Quantum Dots Synthesis And Properties 10
- Ferroelectric and Piezoelectric Materials 7
- Co-authors
- Yun Li (30 shared papers)Yi Shi (27 shared papers)Qijing Wang (26 shared papers)Xinran Wang (15 shared papers)Jun Qian (7 shared papers)Jun Qian (12 shared papers)Hengyuan Wang (12 shared papers)Mengjiao Pei (11 shared papers)
In The Last Decade
Sai Jiang
81 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 75
- Polymers and Plastics 303
- Electrical and Electronic Engineering 1.0k
- Cellular and Molecular Neuroscience 228
- Materials Chemistry 472
- Biomedical Engineering 391
Countries citing papers authored by Sai Jiang
This map shows the geographic impact of Sai Jiang'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 Sai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Jiang more than expected).
Fields of papers citing papers by Sai Jiang
This network shows the impact of papers produced by Sai Jiang. 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 Sai Jiang. The network helps show where Sai Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai Jiang, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 146 | |
| 2 | 2022 | 90 | |
| 3 | 2019 | 90 | |
| 4 | 2020 | 76 | |
| 5 | 2020 | 75 | |
| 6 | 2018 | 63 | |
| 7 | 2017 | 54 | |
| 8 | 2018 | 41 | |
| 9 | 2017 | 38 | |
| 10 | 2023 | 36 | |
| 11 | 1996 | 35 | |
| 12 | 2023 | 33 | |
| 13 | 2018 | 33 | |
| 14 | 2019 | 32 | |
| 15 | 2020 | 30 | |
| 16 | 2017 | 29 | |
| 17 | 1996 | 26 | |
| 18 | 2020 | 24 | |
| 19 | 2013 | 23 | |
| 20 | 2012 | 21 |
About Sai Jiang
Sai Jiang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Condensed Matter Physics and Polymers and Plastics, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (25 papers), Organic Electronics and Photovoltaics (20 papers), Advanced Memory and Neural Computing (15 papers), Chalcogenide Semiconductor Thin Films (14 papers), Physics of Superconductivity and Magnetism (14 papers), Conducting polymers and applications (13 papers), Quantum Dots Synthesis And Properties (10 papers) and Ferroelectric and Piezoelectric Materials (7 papers). The work is most often cited by research in Polymers and Plastics (303 citations), Electrical and Electronic Engineering (1.0k citations), Cellular and Molecular Neuroscience (228 citations), Materials Chemistry (472 citations) and Biomedical Engineering (391 citations). Sai Jiang has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Yun Li, Yi Shi, Qijing Wang, Xinran Wang, Jun Qian, Jun Qian, Hengyuan Wang, Mengjiao Pei, Yu Wang and Youdou Zheng. Their work appears in journals such as The Journal of Physical Chemistry Letters, Journal of Materials Chemistry C, Advanced Functional Materials, Applied Physics Letters and Advanced Electronic 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.