Qingfeng Zhuge

3.1k total citations
188 papers, 2.2k citations indexed

About

Qingfeng Zhuge is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Qingfeng Zhuge has authored 188 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Computer Networks and Communications, 139 papers in Hardware and Architecture and 48 papers in Electrical and Electronic Engineering. Recurrent topics in Qingfeng Zhuge's work include Parallel Computing and Optimization Techniques (122 papers), Advanced Data Storage Technologies (81 papers) and Interconnection Networks and Systems (59 papers). Qingfeng Zhuge is often cited by papers focused on Parallel Computing and Optimization Techniques (122 papers), Advanced Data Storage Technologies (81 papers) and Interconnection Networks and Systems (59 papers). Qingfeng Zhuge collaborates with scholars based in China, United States and Hong Kong. Qingfeng Zhuge's co-authors include Edwin H.‐M. Sha, Jingtong Hu, Chun Jason Xue, Zili Shao, Weiwen Jiang, Wei-Che Tseng, Bin Xiao, Xianzhang Chen, Lei Yang and Meikang Qiu and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Computers.

In The Last Decade

Qingfeng Zhuge

175 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingfeng Zhuge China 24 1.3k 1.2k 785 451 346 188 2.2k
Gang Quan United States 26 1.2k 0.9× 1.4k 1.2× 614 0.8× 695 1.5× 182 0.5× 136 2.5k
Glenn Reinman United States 34 1.8k 1.4× 2.0k 1.7× 1.2k 1.5× 240 0.5× 213 0.6× 106 3.0k
Tor Skeie Norway 23 2.9k 2.2× 581 0.5× 1.4k 1.8× 709 1.6× 315 0.9× 86 3.3k
Zili Shao Hong Kong 32 2.5k 1.9× 1.8k 1.5× 811 1.0× 753 1.7× 413 1.2× 277 3.7k
Joseph Zambreno United States 20 681 0.5× 947 0.8× 793 1.0× 189 0.4× 584 1.7× 120 1.9k
Timothy Tsai United States 15 616 0.5× 562 0.5× 974 1.2× 198 0.4× 635 1.8× 39 1.8k
Ayse K. Coskun United States 31 1.5k 1.2× 1.6k 1.4× 1.7k 2.2× 674 1.5× 243 0.7× 180 3.1k
Pedro Reviriego Spain 26 1.3k 1.0× 1.3k 1.1× 2.3k 2.9× 156 0.3× 485 1.4× 331 3.2k
Siddharth Garg United States 27 667 0.5× 1.4k 1.2× 1.5k 1.9× 176 0.4× 1.1k 3.1× 148 2.9k
Qing Yang United States 19 1.5k 1.1× 594 0.5× 305 0.4× 438 1.0× 229 0.7× 108 1.9k

Countries citing papers authored by Qingfeng Zhuge

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Zhuge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfeng Zhuge

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfeng Zhuge. A scholar is included among the top collaborators of Qingfeng Zhuge 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 Qingfeng Zhuge. Qingfeng Zhuge 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.
2.
Zhuge, Qingfeng, et al.. (2025). TwinStar: A Novel Design for Enhanced Test Question Generation Using Dual-LLM Engine. Applied Sciences. 15(6). 3055–3055. 1 indexed citations
3.
Wang, Han, et al.. (2024). Exploring Multiple-Objective Optimization for Efficient and Effective Test Paper Design with Dynamic Programming Guided Genetic Algorithm. Mathematical Biosciences & Engineering. 21(3). 3668–3694. 1 indexed citations
4.
5.
Zhuge, Qingfeng, et al.. (2023). Knowledge Tracing Model and Student Profile Based on Clustering-Neural-Network. Applied Sciences. 13(9). 5220–5220. 1 indexed citations
6.
Zhuge, Qingfeng, et al.. (2023). Optimizing Efficiency of Machine Learning Based Hard Disk Failure Prediction by Two-Layer Classification-Based Feature Selection. Applied Sciences. 13(13). 7544–7544. 1 indexed citations
7.
Xu, Rui, et al.. (2022). Optimizing Data Placement for Hybrid SRAM+Racetrack Memory SPM in Embedded Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(3). 847–859. 3 indexed citations
8.
Sha, Edwin H.‐M., et al.. (2021). Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization. 1–9. 34 indexed citations
9.
Chen, Xianzhang, et al.. (2020). Contour: A Process Variation Aware Wear-Leveling Mechanism for Inodes of Persistent Memory File Systems. IEEE Transactions on Computers. 70(7). 1034–1045. 3 indexed citations
10.
Jiang, Weiwen, Lei Yang, Edwin H.‐M. Sha, et al.. (2020). Hardware/Software Co-Exploration of Neural Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 4805–4815. 98 indexed citations
11.
Jiang, Weiwen, Edwin H.‐M. Sha, Qingfeng Zhuge, et al.. (2018). Heterogeneous FPGA-Based Cost-Optimal Design for Timing-Constrained CNNs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(11). 2542–2554. 27 indexed citations
12.
Jiang, Weiwen, et al.. (2018). On the Design of Minimal-Cost Pipeline Systems Satisfying Hard/Soft Real-Time Constraints. IEEE Transactions on Emerging Topics in Computing. 9(1). 24–34. 8 indexed citations
13.
Jiang, Weiwen, Edwin H.‐M. Sha, Qingfeng Zhuge, et al.. (2018). On the Design of Time-Constrained and Buffer-Optimal Self-Timed Pipelines. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(8). 1515–1528. 3 indexed citations
14.
Sha, Edwin H.‐M., et al.. (2017). Towards the Design of Efficient and Consistent Index Structure with Minimal Write Activities for Non-Volatile Memory. IEEE Transactions on Computers. 67(3). 432–448. 4 indexed citations
15.
Li, Qiao, Liang Shi, Chun Jason Xue, et al.. (2016). Access characteristic guided read and write cost regulation for performance improvement on flash memory. File and Storage Technologies. 125–132. 49 indexed citations
16.
Dai, Penglin, et al.. (2016). Write reconstruction for write throughput improvement on MLC PCM based main memory. Journal of Systems Architecture. 71. 62–72. 3 indexed citations
17.
Zhong, Kan, Duo Liu, Zhu Xiao, et al.. (2015). nCode: limiting harmful writes to emerging mobile NVRAM through code swapping. Design, Automation, and Test in Europe. 1305–1310. 4 indexed citations
18.
Liu, Meilin, et al.. (2005). Optimal assignment with guaranteed confidence probability for trees on heterogeneous DSP systems. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 295–300. 1 indexed citations
19.
Xiao, Bin, Qingfeng Zhuge, & Edwin H.‐M. Sha. (2004). Efficient Algorithms for Dynamic Update of Shortest Path Tree in Networking.. 11. 60–75. 5 indexed citations
20.
Xiao, Bin, Qingfeng Zhuge, Zili Shao, & Edwin H.‐M. Sha. (2003). Design and analysis of improved shortest path tree update for network routing. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 82–87.

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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