Huili Chen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Signal Processing top 5%
- Hardware and Architecture top 5%
- Co-authors
- Farinaz KoushanfarBita Darvish RouhaniCheng FuJishen ZhaoHua‐Bei GuoMin BaiXuemei ZhangLianfang Du
- Topics
- Adversarial Robustness in Machine Learning (11 papers)Physical Unclonable Functions (PUFs) and Hardware Security (11 papers)Glycosylation and Glycoproteins Research (7 papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell ResearchMolecular and Cellular BiochemistryJournal of Cancer Research and Clinical Oncology
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Huili Chen
42 papers receiving 864 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 413
- Computer Vision and Pattern Recognition 227
- Molecular Biology 176
- Signal Processing 114
- Hardware and Architecture 108
Countries citing papers authored by Huili Chen
This map shows the geographic impact of Huili Chen'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 Huili Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huili Chen more than expected).
Fields of papers citing papers by Huili Chen
This network shows the impact of papers produced by Huili Chen. 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 Huili Chen. The network helps show where Huili Chen may publish in the future.
Co-authorship network of co-authors of Huili Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Huili Chen. A scholar is included among the top collaborators of Huili Chen 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 Huili Chen. Huili Chen 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 37 | |
| 6 | 8 | |
| 7 | Coda: An End-to-End Neural Program Decompiler | 7 |
| 8 | DeepSigns: An End-to-End Watermarking Framework for Protecting the Ownership of Deep Neural Networks | 12 |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 72 | |
| 12 | 14 | |
| 13 | 32 | |
| 14 | 32 | |
| 15 | 5 | |
| 16 | 17 | |
| 17 | 31 | |
| 18 | 28 | |
| 19 | 14 | |
| 20 | 11 |
About Huili Chen
Huili Chen is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Aging, having authored 44 papers that have together received 885 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Physical Unclonable Functions (PUFs) and Hardware Security (11 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Hardware and Architecture (108 citations), Artificial Intelligence (413 citations) and Computer Vision and Pattern Recognition (227 citations). Huili Chen has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Farinaz Koushanfar, Bita Darvish Rouhani, Cheng Fu, Jishen Zhao, Hua‐Bei Guo, Min Bai, Xuemei Zhang, Lianfang Du, Jing Zhao and Jiying Gu. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Molecular and Cellular Biochemistry and Journal of Cancer Research and Clinical Oncology.
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.