Yating Li
Impact in
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- Advanced Memory and Neural Computing
- Fuel Cells and Related Materials
Papers in
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- Advanced Memory and Neural Computing 5
- Electrochemical sensors and biosensors 3
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- Fiber-reinforced polymer composites 4
- Co-authors
- Peng Gao (1 shared paper)Shuai Liu (1 shared paper)Weiping Ding (1 shared paper)Weina Fu (1 shared paper)Mengjiao Pei (5 shared papers)Zhiyong Yan (1 shared paper)Gaohong He (1 shared paper)Zhanyu Zhang (1 shared paper)
- Journals
- Composites Part B Engineering (3 papers)Sensors and Actuators B Chemical (3 papers)Composites Science and Technology (2 papers)Information Sciences (1 paper)Atmosphere (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Yating Li
38 papers receiving 633 citations
Peers
Comparison fields: 5 of 108
- Electrical and Electronic Engineering 268
- Polymers and Plastics 65
- Bioengineering 26
- Artificial Intelligence 118
- Cellular and Molecular Neuroscience 65
Countries citing papers authored by Yating Li
This map shows the geographic impact of Yating 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 Yating Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yating Li more than expected).
Fields of papers citing papers by Yating Li
This network shows the impact of papers produced by Yating 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 Yating Li. The network helps show where Yating Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yating 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 92 | |
| 2 | 2022 | 83 | |
| 3 | 2019 | 64 | |
| 4 | 2023 | 63 | |
| 5 | 2016 | 43 | |
| 6 | 2023 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2022 | 27 | |
| 9 | 2023 | 22 | |
| 10 | 2023 | 20 | |
| 11 | 2015 | 17 | |
| 12 | 1993 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2024 | 13 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2025 | 6 |
About Yating Li
Yating Li is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry, Mechanics of Materials and Biomedical Engineering, having authored 40 papers that have together received 651 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Analytical Chemistry and Sensors (4 papers), Fiber-reinforced polymer composites (4 papers), Electrochemical sensors and biosensors (3 papers), Neural Networks and Reservoir Computing (3 papers), Sustainable Supply Chain Management (3 papers), Sustainable Industrial Ecology (3 papers) and Graphene research and applications (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (268 citations), Polymers and Plastics (65 citations), Bioengineering (26 citations), Artificial Intelligence (118 citations) and Cellular and Molecular Neuroscience (65 citations). Yating Li has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Peng Gao, Shuai Liu, Weiping Ding, Weina Fu, Mengjiao Pei, Zhiyong Yan, Gaohong He, Zhanyu Zhang, Jianfeng Zhu and Qing Wu. Their work appears in journals such as Composites Part B Engineering, Sensors and Actuators B Chemical, Composites Science and Technology, Information Sciences and Atmosphere.
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.