Guangyu Jia

637 total citations
18 papers, 468 citations indexed

About

Guangyu Jia is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Guangyu Jia has authored 18 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Guangyu Jia's work include EEG and Brain-Computer Interfaces (3 papers), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Guangyu Jia is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Guangyu Jia collaborates with scholars based in United Kingdom, China and United States. Guangyu Jia's co-authors include Hak‐Keung Lam, Yujia Xu, Rong Wang, Bo Xiao, Zhaohui Yang, Min Meng, Kaspar Althoefer, Wenjun Xu, Jing Guo and Wuzhou Hong and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Pattern Recognition and Neurocomputing.

In The Last Decade

Guangyu Jia

16 papers receiving 454 citations

Peers

Countries citing papers authored by Guangyu Jia

Since Specialization

Citations

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

Fields of papers citing papers by Guangyu Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyu Jia

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Schur Complement Optimized Iterative EKF for Visual–Inertial Odometry in Autonomous Vehicles 2025 ·Machines ·(unknown), Cong Li, Hui Jing, (unknown), Ming Li, Xiang Wang, Guangyu Jia	0
2	A Framework of Robust Congestion Mitigation with Traffic Estimation, Split Ratio Optimisation and Path Planning 2023 ·Guangyu Jia, Bing Kong, (unknown), Zhang Yon, (unknown), Cong Li, (unknown), Jie Zhang	1
3	Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation 2022 ·Computers in Biology and Medicine ·Yujia Xu, Hak‐Keung Lam, Guangyu Jia, Jian Jiang, (unknown), (unknown)	13
4	MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images 2021 ·Neurocomputing ·Yujia Xu, Hak‐Keung Lam, Guangyu Jia	71
5	Engineering Highly Dispersed Pt Species by Defects for Boosting the Reactive Desulfurization Performance 2021 ·Industrial & Engineering Chemistry Research ·Jing He, Guangyu Jia, Peiwen Wu, Yingcheng Wu, Hongping Li, Linjie Lu, Zhendong Yu, Shuaishuai Zhou, Wenshuai Zhu, (unknown), (unknown)	14
6	Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method 2021 ·Computers in Biology and Medicine ·Guangyu Jia, Hak‐Keung Lam, Yujia Xu	91
7	A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques 2021 ·Neurocomputing ·(unknown), Hak‐Keung Lam, Guangyu Jia, Shraddha Gulati, (unknown), (unknown), Yujia Xu, Hongbin Liu, Bu Hayee	9
8	A Joint Communication and Federated Learning Framework for Internet of Things Networks 2021 ·2021 IEEE Global Communications Conference (GLOBECOM) ·Zhaohui Yang, Guangyu Jia, Mingzhe Chen, Hak‐Keung Lam, Kai‐Kit Wong, Shuguang Cui, H. Vincent Poor	5
9	Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types 2021 ·Pattern Recognition ·Guangyu Jia, Hak‐Keung Lam, Kaspar Althoefer	28
10	Channel Assignment in Uplink Wireless Communication Using Machine Learning Approach 2020 ·IEEE Communications Letters ·Guangyu Jia, Zhaohui Yang, Hak‐Keung Lam, Jianfeng Shi, Mohammad Shikh‐Bahaei	14
11	Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach 2020 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Guangyu Jia, Hak‐Keung Lam, (unknown), Zhaohui Yang, Yujia Xu, Bo Xiao	51
12	Further Results for Pinning Stabilization of Boolean Networks 2020 ·IEEE Transactions on Control of Network Systems ·Guangyu Jia, Min Meng, James Lam, Jun‐e Feng	22
13	Machine Learning for Predictive Deployment of UAVs with Rate Splitting Multiple Access 2020 ·Research Portal (King's College London) ·(unknown), Ye Hu, (unknown), Guangyu Jia, Jiangtian Nie, Mohammad Shikh‐Bahaei	8
14	Depth Estimation of Hard Inclusions in Soft Tissue by Autonomous Robotic Palpation Using Deep Recurrent Neural Network 2020 ·IEEE Transactions on Automation Science and Engineering ·Bo Xiao, Wenjun Xu, Jing Guo, Hak‐Keung Lam, Guangyu Jia, Wuzhou Hong, Hongliang Ren	50
15	Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach 2020 ·Research Portal (King's College London) ·(unknown), Ming Chen, Zhaohui Yang, Mingzhe Chen, Guangyu Jia	7
16	Classification of electromyographic hand gesture signals using machine learning techniques 2020 ·Neurocomputing ·Guangyu Jia, Hak‐Keung Lam, (unknown), Rong Wang	66
17	Effects and mechanisms of hepatitis B virus X protein on invasion and migration of hepatocellular carcinoma cells 2017 ·Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi ·(unknown), (unknown), Xinyu Zhou, Guangyu Jia, Bin Zhang, Quan Wen	0
18	Function perturbation of mix-valued logical networks with impacts on limit sets 2016 ·Neurocomputing ·Guangyu Jia, Min Meng, Jun‐e Feng	18

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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