Qihang Shi

623 total citations
25 papers, 359 citations indexed

About

Qihang Shi is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Qihang Shi has authored 25 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hardware and Architecture, 10 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Qihang Shi's 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). Qihang Shi is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (14 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers) and Neuroscience and Neural Engineering (6 papers). Qihang Shi collaborates with scholars based in United States and China. Qihang Shi's 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 and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Qihang Shi

25 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qihang Shi United States 10 265 235 90 64 50 25 359
Xiaoxiao Wang China 12 181 0.7× 255 1.1× 70 0.8× 52 0.8× 4 0.1× 51 372
Vivek Chaturvedi United States 12 258 1.0× 199 0.8× 31 0.3× 25 0.4× 32 0.6× 33 426
Abdullah Nazma Nowroz United States 9 253 1.0× 351 1.5× 31 0.3× 92 1.4× 13 0.3× 12 413
Angelos Antonopoulos United States 13 145 0.5× 236 1.0× 56 0.6× 45 0.7× 9 0.2× 36 330
Venkata Chaitanya Krishna Chekuri United States 9 96 0.4× 219 0.9× 53 0.6× 12 0.2× 10 0.2× 22 287
Daniel Weyer United States 11 215 0.8× 288 1.2× 55 0.6× 87 1.4× 8 0.2× 27 383
Avishek Biswas United States 7 85 0.3× 603 2.6× 97 1.1× 38 0.6× 22 0.4× 9 652
Inna Partin-Vaisband United States 10 92 0.3× 303 1.3× 48 0.5× 8 0.1× 54 1.1× 38 362
Bohan Lin China 9 173 0.7× 255 1.1× 62 0.7× 118 1.8× 4 0.1× 17 409

Countries citing papers authored by Qihang Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Shi, Qihang, et al.. (2024). 2-D Analytical Model of Sinusoidal Eddy Current Field Based on Permeability Distortion. IEEE Sensors Journal. 24(9). 14392–14403. 6 indexed citations
2.
Guo, Jingbo, et al.. (2024). Machine Learning-Based Dipole Modeling of 3-D Magnetic Flux Leakage Caused by Outer-Surface Linear Cracks for Pipeline In-Line Inspection. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 5 indexed citations
3.
Guo, Jingbo, et al.. (2023). A Crack Detection Method for Pipelines Using Wavelet-Based Decision-Level Data Fusion. IEEE Transactions on Instrumentation and Measurement. 72. 1–21. 7 indexed citations
4.
Xu, Jinlan, et al.. (2023). Fast Direct Oxidation of All Alkanes in Soil by Hydrophilic Fe-SOM. Soil and Sediment Contamination An International Journal. 33(6). 693–716. 3 indexed citations
5.
Shi, Qihang, et al.. (2022). Research on simulation of SiCp/Al finite element cutting based on cohesive model. Materials Today Communications. 32. 103848–103848. 21 indexed citations
6.
Xu, Jinlan, et al.. (2022). Fast biodegradation of long-chain alkanes in heavily polluted soil by improving C/H conversion after pre-oxidation. Biochemical Engineering Journal. 186. 108594–108594. 6 indexed citations
7.
Lu, Hangwei, et al.. (2021). Detecting Hardware Trojans Using Combined Self-Testing and Imaging. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(6). 1730–1743. 11 indexed citations
8.
Shi, Qihang, et al.. (2021). Effect of anisotropy and cutting speed on chip morphology of Ti-6Al-4V under high-speed cutting. The International Journal of Advanced Manufacturing Technology. 113(9-10). 2883–2894. 5 indexed citations
9.
Shi, Qihang, et al.. (2019). Contact-to-Silicide Probing Attacks on Integrated Circuits and Countermeasures. 1–6. 2 indexed citations
10.
Shi, Qihang, et al.. (2019). Probing Assessment Framework and Evaluation of Antiprobing Solutions. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27(6). 1239–1252. 14 indexed citations
11.
Shi, Qihang, et al.. (2019). Effect of high strain rates and different orientations on tensile behavior and microcosmic evolution of Ti-6Al-4V sheet. Materials Research Express. 6(9). 98001–98001. 8 indexed citations
12.
13.
Shi, Qihang, Mark Tehranipoor, & Domenic Forte. (2018). Obfuscated Built-In Self-Authentication With Secure and Efficient Wire-Lifting. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(11). 1981–1994. 7 indexed citations
14.
Rahman, Mir Tanjidur, Qihang Shi, Shahin Tajik, et al.. (2018). Physical Inspection & Attacks: New Frontier in Hardware Security. 93–102. 41 indexed citations
15.
Shi, Qihang, et al.. (2018). A Comprehensive Analysis on Vulnerability of Active Shields to Tilted Microprobing Attacks. 98–103. 3 indexed citations
16.
Lu, Hangwei, Qihang Shi, Mir Tanjidur Rahman, et al.. (2018). Trojan Scanner: Detecting Hardware Trojans with Rapid SEM Imaging Combined with Image Processing and Machine Learning. Proceedings - International Symposium for Testing and Failure Analysis. 81009. 256–265. 36 indexed citations
17.
Wang, Huan‐Yu, Domenic Forte, Mark Tehranipoor, & Qihang Shi. (2017). Probing Attacks on Integrated Circuits: Challenges and Research Opportunities. IEEE Design and Test. 34(5). 63–71. 52 indexed citations
18.
Wu, Liang, Xiaoxiao Wang, Xiaoying Zhao, et al.. (2016). AES design improvement towards information safety. 1706–1709. 5 indexed citations
19.
Shi, Qihang, Xiaoxiao Wang, LeRoy Winemberg, & Mark Tehranipoor. (2016). On-chip sensor selection for effective speed-binning. Analog Integrated Circuits and Signal Processing. 88(2). 369–382. 5 indexed citations
20.
Shi, Qihang, Mohammad Tehranipoor, Xiaoxiao Wang, & LeRoy Winemberg. (2014). On-chip sensor selection for effective speed-binning. 1073–1076. 6 indexed citations

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.

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