Yang Ke
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 7
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- Advanced Memory and Neural Computing 11
- Oncology top 10%
- Cancer-related Molecular Pathways 5
- Polymers and Plastics top 10%
- Transition Metal Oxide Nanomaterials 3
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- Esophageal Cancer Research and Treatment 7
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- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 3
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- Neural Networks and Reservoir Computing 4
Yang Ke
43 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 400
- Cognitive Neuroscience 296
- Electrical and Electronic Engineering 721
- Oncology 294
- Polymers and Plastics 135
Countries citing papers authored by Yang Ke
This map shows the geographic impact of Yang Ke'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 Yang Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Ke more than expected).
Fields of papers citing papers by Yang Ke
This network shows the impact of papers produced by Yang Ke. 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 Yang Ke. The network helps show where Yang Ke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yang Ke, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 19 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 11 | |
| 8 | A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory systembreakdown → | 2022 | 175 |
| 9 | 2022 | 6 | |
| 10 | Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networksbreakdown → | 2020 | 264 |
| 11 | 2016 | 7 | |
| 12 | 2016 | 138 | |
| 13 | 2012 | 19 | |
| 14 | 2012 | 18 | |
| 15 | 2011 | 65 | |
| 16 | 2011 | 24 | |
| 17 | 2010 | 78 | |
| 18 | 2008 | 118 | |
| 19 | 2005 | 8 | |
| 20 | 2004 | 122 |
About Yang Ke
Yang Ke is a scholar working on Cognitive Neuroscience, Oncology, Surgery, Developmental Neuroscience and Otorhinolaryngology, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Esophageal Cancer Research and Treatment (7 papers), Neural dynamics and brain function (7 papers), Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (5 papers), Neural Networks and Reservoir Computing (4 papers), Transition Metal Oxide Nanomaterials (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (400 citations), Cognitive Neuroscience (296 citations), Electrical and Electronic Engineering (721 citations), Oncology (294 citations) and Polymers and Plastics (135 citations). Yang Ke has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Ru Huang, Yuchao Yang, Qingxi Duan, Zhaokun Jing, Yanghao Wang, Si Wu, Xiaolong Zou, Xiaojuan Du, Zhisong He and Pek Jun Tiw. Their work appears in journals such as Nature Communications, Ocean Engineering, Journal of Biological Chemistry, International Journal of Cancer and Biochemical and Biophysical Research Communications.
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.