Gang Qu

10.6k total citations · 3 hit papers
337 papers, 7.2k citations indexed

About

Gang Qu is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Gang Qu has authored 337 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Hardware and Architecture, 191 papers in Electrical and Electronic Engineering and 88 papers in Artificial Intelligence. Recurrent topics in Gang Qu's work include Physical Unclonable Functions (PUFs) and Hardware Security (118 papers), Integrated Circuits and Semiconductor Failure Analysis (58 papers) and Parallel Computing and Optimization Techniques (55 papers). Gang Qu is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (118 papers), Integrated Circuits and Semiconductor Failure Analysis (58 papers) and Parallel Computing and Optimization Techniques (55 papers). Gang Qu collaborates with scholars based in United States, China and United Kingdom. Gang Qu's co-authors include Miodrag Potkonjak, Zhaojun Lu, Zhenglin Liu, Farinaz Koushanfar, Jiliang Zhang, Yuan Lin, Qian Wang, Mingze Gao, Yongqiang Lyu and Qingfei Min and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Nature Methods.

In The Last Decade

Gang Qu

309 papers receiving 6.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exposure in wireless Ad-Hoc sensor networks

2001 521 citations Gang Qu, Miodrag Potkonjak et al. profile →
A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy

2018 442 citations Zhaojun Lu, Gang Qu et al. profile →
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks

2020 261 citations Gang Qu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gang Qu United States	41	3.8k	2.9k	2.5k	1.4k	968	337	7.2k
Ahmad‐Reza Sadeghi Germany	56	1.7k 0.4×	2.3k 0.8×	3.6k 1.4×	6.9k 4.8×	3.8k 3.9×	302	10.7k
Radu Mărculescu United States	51	4.3k 1.1×	5.5k 1.9×	6.9k 2.7×	408 0.3×	224 0.2×	263	9.4k
Xue Liu Canada	47	3.0k 0.8×	750 0.3×	4.7k 1.9×	1.7k 1.2×	3.2k 3.4×	406	9.4k
Youngho Park South Korea	48	1.6k 0.4×	279 0.1×	3.6k 1.4×	1.7k 1.2×	3.8k 3.9×	308	6.9k
Bart Preneel Belgium	41	953 0.3×	826 0.3×	1.5k 0.6×	4.0k 2.8×	2.2k 2.3×	431	6.2k
Jianwei Liu China	37	1.2k 0.3×	135 0.0×	1.5k 0.6×	1.6k 1.1×	1.5k 1.6×	510	5.7k
Ting Chen China	33	928 0.2×	211 0.1×	922 0.4×	1.1k 0.8×	2.5k 2.6×	167	4.8k
Lu Liu China	41	2.0k 0.5×	273 0.1×	2.9k 1.2×	1.9k 1.4×	2.3k 2.4×	492	6.6k
Bart Dhoedt Belgium	32	1.6k 0.4×	356 0.1×	2.6k 1.0×	566 0.4×	1.2k 1.3×	378	4.7k
Srđjan Čapkun Switzerland	52	3.5k 0.9×	248 0.1×	6.2k 2.5×	2.7k 1.9×	3.4k 3.6×	155	10.2k

Countries citing papers authored by Gang Qu

Since Specialization

Citations

This map shows the geographic impact of Gang Qu'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 Gang Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Qu more than expected).

Fields of papers citing papers by Gang Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang Qu. 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 Gang Qu. The network helps show where Gang Qu may publish in the future.

Co-authorship network of co-authors of Gang Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Qu. A scholar is included among the top collaborators of Gang Qu 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 Gang Qu. Gang Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Song, Yurong, Gang Qu, Xi Li, & Dandan Huang. (2024). Phase relations in the Gd2O3-Sm2O3-ZrO2 system: Experimental studies and thermodynamic modeling. Journal of Alloys and Compounds. 998. 174965–174965.

2.

Lyu, Yongqiang, et al.. (2023). Lightning: Leveraging DVFS-induced Transient Fault Injection to Attack Deep Learning Accelerator of GPUs. ACM Transactions on Design Automation of Electronic Systems. 29(1). 1–22. 3 indexed citations

3.

Wu, Jin, et al.. (2023). ATC: Approximate Temporal Coding for Efficient Implementations of Spiking Neural Networks. 527–532. 1 indexed citations

4.

Gao, Qiang, Dongsheng Wang, Yongqiang Lyu, et al.. (2023). PMU-Spill: A New Side Channel for Transient Execution Attacks. IEEE Transactions on Circuits and Systems I Regular Papers. 70(12). 5048–5059. 4 indexed citations

5.

Qu, Gang, et al.. (2021). RMLIM: A Runtime Machine Learning Based Identification Model for Approximate Computing on Data Flow Graphs. IEEE Transactions on Sustainable Computing. 7(1). 201–210. 3 indexed citations

6.

Li, Bo, et al.. (2021). Robust Lane Detection and Tracking Based on Machine Vision. ZTE communications. 18(4). 69–77. 6 indexed citations

7.

Qiu, Pengfei, et al.. (2020). VoltJockey: A New Dynamic Voltage Scaling-Based Fault Injection Attack on Intel SGX. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(6). 1130–1143. 15 indexed citations

8.

Lu, Zhaojun, et al.. (2019). A Blockchain-Based Privacy-Preserving Authentication Scheme for VANETs. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27(12). 2792–2801. 176 indexed citations

9.

Wang, Qian & Gang Qu. (2018). A Silicon PUF Based Entropy Pump. IEEE Transactions on Dependable and Secure Computing. 16(3). 402–414. 8 indexed citations

10.

Gao, Mingze & Gang Qu. (2017). Energy efficient runtime approximate computing on data flow graphs. International Conference on Computer Aided Design. 444–449. 5 indexed citations

11.

Qu, Gang, et al.. (2015). RRAM Based Lightweight User Authentication. International Conference on Computer Aided Design. 139–145. 7 indexed citations

12.

Zhou, Qiang, et al.. (2010). Behavioral level dual-v th design for reduced leakage power with thermal awareness. Design, Automation, and Test in Europe. 1261–1266. 4 indexed citations

13.

Qu, Gang. (2008). Algorithm to Solve Interval Minimum Load Cutting Problem for Transmission Planning. Proceedings of the CSEE. 2 indexed citations

14.

Qu, Gang, Yehea Ismail, Vijaykrishnan Narayanan, & Hai Zhou. (2006). Proceedings of the 16th ACM Great Lakes symposium on VLSI.

15.

Lach, John, Gang Qu, & Yehea Ismail. (2005). Proceedings of the 15th ACM Great Lakes symposium on VLSI. 2 indexed citations

16.

Qu, Gang. (2005). Research on Linux Cluster Technology. Jisuanji yingyong yanjiu.

17.

Qu, Gang, et al.. (2003). Approaching the Maximum Energy Saving on Embedded Systems with Multiple Voltages. International Conference on Computer Aided Design. 26–29. 25 indexed citations

18.

Qu, Gang. (2001). What is the limit of energy saving by dynamic voltage scaling. International Conference on Computer Aided Design. 560–563. 70 indexed citations

19.

Qu, Gang, et al.. (1999). System synthesis of synchronous multimedia applications. 128–133. 3 indexed citations

20.

Qu, Gang & Miodrag Potkonjak. (1999). Power minimization using system-level partitioning of applications with quality of service requirements. International Conference on Computer Aided Design. 343–346. 7 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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