Ru Huang
- Electrical and Electronic Engineering top 5%
- Materials Chemistry
- Computer Networks and Communications top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Runsheng WangYangyuan WangQianqian HuangXiaoli ChuJan G. KorvinkHuailin LiaoLe YeJianhua He
- Topics
- Advanced Memory and Neural Computing (76 papers)Semiconductor materials and devices (71 papers)Ferroelectric and Negative Capacitance Devices (68 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ru Huang
195 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Electrical and Electronic Engineering 1.4k
- Materials Chemistry 250
- Computer Networks and Communications 190
- Biomedical Engineering 169
- Artificial Intelligence 158
Countries citing papers authored by Ru Huang
This map shows the geographic impact of Ru Huang'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 Ru Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ru Huang more than expected).
Fields of papers citing papers by Ru Huang
This network shows the impact of papers produced by Ru Huang. 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 Ru Huang. The network helps show where Ru Huang may publish in the future.
Co-authorship network of co-authors of Ru Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ru Huang. A scholar is included among the top collaborators of Ru Huang 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 Ru Huang. Ru Huang 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 | 7 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | Energy-efficient Mechanism Based on ACO for the Coverage Problem in Sensor Networks | 4 |
About Ru Huang
Ru Huang is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computational Mathematics, having authored 215 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (76 papers), Semiconductor materials and devices (71 papers) and Ferroelectric and Negative Capacitance Devices (68 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.4k citations), Computational Mathematics (11 citations) and Hardware and Architecture (84 citations). Ru Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Runsheng Wang, Yangyuan Wang, Qianqian Huang, Xiaoli Chu, Jan G. Korvink, Huailin Liao, Le Ye, Jianhua He, Kechao Tang and Zongwei Wang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.