Yao Hu

2.0k total citations
48 papers, 1.6k citations indexed

About

Yao Hu is a scholar working on Artificial Intelligence, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yao Hu has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Developmental Neuroscience and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yao Hu's work include Neurogenesis and neuroplasticity mechanisms (10 papers), Neuroscience and Neuropharmacology Research (6 papers) and Functional Brain Connectivity Studies (5 papers). Yao Hu is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (10 papers), Neuroscience and Neuropharmacology Research (6 papers) and Functional Brain Connectivity Studies (5 papers). Yao Hu collaborates with scholars based in China, Hong Kong and United States. Yao Hu's co-authors include Maya Sieber‐Blum, Viktor Szeder, Miloš Grim, Dong‐Ya Zhu, Chun‐Xia Luo, Qi‐Gang Zhou, Li‐Juan Zhu, Danlian Wu, Kay Chen Tan and Mei Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yao Hu

42 papers receiving 1.5k citations

Peers

Yao Hu

CMN

PHYSI

Úrsula Wyneken Chile

Marco Canossa Italy

Rithwick Rajagopal United States

Min‐Soo Kwon South Korea

Mohammed Filali Canada

Mark Webber Ireland

Ingrid M. Nijholt Netherlands

Carlos V. Melo Portugal

Mahesh Kandasamy India

David Dawbarn United Kingdom

Úrsula Wyneken Chile

Yao Hu

946 ×1.9

604 ×1.4

CMN

238 ×0.8

146 ×0.7

PHYSI

174 ×0.9

Citations per year, relative to Yao Hu Yao Hu (= 1×) peers Úrsula Wyneken

Countries citing papers authored by Yao Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yao Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Sheng, et al.. (2026). Low-Damage Seismic Design Approach for a Long-Span Cable-Stayed Bridge in a High Seismic Hazard Zone: A Case Study of the New Panama Canal Bridge. Buildings. 16(2). 428–428.

He, Haohuai, Guanxing Chen, Yao Hu, et al.. (2025). scKAN: interpretable single-cell analysis for cell-type-specific gene discovery and drug repurposing via Kolmogorov-Arnold networks. Genome biology. 26(1). 300–300.

Huang, Yu‐An, et al.. (2025). CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. Medical Image Analysis. 103. 103581–103581.

Hu, Yao, et al.. (2025). Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15055–15069.

Liu, Rui, Yao Hu, Jibin Wu, et al.. (2025). Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. IEEE Transactions on Cybernetics. 55(3). 1121–1134. 1 indexed citations

Bai, Yujie, Wanying Liu, Qian Guo, et al.. (2025). Dysregulation of peripheral oxidative stress and the Nrf2 antioxidant system in Major Depressive Disorder. Journal of Affective Disorders. 382. 336–345. 1 indexed citations

Liu, Rui, Zhi-An Huang, Yao Hu, et al.. (2024). Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(6). 4046–4058. 7 indexed citations

Hu, Yao, et al.. (2024). Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. 1–8.

Liu, Rui, Zhi-An Huang, Yao Hu, et al.. (2023). Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10591–10605. 50 indexed citations

10.

Xu, Lei, et al.. (2023). Improving the Classification of PCNSL and Brain Metastases by Developing a Machine Learning Model Based on 18F-FDG PET. Journal of Personalized Medicine. 13(3). 539–539. 11 indexed citations

11.

Liu, Rui, Zhi-An Huang, Yao Hu, et al.. (2022). Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7627–7641. 27 indexed citations

12.

Huang, Zhi-An, Yao Hu, Rui Liu, et al.. (2022). Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Transactions on Biomedical Engineering. 70(4). 1137–1149. 45 indexed citations

13.

Hu, Yao, et al.. (2022). The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer. Frontiers in Oncology. 12. 960536–960536. 2 indexed citations

14.

Hu, Yao, Zhi-An Huang, Rui Liu, et al.. (2022). A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 5 indexed citations

15.

Liu, Wanying, Qian Guo, Hua Xu, et al.. (2021). A Preliminary Investigation on Plasma Cell Adhesion Molecules Levels by Protein Microarray Technology in Major Depressive Disorder. Frontiers in Psychiatry. 12. 627469–627469. 3 indexed citations

16.

Xia, Xianfeng, et al.. (2019). Obstetric factors for maternal depression/anxiety. Zhonghua weichan yixue zazhi. 22(3). 180–185. 1 indexed citations

17.

Chen, Cheng, Xin Dong, Kai-Heng Fang, et al.. (2019). Develop a 3D neurological disease model of human cortical glutamatergic neurons using micropillar-based scaffolds. Acta Pharmaceutica Sinica B. 9(3). 557–564. 19 indexed citations

18.

Hu, Yao, Qi Li, Lixiang Ma, et al.. (2016). Directed differentiation of basal forebrain cholinergic neurons from human pluripotent stem cells. Journal of Neuroscience Methods. 266. 42–49. 49 indexed citations

19.

Hu, Yao, Krishnaj Gourab, Clive Wells, et al.. (2010). Epidermal Neural Crest Stem Cell (EPI-NCSC)—Mediated Recovery of Sensory Function in a Mouse Model of Spinal Cord Injury. Stem Cell Reviews and Reports. 6(2). 186–198. 66 indexed citations

20.

Sieber‐Blum, Maya, Miloš Grim, Yao Hu, & Viktor Szeder. (2004). Pluripotent neural crest stem cells in the adult hair follicle. Developmental Dynamics. 231(2). 258–269. 303 indexed citations

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.

Explore authors with similar magnitude of impact