Jie Lao
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- Electrocatalysts for Energy Conversion 5
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- Advanced Memory and Neural Computing 12
- Perovskite Materials and Applications 7
- Advanced battery technologies research 3
- Polymers and Plastics top 10%
- Conducting polymers and applications 3
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- Photoreceptor and optogenetics research 6
- Neuroscience and Neural Engineering 4
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- Neural Networks and Reservoir Computing 4
- Cited by
- Renewable Energy, Sustainability and the EnvironmentElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- Chemical Engineering Journal (1 paper)ACS Applied Materials & Interfaces (1 paper)Journal of Catalysis (1 paper)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Jie Lao
20 papers receiving 672 citations
Hit Papers
Peers
Comparison fields: 5 of 39
- Renewable Energy, Sustainability and the Environment 176
- Electrical and Electronic Engineering 590
- Polymers and Plastics 140
- Cellular and Molecular Neuroscience 161
- Electrochemistry 34
Countries citing papers authored by Jie Lao
This map shows the geographic impact of Jie Lao'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 Jie Lao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Lao more than expected).
Fields of papers citing papers by Jie Lao
This network shows the impact of papers produced by Jie Lao. 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 Jie Lao. The network helps show where Jie Lao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jie Lao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 23 | |
| 2 | 2023 | 34 | |
| 3 | 2023 | 18 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 32 | |
| 8 | Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoirbreakdown → | 2022 | 140 |
| 9 | 2022 | 4 | |
| 10 | 2021 | 83 | |
| 11 | 2021 | 49 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 27 | |
| 15 | 2020 | 31 | |
| 16 | 2020 | 24 | |
| 17 | 2020 | 35 | |
| 18 | 2019 | 37 | |
| 19 | 2019 | 49 | |
| 20 | 2019 | 47 |
About Jie Lao
Jie Lao is a scholar working on Cellular and Molecular Neuroscience, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 20 papers that have together received 680 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Perovskite Materials and Applications (7 papers), Photoreceptor and optogenetics research (6 papers), Electrocatalysts for Energy Conversion (5 papers), Neural Networks and Reservoir Computing (4 papers), Neuroscience and Neural Engineering (4 papers), Conducting polymers and applications (3 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (176 citations), Electrical and Electronic Engineering (590 citations) and Polymers and Plastics (140 citations). Jie Lao has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Hui Peng, Chunhua Luo, Chunli Jiang, Hechun Lin, Chun‐Gang Duan, Bobo Tian, Ni Zhong, Ruijuan Qi, Rong Huang and Geoffrey I. N. Waterhouse. Their work appears in journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Journal of Catalysis.
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.