Jianfeng Wu

742 total citations
34 papers, 491 citations indexed

About

Jianfeng Wu is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jianfeng Wu has authored 34 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 10 papers in Cognitive Neuroscience and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jianfeng Wu's work include Dementia and Cognitive Impairment Research (12 papers), Alzheimer's disease research and treatments (9 papers) and Functional Brain Connectivity Studies (7 papers). Jianfeng Wu is often cited by papers focused on Dementia and Cognitive Impairment Research (12 papers), Alzheimer's disease research and treatments (9 papers) and Functional Brain Connectivity Studies (7 papers). Jianfeng Wu collaborates with scholars based in United States, China and Canada. Jianfeng Wu's co-authors include Yalin Wang, Walter Herzog, Yuanjie Zheng, Xiaodan Sui, Xuemei Pan, Hongsheng Bi, Benzheng Wei, Shaoting Zhang, T.R. Leonard and Zhichuan Tang and has published in prestigious journals such as Scientific Reports, IEEE Access and Journal of Biomechanics.

In The Last Decade

Jianfeng Wu

31 papers receiving 480 citations

Peers

Countries citing papers authored by Jianfeng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jianfeng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianfeng Wu. A scholar is included among the top collaborators of Jianfeng Wu 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 Jianfeng Wu. Jianfeng Wu 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	Online BCI System for Motor Imagery Based on Sliding Weight Method Under Environmental Noise Interference 2025 ·International Journal of Human-Computer Interaction ·(unknown), (unknown), (unknown), (unknown), Jianfeng Wu, (unknown)	0
2	MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems 2025 ·Sensors ·(unknown), Shengying Yang, (unknown), Jianfeng Wu, Liang He, (unknown)	0
3	Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons with and without Significant Amyloid Plaques 2024 ·Journal of Alzheimer s Disease ·Yanxi Chen, (unknown), Yi Su, Jianfeng Wu, Kewei Chen, Alireza Atri, Richard J. Caselli, Eric M. Reiman, Yalin Wang	1
4	A knowledge-enhanced transform-based multimodal classifier for microbial keratitis identification 2023 ·Scientific Reports ·Jianfeng Wu, (unknown), (unknown), Zhengxing Huang, Yesheng Xu, (unknown), Fei Wu, Yu‐Feng Yao	6
5	Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects 2023 ·IEEE Transactions on Computational Social Systems ·Qunxi Dong, Zhigang Li, Weijia Liu, Kewei Chen, Yi Su, Jianfeng Wu, Richard J. Caselli, Eric M. Reiman, Yalin Wang, Jian Shen	1
6	Integrating Transcriptomics, Genomics, and Imaging in Alzheimer's Disease: A Federated Model 2022 ·PubMed ·Jianfeng Wu, (unknown), Panwen Wang, Richard J. Caselli, Paul M. Thompson, Junwen Wang, Yalin Wang	8
7	Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images 2021 ·IEEE Transactions on Medical Imaging ·Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang	7
8	Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases 2021 ·Frontiers in Neuroscience ·Jianfeng Wu, Qunxi Dong, Jie Gui, Jie Zhang, Yi Su, Kewei Chen, Paul M. Thompson, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Yalin Wang	15
9	Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology 2021 ·Frontiers in Neuroscience ·Jianfeng Wu, Qunxi Dong, Jie Zhang, Yi Su, Teresa Wu, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Natasha Leporé, Kewei Chen, Paul M. Thompson, Yalin Wang	7
10	Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition 2020 ·Medical Image Analysis ·Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, (unknown), Tao Yao, (unknown), Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang	8
11	Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline 2020 ·NeuroImage Clinical ·Qunxi Dong, Wen Zhang, Cynthia M. Stonnington, Jianfeng Wu, Boris A. Gutman, Kewei Chen, Yi Su, Leslie C. Baxter, Paul M. Thompson, Eric M. Reiman, Richard J. Caselli, Yalin Wang	12
12	Patch-based surface morphometry feature selection with federated group lasso regression 2020 ·PubMed ·Jianfeng Wu, Jie Zhang, Qingyang Li, Yi Su, Kewei Chen, Eric M. Reiman, (unknown), Natasha Leporé, Jieping Ye, Paul M. Thompson, Yalin Wang	3
13	Evaluation of a New Rotator Cuff Trainer Based on Oscillating Hydraulic Damping 2020 ·Healthcare ·Yinghao Wang, Jianfeng Wu, Hongchun Yang, (unknown), Guozhong Chai	0
14	Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects 2019 ·NeuroImage Clinical ·Qunxi Dong, Wen Zhang, Jianfeng Wu, Bolun Li, (unknown), (unknown), Jie Shi, Boris A. Gutman, Kewei Chen, Leslie C. Baxter, Paul M. Thompson, Eric M. Reiman, Richard J. Caselli, Yalin Wang	36
15	Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics 2018 ·PubMed ·Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang	15
16	Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients 2018 ·Brain Imaging and Behavior ·Zhijun Yao, Yu Fu, Jianfeng Wu, Wenwen Zhang, Yue Yu, Zicheng Zhang, Xia Wu, Yalin Wang, Bin Hu	56
17	Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer’s Disease 2018 ·PubMed ·(unknown), (unknown), Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang	1
18	A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment 2018 ·IEEE Access ·(unknown), Yuanjie Zheng, Yanhui Ding, Sujuan Hou, (unknown), Yan Xu, (unknown), Jianfeng Wu, Dinggang Shen, Hongsheng Bi	14
19	Force depression following skeletal muscle shortening is long lasting 1998 ·Journal of Biomechanics ·Walter Herzog, T.R. Leonard, Jianfeng Wu	39
20	Modeling dynamic contraction of muscle using the cross-bridge theory 1997 ·Mathematical Biosciences ·Jianfeng Wu, Walter Herzog, (unknown)	12

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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