Liuting Shan
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 17
- CCD and CMOS Imaging Sensors 5
- Organic Electronics and Photovoltaics 1
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- Advanced Sensor and Energy Harvesting Materials 9
- Co-authors
- Huipeng Chen (20 shared papers)Tailiang Guo (14 shared papers)Yaqian Liu (8 shared papers)Enlong Li (4 shared papers)Rengjian Yu (5 shared papers)Qizhen Chen (4 shared papers)Xianghong Zhang (8 shared papers)Changsong Gao (8 shared papers)
In The Last Decade
Liuting Shan
22 papers receiving 514 citations
Peers
Comparison fields: 5 of 45
- Polymers and Plastics 185
- Cellular and Molecular Neuroscience 132
- Electrical and Electronic Engineering 345
- Cognitive Neuroscience 100
- Biomedical Engineering 224
Countries citing papers authored by Liuting Shan
This map shows the geographic impact of Liuting Shan'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 Liuting Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liuting Shan more than expected).
Fields of papers citing papers by Liuting Shan
This network shows the impact of papers produced by Liuting Shan. 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 Liuting Shan. The network helps show where Liuting Shan may publish in the future.
Co-authors
The 25 scholars most cited alongside Liuting Shan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2023 | 71 | |
| 3 | 2021 | 54 | |
| 4 | 2021 | 49 | |
| 5 | 2022 | 40 | |
| 6 | 2023 | 36 | |
| 7 | 2024 | 28 | |
| 8 | 2021 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2024 | 20 | |
| 11 | 2024 | 17 | |
| 12 | 2024 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 1 |
About Liuting Shan
Liuting Shan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Conducting polymers and applications (8 papers), Neural Networks and Reservoir Computing (8 papers), CCD and CMOS Imaging Sensors (5 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (3 papers) and Organic Electronics and Photovoltaics (1 paper). The work is most often cited by research in Polymers and Plastics (185 citations), Cellular and Molecular Neuroscience (132 citations), Electrical and Electronic Engineering (345 citations), Cognitive Neuroscience (100 citations) and Biomedical Engineering (224 citations). Liuting Shan has collaborated with scholars based in China, Singapore and Ethiopia. Frequent co-authors include Huipeng Chen, Tailiang Guo, Yaqian Liu, Enlong Li, Rengjian Yu, Qizhen Chen, Xianghong Zhang, Changsong Gao, Yujie Yan and Yuanyuan Hu. Their work appears in journals such as Nano Energy, IEEE Electron Device Letters, Nature Communications, Advanced Materials and Advanced Functional 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.