Hangwei Lu
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Industrial and Manufacturing Engineering top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Damon L. WoodardNavid AsadizanjaniMir Tanjidur RahmanMark TehranipoorRonald S. WilsonDomenic ForteQihang ShiHaoting Shen
- Topics
- Integrated Circuits and Semiconductor Failure Analysis (9 papers)Physical Unclonable Functions (PUFs) and Hardware Security (8 papers)Neuroscience and Neural Engineering (3 papers)
- Journals
- IEEE AccessMolecular PharmaceuticsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
- Partner nations
- United StatesChina
In The Last Decade
Hangwei Lu
12 papers receiving 224 citations
Peers
Comparison fields: 5 of 54
- Electrical and Electronic Engineering 158
- Hardware and Architecture 137
- Industrial and Manufacturing Engineering 56
- Artificial Intelligence 33
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Hangwei Lu
This map shows the geographic impact of Hangwei Lu'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 Hangwei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangwei Lu more than expected).
Fields of papers citing papers by Hangwei Lu
This network shows the impact of papers produced by Hangwei Lu. 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 Hangwei Lu. The network helps show where Hangwei Lu may publish in the future.
Co-authorship network of co-authors of Hangwei Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Hangwei Lu. A scholar is included among the top collaborators of Hangwei Lu 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 Hangwei Lu. Hangwei Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 11 | |
| 5 | 55 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 45 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 23 | |
| 12 | 36 | |
| 13 | 1 |
About Hangwei Lu
Hangwei Lu is a scholar working on Hardware and Architecture, Industrial and Manufacturing Engineering and Otorhinolaryngology, having authored 13 papers that have together received 230 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (9 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Hardware and Architecture (137 citations), Industrial and Manufacturing Engineering (56 citations) and Biophysics (22 citations). Hangwei Lu has collaborated with scholars based in United States and China. Frequent co-authors include Damon L. Woodard, Navid Asadizanjani, Mir Tanjidur Rahman, Mark Tehranipoor, Ronald S. Wilson, Domenic Forte, Qihang Shi, Haoting Shen, Fatemeh Ganji and Mark Tehranipoor. Their work appears in journals such as IEEE Access, Molecular Pharmaceutics and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.