Yanran Li
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 11
- Ferroelectric and Negative Capacitance Devices 4
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- Human Pose and Action Recognition 4
- Co-authors
- Jie Jiang (12 shared papers)Dingdong Xie (3 shared papers)Guangdi Feng (1 shared paper)Bobo Tian (1 shared paper)Qing Wan (1 shared paper)Xiaosong Yang (6 shared papers)Hongqi Li (2 shared papers)Jianjun Zhang (4 shared papers)
- Journals
- Frontiers in Public Health (2 papers)Sensors (2 papers)Medical Physics (1 paper)Transportation Research Part D Transport and Environment (1 paper)Materials Horizons (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Yanran Li
41 papers receiving 655 citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 159
- Electrical and Electronic Engineering 328
- Computer Vision and Pattern Recognition 104
- Polymers and Plastics 62
- Rehabilitation 24
Countries citing papers authored by Yanran Li
This map shows the geographic impact of Yanran Li'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 Yanran Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanran Li more than expected).
Fields of papers citing papers by Yanran Li
This network shows the impact of papers produced by Yanran Li. 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 Yanran Li. The network helps show where Yanran Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanran Li, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 144 | |
| 2 | 2022 | 74 | |
| 3 | 2017 | 44 | |
| 4 | 2019 | 43 | |
| 5 | 2023 | 40 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 38 | |
| 8 | 2014 | 26 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 14 | |
| 12 | 2022 | 14 | |
| 13 | Deep Reinforcement Learning in Portfolio Management | 2018 | 12 |
| 14 | 2022 | 11 | |
| 15 | 2025 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 7 |
About Yanran Li
Yanran Li is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 43 papers that have together received 665 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (7 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Human Pose and Action Recognition (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Gait Recognition and Analysis (3 papers), Transition Metal Oxide Nanomaterials (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (159 citations), Electrical and Electronic Engineering (328 citations), Computer Vision and Pattern Recognition (104 citations), Polymers and Plastics (62 citations) and Rehabilitation (24 citations). Yanran Li has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Jie Jiang, Dingdong Xie, Guangdi Feng, Bobo Tian, Qing Wan, Xiaosong Yang, Hongqi Li, Jianjun Zhang, Xiaoliang Liu and Mei Fang. Their work appears in journals such as Frontiers in Public Health, Sensors, Medical Physics, Transportation Research Part D Transport and Environment and Materials Horizons.
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.