Hongyu An
- Electrical and Electronic Engineering
- Fluid Flow and Transfer Processes top 5%
- Biomedical Engineering
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Topics
- Advanced Memory and Neural Computing (22 papers)Ferroelectric and Negative Capacitance Devices (10 papers)Neural dynamics and brain function (8 papers)
- Cited by
- Fluid Flow and Transfer ProcessesCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Energy Conversion and ManagementInternational Journal of Coal GeologyIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Hongyu An
32 papers receiving 310 citations
Peers
Comparison fields: 5 of 58
- Electrical and Electronic Engineering 173
- Fluid Flow and Transfer Processes 72
- Biomedical Engineering 72
- Cellular and Molecular Neuroscience 56
- Cognitive Neuroscience 55
Countries citing papers authored by Hongyu An
This map shows the geographic impact of Hongyu An'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 Hongyu An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyu An more than expected).
Fields of papers citing papers by Hongyu An
This network shows the impact of papers produced by Hongyu An. 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 Hongyu An. The network helps show where Hongyu An may publish in the future.
Co-authorship network of co-authors of Hongyu An
This figure shows the co-authorship network connecting the top 25 collaborators of Hongyu An. A scholar is included among the top collaborators of Hongyu An 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 Hongyu An. Hongyu An 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 | 3 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | 25 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 35 | |
| 19 | Power consumption testing and optimization for mobile router based on data aggregation and compression | 1 |
| 20 | Screening of CO2 adsorbing materials for zero emission power generation systems | 3 |
About Hongyu An
Hongyu An is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 34 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (72 citations), Cellular and Molecular Neuroscience (56 citations) and Electrical and Electronic Engineering (173 citations). Hongyu An has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yang Yi, Jun Li, K.J. Chua, Amin Maghbouli, Wenming Yang, M. Amimul Ehsan, Zhen Zhou, Zhen Zhou, M. Orłowski and P. Massarotto. Their work appears in journals such as Energy Conversion and Management, International Journal of Coal Geology and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.