Weikai Li

About Weikai Li

Weikai Li, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Nanjing University of Aeronautics and Astronautics, specializes in the field of domain adaptation, brain network.

His recent articles reflect a diverse array of research interests and contributions to the field:

The characteristic patterns of individual brain susceptibility networks underlie Alzheimer’s disease and white matter hyperintensity-related cognitive impairment

TIDE: Test-Time Few-Shot Object Detection

Towards an accurate autism spectrum disorder diagnosis: multiple connectome views from fMRI data

Effects of individual metabolic brain network changes co-affected by T2DM and aging on the probabilities of T2DM: protective and risk factors

Topological properties analysis and identification of mild cognitive impairment based on individual morphological brain network connectome

Wavelet transform-based frequency self-adaptive model for functional brain network

PageRank Algorithm Based on Dynamic Damping Factor

An Improved AdaBoost Method in Imbalanced Data Learning

Weikai Li Information

University

Position

College of Computer Science & Technology

Citations(all)

470

Citations(since 2020)

462

Cited By

106

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Weikai Li Skills & Research Interests

domain adaptation

brain network

Top articles of Weikai Li

The characteristic patterns of individual brain susceptibility networks underlie Alzheimer’s disease and white matter hyperintensity-related cognitive impairment

Translational Psychiatry

2024/4/4

TIDE: Test-Time Few-Shot Object Detection

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2024/3/26

Towards an accurate autism spectrum disorder diagnosis: multiple connectome views from fMRI data

Cerebral Cortex

2024/1

Effects of individual metabolic brain network changes co-affected by T2DM and aging on the probabilities of T2DM: protective and risk factors

Cerebral Cortex

2024/1

Topological properties analysis and identification of mild cognitive impairment based on individual morphological brain network connectome

Cerebral Cortex

2024/1

Wavelet transform-based frequency self-adaptive model for functional brain network

Cerebral Cortex

2023/11/15

PageRank Algorithm Based on Dynamic Damping Factor

2023/10/20

An Improved AdaBoost Method in Imbalanced Data Learning

2023/10/20

Minimum Error Entropy High-Order Extended Kalman Filter

2023/10/20

New insights into the disorder of brain connectivity in schizophrenia

Frontiers in Neuroimaging

2023/8/29

Weikai Li
Weikai Li

H-Index: 6

Aarti Nair
Aarti Nair

H-Index: 12

The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification

MedComm

2023/8

TIToK: A solution for bi-imbalanced unsupervised domain adaptation

Neural Networks

2023/7/1

Clinical application of machine learning methods in psychiatric disorders

Frontiers in Psychiatry

2023/5/31

Functional and structural brain network construction, representation and application

Frontiers in neuroscience

2023/3

Jacobian norm for unsupervised source-free domain adaptation

arXiv preprint arXiv:2204.03467

2022/4/7

Machine learning-derived multimodal neuroimaging of presurgical target area to predict individual's seizure outcomes after epilepsy surgery

Frontiers in Cell and Developmental Biology

2022/1/21

Human-Guided Functional Connectivity Network Estimation for Chronic Tinnitus Identification: A Modularity View

IEEE journal of biomedical and health informatics

2022

Partial Domain Adaptation without Domain Alignment

IEEE Transactions on Pattern Analysis and Machine Intelligence

2022/12/13

Weikai Li
Weikai Li

H-Index: 6

Songcan Chen
Songcan Chen

H-Index: 41

Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer’s disease: a preliminary study

European Radiology

2022/1

Unsupervised domain adaptation with progressive adaptation of subspaces

Pattern Recognition

2022/12/1

Weikai Li
Weikai Li

H-Index: 6

Songcan Chen
Songcan Chen

H-Index: 41

See List of Professors in Weikai Li University(Nanjing University of Aeronautics and Astronautics)

Co-Authors

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