Guangxu Xun

2.5k citations

47 papers · 1.7k indexed · 1 hit paper · h-index 20

Signal Processing top 2%
- Blind Source Separation Techniques 8
- Time Series Analysis and Forecasting 6
Artificial Intelligence top 1%
- Topic Modeling 17
- Advanced Text Analysis Techniques 13
- Machine Learning in Healthcare 5
Information Systems top 1%
Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 11
Sociology and Political Science top 2%
Molecular Biology
- Biomedical Text Mining and Ontologies 11
Cardiology and Cardiovascular Medicine
- ECG Monitoring and Analysis 6

Co-authors: Aidong ZhangYe YuanKishlay Jha Kebin Jia Fenglong Ma Jing Gao Yaqing Wang Lü Su
Cited by: Signal Processing Artificial Intelligence Information Systems
Journals: Bioinformatics (3 papers)BMC Bioinformatics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
Partner nations: United States China Australia

In The Last Decade

Guangxu Xun

46 papers receiving 1.7k citations

Hit Papers

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Peers

Countries citing papers authored by Guangxu Xun

Since Specialization

Citations

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

Fields of papers citing papers by Guangxu Xun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Guangxu Xun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guangxu Xun Line = papers co-authored together Guangxu Xun links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD ACM Transactions on Knowledge Discovery from Data ·Jianhui Sun,Ying Yang,Guangxu Xun,Aidong Zhang	2022	2
2	Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score IEEE Transactions on Neural Networks and Learning Systems ·Jinduo Liu,Junzhong Ji,Guangxu Xun,Aidong Zhang	2021	21
3	Continual representation learning for evolving biomedical bipartite networks Bioinformatics ·Kishlay Jha,Guangxu Xun,Aidong Zhang	2021	3
4	FAT-RE: A faster dependency-free model for relation extraction Journal of Web Semantics ·Lifang Ding,Zeyang Lei,Guangxu Xun,Yujiu Yang	2020	2
5	HSCJN: A holistic semantic constraint joint network for diverse response generation Computer Speech & Language ·Yiru Wang,Pengda Si,Zeyang Lei,Guangxu Xun,Yujiu Yang	2020	1
6	A hybrid self-attention deep learning framework for multivariate sleep stage classification BMC Bioinformatics ·Ye Yuan,Kebin Jia,Fenglong Ma,Guangxu Xun,Yaqing Wang,Lü Su,Aidong Zhang	2019	33
7	Tracking Community Consistency in Dynamic Networks: An Influence-based Approach IEEE Transactions on Knowledge and Data Engineering ·Aidong Zhang,Xiaowei Jia,Xiaoyi Li,Nan Du,Yuan Zhang,Vishrawas Gopalakrishnan,Guangxu Xun	2019	2
8	A Multi-View Deep Learning Framework for EEG Seizure Detection IEEE Journal of Biomedical and Health Informatics ·Ye Yuan,Guangxu Xun,Kebin Jia,Aidong Zhang	2018	182
9	A multi-context learning approach for EEG epileptic seizure detection BMC Systems Biology ·Ye Yuan,Guangxu Xun,Kebin Jia,Aidong Zhang	2018	35
10	Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks Ye Yuan,Kebin Jia,Fenglong Ma,Guangxu Xun,Yaqing Wang,Lü Su,Aidong Zhang	2018	15
11	Wave2Vec: Deep representation learning for clinical temporal data Neurocomputing ·Ye Yuan,Guangxu Xun,Qiuling Suo,Kebin Jia,Aidong Zhang	2018	41
12	Concepts-Bridges Kishlay Jha,Guangxu Xun,Yaqing Wang,Vishrawas Gopalakrishnan,Aidong Zhang	2018	13
13	A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning Ye Yuan,Guangxu Xun,Fenglong Ma,Qiuling Suo,Hongfei Xue,Kebin Jia,Aidong Zhang	2018	52
14	A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform Ye Yuan,Guangxu Xun,Kebin Jia,Aidong Zhang	2017	78
15	A Correlated Topic Model Using Word Embeddings Guangxu Xun,Yaliang Li,Wayne Xin Zhao,Jing Gao,Aidong Zhang	2017	57
16	Collaborative restricted boltzmann machine for social event recommendation Xiaowei Jia,Xiaoyi Li,Kang Li,Vishrawas Gopalakrishnan,Guangxu Xun,Aidong Zhang	2016	13
17	Detecting epileptic seizures with electroencephalogram via a context-learning model BMC Medical Informatics and Decision Making ·Guangxu Xun,Xiaowei Jia,Aidong Zhang	2016	29
18	Topic Discovery for Short Texts Using Word Embeddings Guangxu Xun,Vishrawas Gopalakrishnan,Fenglong Ma,Yaliang Li,Jing Gao,Aidong Zhang	2016	26
19	Influence based analysis of community consistency in dynamic networks Xiaowei Jia,Xiaoyi Li,Nan Du,Yuan Zhang,Vishrawas Gopalakrishnan,Guangxu Xun,Aidong Zhang	2016	2
20	Latent Community Discovery with Network Regularization for Core Actors Clustering International Conference on Computational Linguistics ·Guangxu Xun,Yujiu Yang,Liangwei Wang,Wenhuang Liu	2012	5

About Guangxu Xun

Guangxu Xun is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Advanced Text Analysis Techniques (13 papers), Biomedical Text Mining and Ontologies (11 papers), EEG and Brain-Computer Interfaces (11 papers), Blind Source Separation Techniques (8 papers), ECG Monitoring and Analysis (6 papers), Time Series Analysis and Forecasting (6 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Signal Processing (414 citations), Artificial Intelligence (872 citations) and Information Systems (528 citations). Guangxu Xun has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Aidong Zhang, Ye Yuan, Kishlay Jha, Kebin Jia, Fenglong Ma, Jing Gao, Yaqing Wang, Lü Su, Zhiwei Jin and Yaliang Li. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and IEEE Transactions on Neural Networks and Learning Systems.

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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