Ce Guo

522 total citations
53 papers, 332 citations indexed

About

Ce Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Ce Guo has authored 53 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Ce Guo's work include Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Advanced Memory and Neural Computing (4 papers). Ce Guo is often cited by papers focused on Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Advanced Memory and Neural Computing (4 papers). Ce Guo collaborates with scholars based in United Kingdom, China and United States. Ce Guo's co-authors include Wayne Luk, Minglu Zhang, Hongxiang Fan, Yan Zhang, Haohuan Fu, Yong Hu, Shuanglong Liu, Cheng Luo, Shifeng Chen and Mei Liu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ce Guo

41 papers receiving 322 citations

Peers

Ce Guo
Guoping Wang United States
Chan‐Jin Chung United States
Oliver Williams United Kingdom
Anthony Ndirango United States
Haiyan Wu China
Ce Guo
Citations per year, relative to Ce Guo Ce Guo (= 1×) peers Mohammadamin Barekatain

Countries citing papers authored by Ce Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ce Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ce Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ce Guo. A scholar is included among the top collaborators of Ce 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 Ce Guo. Ce Guo 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
2.
Guo, Ce, et al.. (2025). ProtoHedge: Interpretable Hedging with Market Prototypes. 202–210.
3.
Que, Zhiqiang, et al.. (2025). Trustworthy Deep Learning Acceleration with Customizable Design Flow Automation. 1–13. 1 indexed citations
6.
Guo, Ce, et al.. (2025). Optimizing LLM inference for FPGAs. 1–4. 1 indexed citations
7.
Vytelingum, Perukrishnen, et al.. (2024). High-Frequency Financial Market Simulation and Flash Crash Scenarios Analysis: An Agent-Based Modelling Approach. Journal of Artificial Societies and Social Simulation. 27(2). 3 indexed citations
9.
Que, Zhiqiang, Minghao Zhang, Hongxiang Fan, et al.. (2024). Low Latency Variational Autoencoder on FPGAs. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 14(2). 323–333. 2 indexed citations
10.
Guo, Ce, et al.. (2024). An approach to sociotechnical transparency of social media algorithms using agent-based modelling. AI and Ethics. 5(2). 1827–1845. 2 indexed citations
11.
Lu, Yuncheng, et al.. (2024). PCQ: Parallel Compact Quantum Circuit Simulation. 24–31. 1 indexed citations
12.
Guo, Ce & Xiaohong Wang. (2023). SDenseNet-An Improved DenseNet Model for Spiking Neural Networks. Journal of Physics Conference Series. 2575(1). 12004–12004.
13.
Guo, Ce. (2023). Technology Industry Stock Price Prediction Based on OLS, Random Forest, and Extreme Gradient Boosting. Advances in Economics Management and Political Sciences. 22(1). 1–8.
14.
Coutinho, José G. F., Ce Guo, Tim Todman, & Wayne Luk. (2023). Exploring Machine Learning Adoption in Customisable Processor Design. 1–4.
15.
Zhang, Yan, Manhong Li, Minglu Zhang, Ce Guo, & Zhihong Jiang. (2023). Fast inspection and accurate recognition of target objects for astronaut robots through deep learning. Measurement. 213. 112687–112687. 4 indexed citations
16.
Luk, Wayne, et al.. (2022). Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social Media. Journal of Data and Information Quality. 15(1). 1–24. 9 indexed citations
17.
18.
Guo, Ce, et al.. (2021). Improved YOLOv4-tiny network for real-time electronic component detection. Scientific Reports. 11(1). 22744–22744. 44 indexed citations
19.
Guo, Ce & Wayne Luk. (2014). Accelerating parameter estimation for multivariate self-exciting point processes. 181–184. 1 indexed citations
20.
Guo, Ce. (2005). Current Status and Prospect of Research on Bio-robots. Robot. 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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