Mengge Yan
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
- Perovskite Materials and Applications
Papers in
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- Advanced Memory and Neural Computing 8
- Ferroelectric and Negative Capacitance Devices 5
- Perovskite Materials and Applications 2
- Co-authors
- Bobo Tian (11 shared papers)Chun‐Gang Duan (8 shared papers)Junhao Chu (6 shared papers)Xiaodong Tang (4 shared papers)Hui Peng (5 shared papers)Jianlu Wang (3 shared papers)Ni Zhong (3 shared papers)Lan Liu (4 shared papers)
In The Last Decade
Mengge Yan
13 papers receiving 556 citations
Mengge Yan's Hit Papers
Peers
Comparison fields: 5 of 41
- Cellular and Molecular Neuroscience 155
- Electrical and Electronic Engineering 508
- Polymers and Plastics 104
- Artificial Intelligence 116
- Cognitive Neuroscience 59
Countries citing papers authored by Mengge Yan
This map shows the geographic impact of Mengge Yan'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 Mengge Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengge Yan more than expected).
Fields of papers citing papers by Mengge Yan
This network shows the impact of papers produced by Mengge Yan. 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 Mengge Yan. The network helps show where Mengge Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengge Yan, 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 | 2018 | 168 | |
| 2 | Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoir Hit paper breakdown → | 2022 | 145 |
| 3 | 2021 | 81 | |
| 4 | 2019 | 76 | |
| 5 | 2022 | 28 | |
| 6 | 2017 | 17 | |
| 7 | 2022 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2026 | 0 |
About Mengge Yan
Mengge Yan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 563 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Advanced Photocatalysis Techniques (2 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (155 citations), Electrical and Electronic Engineering (508 citations), Polymers and Plastics (104 citations), Artificial Intelligence (116 citations) and Cognitive Neuroscience (59 citations). Mengge Yan has collaborated with scholars based in China, France and Germany. Frequent co-authors include Bobo Tian, Chun‐Gang Duan, Junhao Chu, Xiaodong Tang, Hui Peng, Jianlu Wang, Ni Zhong, Lan Liu, Xiangjian Meng and Brahim Dkhil. Their work appears in journals such as Advanced Electronic Materials, Advanced Science, npj Flexible Electronics, Journal of Water Process Engineering and Science China Information Sciences.
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.