Peng Gu

1.7k total citations
49 papers, 1.2k citations indexed

About

Peng Gu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Peng Gu has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 16 papers in Computer Networks and Communications and 16 papers in Hardware and Architecture. Recurrent topics in Peng Gu's work include Advanced Memory and Neural Computing (14 papers), Advanced Data Storage Technologies (10 papers) and Parallel Computing and Optimization Techniques (10 papers). Peng Gu is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Advanced Data Storage Technologies (10 papers) and Parallel Computing and Optimization Techniques (10 papers). Peng Gu collaborates with scholars based in United States, China and South Korea. Peng Gu's co-authors include Yuan Xie, Boxun Li, Huazhong Yang, Yu Wang, Lixue Xia, Tianqi Tang, Shimeng Yu, Yu Cao, Shuangchen Li and Wenqin Huangfu and has published in prestigious journals such as Journal of Applied Physics, International Journal of Production Research and IEEE Transactions on Computers.

In The Last Decade

Peng Gu

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Gu United States 18 891 323 299 292 194 49 1.2k
Saransh Gupta United States 18 994 1.1× 265 0.8× 317 1.1× 200 0.7× 187 1.0× 52 1.3k
Ping Chi United States 12 1.3k 1.5× 357 1.1× 366 1.2× 293 1.0× 152 0.8× 23 1.6k
Anirban Nag United States 6 1.4k 1.6× 261 0.8× 464 1.6× 161 0.6× 187 1.0× 6 1.7k
Linghao Song United States 17 1.3k 1.4× 327 1.0× 569 1.9× 303 1.0× 136 0.7× 40 1.7k
Jiliang Zhang China 19 667 0.7× 630 2.0× 490 1.6× 209 0.7× 230 1.2× 85 1.3k
Ren-Shuo Liu Taiwan 23 2.0k 2.3× 415 1.3× 392 1.3× 404 1.4× 292 1.5× 73 2.4k
Indranil Sengupta India 20 631 0.7× 230 0.7× 483 1.6× 271 0.9× 166 0.9× 140 1.2k
Dimin Niu United States 25 1.4k 1.6× 809 2.5× 323 1.1× 755 2.6× 165 0.9× 67 2.0k
Izzat El Hajj United States 16 580 0.7× 440 1.4× 198 0.7× 296 1.0× 48 0.2× 59 1000
Priyanka Raina United States 14 1.3k 1.5× 400 1.2× 401 1.3× 201 0.7× 199 1.0× 64 1.8k

Countries citing papers authored by Peng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Gu. A scholar is included among the top collaborators of Peng Gu 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 Peng Gu. Peng Gu 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.
Yu, Jinling, Lei Chen, Peng Gu, et al.. (2021). Giant circular photogalvanic effect of the surface states in an ultra-thin Bi2Se3 nanoplate grown by chemical vapor deposition. Journal of Applied Physics. 129(10). 5 indexed citations
2.
Xie, Xinfeng, Peng Gu, Jiayi Huang, Yufei Ding, & Yuan Xie. (2021). MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures. IEEE Computer Architecture Letters. 21(1). 1–4. 6 indexed citations
3.
Yang, Zhiqiang, Chunmei Li, Jinyong Wang, et al.. (2021). Photoelectronic synaptic performance of SiOy/a-Si1-xRux bilayer based memristors. 103. 102–102.
4.
Xie, Xinfeng, Xing Hu, Peng Gu, et al.. (2020). NNBench-X. ACM Transactions on Architecture and Code Optimization. 17(4). 1–25. 2 indexed citations
5.
Liu, Jinsong, He Zhu, Yang Sun, et al.. (2020). Research on Intelligent Recognition Technology of Automatic Charging and Pressing for Fuze Initiating Explosive Device. 6. 445–449. 1 indexed citations
6.
Gu, Peng, Xinfeng Xie, Yufei Ding, et al.. (2020). iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 804–817. 50 indexed citations
7.
Huangfu, Wenqin, Krishna T. Malladi, Shuangchen Li, Peng Gu, & Yuan Xie. (2020). NEST. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–9. 7 indexed citations
8.
Gu, Peng, et al.. (2020). NMTSim: Transaction-Command Based Simulator for New Memory Technology Devices. IEEE Computer Architecture Letters. 19(1). 76–79. 1 indexed citations
9.
Li, Lin, et al.. (2019). A Group Recommendation Approach Based on Neural Network Collaborative Filtering. 54. 148–154. 3 indexed citations
10.
Gu, Peng, et al.. (2018). Cost-efficient 3D Integration to Hinder Reverse Engineering During and After Manufacturing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 74–79. 4 indexed citations
11.
Xia, Lixue, Boxun Li, Tianqi Tang, et al.. (2017). MNSIM: Simulation Platform for Memristor-based Neuromorphic Computing System. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 1–1. 130 indexed citations
12.
Gu, Peng, et al.. (2017). Modeling technology of virtual assembly system based on UML. 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA). 28. 722–726. 1 indexed citations
13.
Li, Shuangchen, Liu Liu, Peng Gu, Cong Xu, & Yuan Xie. (2016). NVSim-CAM. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–7. 28 indexed citations
14.
Gu, Peng, et al.. (2016). Cost and Thermal Analysis of High-Performance 2.5D and 3D Integrated Circuit Design Space. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 17 indexed citations
15.
Li, Boxun, Peng Gu, Yu Wang, & Huazhong Yang. (2015). Exploring the Precision Limitation for RRAM-Based Analog Approximate Computing. IEEE Design and Test. 33(1). 51–58. 16 indexed citations
16.
Wang, Yu, Tianqi Tang, Lixue Xia, et al.. (2015). Energy Efficient RRAM Spiking Neural Network for Real Time Classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 189–194. 43 indexed citations
17.
Gu, Peng, et al.. (2013). Study of the Integrated Evaluation Index System of the Design of Energy-Saving Building and the Optimization of these Designs Based on FAHP-Entropy Weight. Applied Mechanics and Materials. 357-360. 2859–2864. 3 indexed citations
18.
Song, Yingxiong, et al.. (2010). Performance Optimization of Network Behavior Identification System Based on PPC. Jisuanji gongcheng. 36(10). 267–269. 1 indexed citations
19.
Gu, Peng, et al.. (2009). A Novel Weighted-Graph-Based Grouping Algorithm for Metadata Prefetching. IEEE Transactions on Computers. 59(1). 1–15. 13 indexed citations
20.
Gu, Peng, et al.. (2008). The research and design for a high availability object storage system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7125. 71251M–71251M.

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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