He Qian
- Electrical and Electronic Engineering top 0.1%
- Cellular and Molecular Neuroscience top 0.2%
- Artificial Intelligence top 0.5%
- Cognitive Neuroscience top 1%
- Polymers and Plastics top 0.5%
- Co-authors
- Huaqiang WuBin GaoJianshi TangPeng YaoWenqiang ZhangQingtian ZhangJ. Joshua YangNing Deng
- Topics
- Advanced Memory and Neural Computing (205 papers)Ferroelectric and Negative Capacitance Devices (152 papers)Semiconductor materials and devices (84 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- NatureScienceAdvanced Materials
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
He Qian
262 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Electrical and Electronic Engineering 11.7k
- Cellular and Molecular Neuroscience 4.0k
- Artificial Intelligence 2.4k
- Cognitive Neuroscience 1.8k
- Polymers and Plastics 1.7k
Countries citing papers authored by He Qian
This map shows the geographic impact of He Qian'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 He Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Qian more than expected).
Fields of papers citing papers by He Qian
This network shows the impact of papers produced by He Qian. 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 He Qian. The network helps show where He Qian may publish in the future.
Co-authorship network of co-authors of He Qian
This figure shows the co-authorship network connecting the top 25 collaborators of He Qian. A scholar is included among the top collaborators of He Qian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with He Qian. He Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | A systematic resilience assessment framework for multi-state systems based on physics-informed neural networkbreakdown → | 45 |
| 3 | 4 | |
| 4 | Physical reservoir computing with emerging electronicsbreakdown → | 101 |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 29 | |
| 8 | 10 | |
| 9 | 46 | |
| 10 | 33 | |
| 11 | 56 | |
| 12 | 16 | |
| 13 | Dynamic memristor-based reservoir computing for high-efficiency temporal signal processingbreakdown → | 428 |
| 14 | 53 | |
| 15 | 44 | |
| 16 | 44 | |
| 17 | 25 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 232 |
About He Qian
He Qian is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 290 papers that have together received 12.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (205 papers), Ferroelectric and Negative Capacitance Devices (152 papers) and Semiconductor materials and devices (84 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.0k citations), Electrical and Electronic Engineering (11.7k citations) and Polymers and Plastics (1.7k citations). He Qian has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Huaqiang Wu, Bin Gao, Jianshi Tang, Peng Yao, Wenqiang Zhang, Qingtian Zhang, J. Joshua Yang, Ning Deng, Shimeng Yu and Xinyi Li. Their work appears in journals such as Nature, Science and Advanced Materials.
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.