Huanrui Yang
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications
- Hardware and Architecture top 10%
- Topics
- Advanced Neural Network Applications (15 papers)Advanced Memory and Neural Computing (8 papers)Adversarial Robustness in Machine Learning (7 papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsComplexityIEEE Consumer Electronics Magazine
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Huanrui Yang
30 papers receiving 589 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 277
- Electrical and Electronic Engineering 252
- Computer Vision and Pattern Recognition 232
- Computer Networks and Communications 54
- Hardware and Architecture 49
Countries citing papers authored by Huanrui Yang
This map shows the geographic impact of Huanrui 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 Huanrui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanrui Yang more than expected).
Fields of papers citing papers by Huanrui Yang
This network shows the impact of papers produced by Huanrui 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 Huanrui Yang. The network helps show where Huanrui Yang may publish in the future.
Co-authorship network of co-authors of Huanrui Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Huanrui Yang. A scholar is included among the top collaborators of Huanrui 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 Huanrui Yang. Huanrui 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 | 1 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 4 | |
| 8 | 34 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 99 | |
| 12 | 1 | |
| 13 | 31 | |
| 14 | 1 | |
| 15 | DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles | 1 |
| 16 | 32 | |
| 17 | 12 | |
| 18 | DPATCH: An Adversarial Patch Attack on Object Detectors. | 27 |
| 19 | 7 | |
| 20 | 89 |
About Huanrui Yang
Huanrui Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 31 papers that have together received 599 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), Advanced Memory and Neural Computing (8 papers) and Adversarial Robustness in Machine Learning (7 papers). The work is most often cited by research in Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (232 citations) and Artificial Intelligence (277 citations). Huanrui Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hai Li, Yiran Chen, Linghao Song, Ang Li, Binghui Wang, Jingwei Sun, Shanghang Zhang, Kurt Keutzer, Xueqing Li and Zhe Yuan. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Complexity and IEEE Consumer Electronics Magazine.
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.