Yingjie Lao
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Keshab K. ParhiChris H. KimManohar AyinalaAntian WangPing LiPeng YangWeijie ZhaoJudson D. Ryckman
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (29 papers)Integrated Circuits and Semiconductor Failure Analysis (22 papers)Adversarial Robustness in Machine Learning (19 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yingjie Lao
69 papers receiving 850 citations
Peers
Comparison fields: 5 of 51
- Hardware and Architecture 449
- Electrical and Electronic Engineering 411
- Artificial Intelligence 363
- Computer Vision and Pattern Recognition 184
- Cellular and Molecular Neuroscience 183
Countries citing papers authored by Yingjie Lao
This map shows the geographic impact of Yingjie Lao'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 Yingjie Lao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjie Lao more than expected).
Fields of papers citing papers by Yingjie Lao
This network shows the impact of papers produced by Yingjie Lao. 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 Yingjie Lao. The network helps show where Yingjie Lao may publish in the future.
Co-authorship network of co-authors of Yingjie Lao
This figure shows the co-authorship network connecting the top 25 collaborators of Yingjie Lao. A scholar is included among the top collaborators of Yingjie Lao 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 Yingjie Lao. Yingjie Lao 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 20 | |
| 15 | 20 | |
| 16 | Backdoor Attack with Imperceptible Input and Latent Modification | 30 |
| 17 | 30 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 20 |
About Yingjie Lao
Yingjie Lao is a scholar working on Hardware and Architecture, Artificial Intelligence and Signal Processing, having authored 78 papers that have together received 868 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (29 papers), Integrated Circuits and Semiconductor Failure Analysis (22 papers) and Adversarial Robustness in Machine Learning (19 papers). The work is most often cited by research in Hardware and Architecture (449 citations), Signal Processing (169 citations) and Artificial Intelligence (363 citations). Yingjie Lao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Keshab K. Parhi, Chris H. Kim, Manohar Ayinala, Antian Wang, Ping Li, Peng Yang, Weijie Zhao, Judson D. Ryckman, Ping Li and Bongjin Kim. Their work appears in journals such as Scientific Reports, Sensors and IEEE Transactions on Computers.
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.