Qihang Shi
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Mechanical Engineering
- Co-authors
- Domenic ForteMark TehranipoorNavid AsadizanjaniDamon L. WoodardHaoting ShenHuan‐Yu WangUjjwal GuinMir Tanjidur Rahman
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (14 papers)Integrated Circuits and Semiconductor Failure Analysis (9 papers)Neuroscience and Neural Engineering (6 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- The International Journal of Advanced Manufacturing TechnologyIEEE Transactions on Instrumentation and MeasurementIEEE Sensors Journal
- Partner nations
- United StatesChina
In The Last Decade
Qihang Shi
25 papers receiving 353 citations
Peers
Comparison fields: 5 of 48
- Hardware and Architecture 265
- Electrical and Electronic Engineering 235
- Artificial Intelligence 90
- Cellular and Molecular Neuroscience 64
- Mechanical Engineering 50
Countries citing papers authored by Qihang Shi
This map shows the geographic impact of Qihang Shi'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 Qihang Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qihang Shi more than expected).
Fields of papers citing papers by Qihang Shi
This network shows the impact of papers produced by Qihang Shi. 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 Qihang Shi. The network helps show where Qihang Shi may publish in the future.
Co-authorship network of co-authors of Qihang Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Qihang Shi. A scholar is included among the top collaborators of Qihang Shi 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 Qihang Shi. Qihang Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 14 | |
| 12 | 23 | |
| 13 | 24 | |
| 14 | 7 | |
| 15 | 41 | |
| 16 | 36 | |
| 17 | 3 | |
| 18 | 52 | |
| 19 | 5 | |
| 20 | 6 |
About Qihang Shi
Qihang Shi is a scholar working on Hardware and Architecture, Signal Processing and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 359 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (14 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Hardware and Architecture (265 citations), Electrical and Electronic Engineering (235 citations) and Cellular and Molecular Neuroscience (64 citations). Qihang Shi has collaborated with scholars based in United States and China. Frequent co-authors include Domenic Forte, Mark Tehranipoor, Mark Tehranipoor, Navid Asadizanjani, Damon L. Woodard, Haoting Shen, Huan‐Yu Wang, Ujjwal Guin, Mir Tanjidur Rahman and Hangwei Lu. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.
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.