Biao Jie

2.0k total citations
62 papers, 1.4k citations indexed

About

Biao Jie is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Biao Jie has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Biao Jie's work include Functional Brain Connectivity Studies (32 papers), Neural dynamics and brain function (15 papers) and EEG and Brain-Computer Interfaces (11 papers). Biao Jie is often cited by papers focused on Functional Brain Connectivity Studies (32 papers), Neural dynamics and brain function (15 papers) and EEG and Brain-Computer Interfaces (11 papers). Biao Jie collaborates with scholars based in China, United States and South Korea. Biao Jie's co-authors include Dinggang Shen, Daoqiang Zhang, Mingxia Liu, Chong-Yaw Wee, Bo Cheng, Weixin Bian, Xintao Ding, Wei Gao, Qian Wang and Chong‐Yaw Wee and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Biao Jie

51 papers receiving 1.4k citations

Peers

Countries citing papers authored by Biao Jie

Since Specialization

Citations

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

Fields of papers citing papers by Biao Jie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Jie

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	YOLOv9-GSSA model for efficient soybean seedlings and weeds detection 2025 ·Smart Agricultural Technology ·Biqing Liang, (unknown), (unknown), Peng Hu, (unknown), Biao Jie	0
2	DCLNet: Double Collaborative Learning Network on Stationary-Dynamic Functional Brain Network for Brain Disease Classification 2025 ·IEEE Transactions on Image Processing ·(unknown), Biao Jie, Zhengdong Wang, Zhixiang Zhang, Weixin Bian, Yang Yang, Hongwei Li, (unknown), Mingxia Liu	0
3	BFNet: Boundary guidance signal and feature fusion network for camouflaged object detection 2025 ·Image and Vision Computing ·(unknown), Weixin Bian, Biao Jie, Hao Dong, Zhiwei He	0
4	Using outlier elimination to assess learning-based correspondence matching methods 2024 ·Information Sciences ·Xintao Ding, Yonglong Luo, Biao Jie, Qingde Li, Yongqiang Cheng	1
5	Identification of high-functioning autism spectrum disorders based on gray-white matter functional network connectivity 2024 ·Journal of Psychiatric Research ·Yang Yang, (unknown), Zhiwei Wang, Yifei Liu, Fulong Chen, Biao Jie, (unknown), (unknown), Jintao Li, Chao Wang	1
6	TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction 2024 ·Expert Systems with Applications ·(unknown), (unknown), (unknown), Chunyang Liu, Hao Peng, Wenjie Li, (unknown), Peng Hu, (unknown), Biao Jie	5
7	Fingerprint image super-resolution based on multi-class deep dictionary learning and ridge prior 2024 ·Signal Image and Video Processing ·Yi Huang, Weixin Bian, (unknown), Biao Jie, (unknown)	2
8	Sparse-learning-based High-order Dynamic Functional Connectivity Networks for Brain Disease Classification 2023 ·(unknown), Biao Jie, (unknown), (unknown), (unknown), Yang Yang	1
9	Convolutional Recurrent Neural Network for Dynamic Functional MRI Analysis and Brain Disease Identification 2022 ·Frontiers in Neuroscience ·Kai Lin, Biao Jie, (unknown), Xintao Ding, Weixin Bian, Mingxia Liu	20
10	An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification 2021 ·Knowledge-Based Systems ·Ming Zheng, Tong Li, Liping Sun, Taochun Wang, Biao Jie, (unknown), Mingjing Tang, (unknown)	24
11	Distribution-Guided Network Thresholding for Functional Connectivity Analysis in fMRI-Based Brain Disorder Identification 2021 ·IEEE Journal of Biomedical and Health Informatics ·Zhengdong Wang, Biao Jie, (unknown), Taochun Wang, Weixin Bian, Xintao Ding, Wen Zhou, Mingxia Liu	18
12	Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification 2018 ·Medical Image Analysis ·Yang Li, Jingyu Liu, (unknown), Biao Jie, Minjeong Kim, Pew‐Thian Yap, Chong-Yaw Wee, Dinggang Shen	75
13	Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis 2018 ·Lecture notes in computer science ·Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen	4
14	Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy 2017 ·Brain Imaging and Behavior ·(unknown), (unknown), Long Jiang Zhang, Biao Jie, Guangming Lu	6
15	Hyper-connectivity of functional networks for brain disease diagnosis 2016 ·Medical Image Analysis ·Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang	113
16	Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment 2015 ·Brain Imaging and Behavior ·(unknown), Chen Zu, Biao Jie, Mingxia Liu, Songcan Chen, Dinggang Shen, Daoqiang Zhang	64
17	Discriminative multi-task feature selection for multi-modality classification of Alzheimer’s disease 2015 ·Brain Imaging and Behavior ·(unknown), (unknown), Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang	37
18	Frequent and Discriminative Subnetwork Mining for Mild Cognitive Impairment Classification 2014 ·Brain Connectivity ·Fei Fei, Biao Jie, Daoqiang Zhang	19
19	Probability method for Cerenkov luminescence tomography based on conformance error minimization 2014 ·Biomedical Optics Express ·Xintao Ding, Kun Wang, Biao Jie, Yonglong Luo, Zhenhua Hu, Jie Tian	24
20	Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer’s Disease 2013 ·Lecture notes in computer science ·Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang Shen	35

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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