Xia-an Bi

1.1k citations

51 papers · 757 · h-index 17

Impact in

Neurology top 5%
- Brain Tumor Detection and Classification
Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Autism Spectrum Disorder Research
- EEG and Brain-Computer Interfaces

Papers in

Cognitive Neuroscience 18
- Functional Brain Connectivity Studies 15
- EEG and Brain-Computer Interfaces 6
- Autism Spectrum Disorder Research 5
Molecular Biology 13
- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 5

Co-authors: Qi Sun (11 shared papers)Qian Xu (6 shared papers)Yang Wang (2 shared papers)Yingchao Liu (6 shared papers)Yang Wang (1 shared paper)Yiming Xie (4 shared papers)Lou Li (5 shared papers)Sheng Luo (4 shared papers)
Journals: IEEE Transactions on Neural Networks and Learning Systems (5 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)Briefings in Bioinformatics (3 papers)PLoS ONE (2 papers)Frontiers in Genetics (2 papers)
Partner nations: China United States Canada

In The Last Decade

Xia-an Bi

47 papers receiving 745 citations

Peers

Replace Saman Sarraf with:

Saman Sarraf Canada

Xiaoke Hao China

Elaheh Moradi Finland

Alexandre Savio Spain

Alexandre Routier France

Nguyen Thanh Duc South Korea

Jorge Samper‐Gonzàlez France

Siqi Liu China

Diego Castillo-Barnés Spain

Xiaoli Liu China

Xia-an Bi relative to Saman Sarraf Canada Saman Sarraf's profile →

Citations per field

00.5×1.5×2.2×

Saman Sarraf · 1×

×0.9 142/152

NEURO

×1.0 339/341

CN

×1.5 44/30

HIM

×1.3 123/92

PMH

×1.3 8/6

HI

Citations per year

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Countries citing papers authored by Xia-an Bi

Since Specialization

Citations

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

Fields of papers citing papers by Xia-an Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xia-an Bi. 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 Xia-an Bi. The network helps show where Xia-an Bi may publish in the future.

Co-authors

The 25 scholars most cited alongside Xia-an Bi, 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 Xia-an Bi Line = papers co-authored together Xia-an Bi links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster Frontiers in Genetics ·Xia-an Bi, Yang Wang, Shu Qing, Qi Sun, Qian Xu	2018	109
2	Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest IEEE Journal of Biomedical and Health Informatics ·Xia-an Bi, Xi Hu, Hao Wu, Yang Wang	2020	106
3	Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease PLoS ONE ·Xia-an Bi, Shu Qing, Qi Sun, Qian Xu	2018	52
4	Abnormal Functional Connectivity of Resting State Network Detection Based on Linear ICA Analysis in Autism Spectrum Disorder Frontiers in Physiology ·Xia-an Bi, Junxia Zhao, Qian Xu, Qi Sun, Zhigang Wang	2018	41
5	A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data Medical Image Analysis ·Xia-an Bi, Xi Hu, Yiming Xie, Hao Wu	2020	39
6	Analysis of Alzheimer’s Disease Based on the Random Neural Network Cluster in fMRI Frontiers in Neuroinformatics ·Xia-an Bi, Qin Jiang, Qi Sun, Shu Qing, Yingchao Liu	2018	33
7	Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment Bioinformatics ·Xia-an Bi, Yingchao Liu, Yiming Xie, Xi Hu, Qinghua Jiang	2020	31
8	The Diagnosis of Autism Spectrum Disorder Based on the Random Neural Network Cluster Frontiers in Human Neuroscience ·Xia-an Bi, Yingchao Liu, Qin Jiang, Shu Qing, Qi Sun, Jianhua Dai	2018	30
9	Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment Frontiers in Neuroscience ·Xia-an Bi, Qi Sun, Junxia Zhao, Qian Xu, Liqin Wang	2018	26
10	Detecting Risk Gene and Pathogenic Brain Region in EMCI Using a Novel GERF Algorithm Based on Brain Imaging and Genetic Data IEEE Journal of Biomedical and Health Informatics ·Xia-an Bi, Wenyan Zhou, Lou Li, Zhaoxu Xing	2021	20
11	Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer’s Disease With Imaging Genetic Data IEEE Transactions on Neural Networks and Learning Systems ·Xia-an Bi, Yu Wang, Sheng Luo, Ke Chen, Zhaoxu Xing, Luyun Xu	2022	19
12	Feature aggregation graph convolutional network based on imaging genetic data for diagnosis and pathogeny identification of Alzheimer’s disease Briefings in Bioinformatics ·Xia-an Bi, Wenyan Zhou, Sheng Luo, Yuhua Mao, Xi Hu, Bin Zeng, Luyun Xu	2022	18
13	Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm Frontiers of Computer Science ·Xia-an Bi, Yiming Xie, Hao Wu, Luyun Xu	2021	18
14	IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data Briefings in Bioinformatics ·Xia-an Bi, Lou Li, Zizheng Wang, Yu Wang, Xun Luo, Luyun Xu	2022	17
15	Explainable and programmable hypergraph convolutional network for imaging genetics data fusion Information Fusion ·Xia-an Bi, Sheng Luo, Siyu Jiang, Yu Wang, Zhaoxu Xing, Luyun Xu	2023	16
16	Community Graph Convolution Neural Network for Alzheimer’s Disease Classification and Pathogenetic Factors Identification IEEE Transactions on Neural Networks and Learning Systems ·Xia-an Bi, Ke Chen, Siyu Jiang, Sheng Luo, Wenyan Zhou, Zhaoxu Xing, Luyun Xu, Zhengliang Liu, Tianming Liu	2023	16
17	Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment Interdisciplinary Sciences Computational Life Sciences ·Xia-an Bi, Lou Li, Rui-Hui Xu, Zhaoxu Xing	2021	16
18	Effective Diagnosis of Alzheimer’s Disease via Multimodal Fusion Analysis Framework Frontiers in Genetics ·Xia-an Bi, Ruipeng Cai, Yang Wang, Yingchao Liu	2019	15
19	Analysis of Progression Toward Alzheimer’s Disease Based on Evolutionary Weighted Random Support Vector Machine Cluster Frontiers in Neuroscience ·Xia-an Bi, Qian Xu, Xianhao Luo, Qi Sun, Zhigang Wang	2018	14
20	Effects of asymmetric knowledge spillovers on the stability of horizontal and vertical R&D cooperation Computational and Mathematical Organization Theory ·Deming Zeng, Luyun Xu, Xia-an Bi	2016	11

About Xia-an Bi

Xia-an Bi is a scholar working on Cognitive Neuroscience, Molecular Biology, Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture, having authored 51 papers that have together received 757 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Bioinformatics and Genomic Networks (9 papers), Network Security and Intrusion Detection (8 papers), Network Packet Processing and Optimization (7 papers), EEG and Brain-Computer Interfaces (6 papers), Gene expression and cancer classification (5 papers), Autism Spectrum Disorder Research (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Neurology (142 citations), Cognitive Neuroscience (339 citations), Health Information Management (44 citations), Psychiatry and Mental health (123 citations) and Health Informatics (8 citations). Xia-an Bi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qi Sun, Qian Xu, Yang Wang, Yingchao Liu, Yang Wang, Yiming Xie, Lou Li, Sheng Luo, Zhigang Wang and Qinghua Jiang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Journal of Biomedical and Health Informatics, Briefings in Bioinformatics, PLoS ONE and Frontiers in Genetics.

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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