Zichao Guo

2.1k total citations · 1 hit paper
12 papers, 478 citations indexed

About

Zichao Guo is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Zichao Guo has authored 12 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Hardware and Architecture. Recurrent topics in Zichao Guo's work include Advanced Neural Network Applications (4 papers), Seismic Waves and Analysis (3 papers) and Seismic Imaging and Inversion Techniques (3 papers). Zichao Guo is often cited by papers focused on Advanced Neural Network Applications (4 papers), Seismic Waves and Analysis (3 papers) and Seismic Imaging and Inversion Techniques (3 papers). Zichao Guo collaborates with scholars based in China, United States and Hong Kong. Zichao Guo's co-authors include Xiangyu Zhang, Jian Sun, Kwang‐Ting Cheng, Xin Yang, Haoyuan Mu, Zechun Liu, Jin Chen, Xijun Wang, Qing Liu and Jianyang Zhou and has published in prestigious journals such as Computer Physics Communications, Computers & Geosciences and Journal of Computational Acoustics.

In The Last Decade

Zichao Guo

11 papers receiving 473 citations

Hit Papers

MetaPruning: Meta Learning for Automatic Neural Network C... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zichao Guo China 6 328 238 52 36 30 12 478
Shibin Parameswaran United States 8 219 0.7× 155 0.7× 19 0.4× 47 1.3× 6 0.2× 25 336
Sheng Xu China 8 194 0.6× 70 0.3× 30 0.6× 43 1.2× 8 0.3× 30 304
J.G.M. Schavemaker Netherlands 8 112 0.3× 60 0.3× 16 0.3× 53 1.5× 37 1.2× 24 291
Vardan Papyan United States 8 365 1.1× 160 0.7× 29 0.6× 143 4.0× 18 0.6× 12 600
Yongping Zhai China 9 323 1.0× 163 0.7× 49 0.9× 93 2.6× 2 0.1× 23 533
Dillon Sharlet United States 5 575 1.8× 66 0.3× 54 1.0× 211 5.9× 7 0.2× 8 723
Haoying Fu United States 8 202 0.6× 69 0.3× 40 0.8× 46 1.3× 6 0.2× 17 363
Muhammad Asif Khan Pakistan 13 231 0.7× 133 0.6× 59 1.1× 29 0.8× 2 0.1× 39 436
Joseph Shtok Israel 8 394 1.2× 295 1.2× 33 0.6× 64 1.8× 3 0.1× 13 598
N. Magotra United States 9 164 0.5× 202 0.8× 54 1.0× 16 0.4× 157 5.2× 63 479

Countries citing papers authored by Zichao Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zichao Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zichao Guo

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

All Works

12 of 12 papers shown
1.
Zhang, Yunrui, et al.. (2022). Design of 64-Bit High-Performance Embedded Processor Supporting RISC-V B-Extension. 28–32. 4 indexed citations
2.
Lei, Zhen, et al.. (2022). A Floating-Point Unit Architecture Based on SweRV EH1 Core. 1–5. 5 indexed citations
3.
Chen, Jin, Xijun Wang, Zichao Guo, Xiangyu Zhang, & Jian Sun. (2021). Dynamic Region-Aware Convolution. 8060–8069. 101 indexed citations
4.
Zhang, Yunrui, et al.. (2021). AnnikaCore: RISC-V Architecture Processor Design and Implementation for IoT. 200–203. 3 indexed citations
5.
Li, Zhirui, Jian Li, Yunrui Zhang, Jianyang Zhou, & Zichao Guo. (2021). Porting RT-Thread to AnnikaSoC. 177–181.
6.
Liao, Xinhui, et al.. (2021). VLSI Architecture Design for Adder Convolution Neural Network Accelerator. 5–9. 5 indexed citations
7.
Liu, Zechun, Haoyuan Mu, Xiangyu Zhang, et al.. (2019). MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3295–3304. 318 indexed citations breakdown →
8.
Zhuang, Mingwei, Qiwei Zhan, Jianyang Zhou, et al.. (2019). A simple implementation of PML for second-order elastic wave equations. Computer Physics Communications. 246. 106867–106867. 18 indexed citations
9.
Guo, Zichao, et al.. (2018). GPU acceleration of time gating based reverse time migration using the pseudospectral time-domain algorithm. Computers & Geosciences. 117. 57–62. 10 indexed citations
10.
Zhuang, Mingwei, et al.. (2018). Reverse Time Migration of Elastic Waves Using the Pseudospectral Time-Domain Method. 26(1). 1750033–1750033. 3 indexed citations
12.
Guo, Zichao, et al.. (2016). Reverse Time Migration Using the Pseudospectral Time-Domain Algorithm. Journal of Computational Acoustics. 24(2). 1650005–1650005. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026