Huazhong Yang
- Electrical and Electronic Engineering top 0.2%
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Hardware and Architecture top 0.2%
- Computer Networks and Communications top 0.5%
- Topics
- Advanced Memory and Neural Computing (173 papers)Ferroelectric and Negative Capacitance Devices (117 papers)Advanced Neural Network Applications (86 papers)
- Cited by
- Hardware and ArchitectureComputer Vision and Pattern RecognitionElectrical and Electronic Engineering
- Journals
- Nature CommunicationsPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Huazhong Yang
574 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Electrical and Electronic Engineering 7.1k
- Computer Vision and Pattern Recognition 2.9k
- Artificial Intelligence 2.1k
- Hardware and Architecture 1.9k
- Computer Networks and Communications 1.5k
Countries citing papers authored by Huazhong Yang
This map shows the geographic impact of Huazhong Yang'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 Huazhong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huazhong Yang more than expected).
Fields of papers citing papers by Huazhong Yang
This network shows the impact of papers produced by Huazhong Yang. 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 Huazhong Yang. The network helps show where Huazhong Yang may publish in the future.
Co-authorship network of co-authors of Huazhong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Huazhong Yang. A scholar is included among the top collaborators of Huazhong Yang 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 Huazhong Yang. Huazhong Yang 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 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 19 | |
| 17 | 29 | |
| 18 | 55 | |
| 19 | 7 | |
| 20 | 1 |
About Huazhong Yang
Huazhong Yang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 619 papers that have together received 10.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (173 papers), Ferroelectric and Negative Capacitance Devices (117 papers) and Advanced Neural Network Applications (86 papers). The work is most often cited by research in Hardware and Architecture (1.9k citations), Computer Vision and Pattern Recognition (2.9k citations) and Electrical and Electronic Engineering (7.1k citations). Huazhong Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yu Wang, Yongpan Liu, Tianqi Tang, Kaiyuan Guo, Song Yao, Lixue Xia, Boxun Li, Jincheng Yu, Yuan Xie and Jiantao Qiu. Their work appears in journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.