Hao He

2.4k total citations
46 papers, 1.6k citations indexed

About

Hao He is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Hao He has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in Hao He's work include Functional Brain Connectivity Studies (21 papers), Neural dynamics and brain function (13 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Hao He is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Neural dynamics and brain function (13 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Hao He collaborates with scholars based in United States, China and Singapore. Hao He's co-authors include Vince D. Calhoun, Jing Sui, Qingbao Yu, Godfrey D. Pearlson, Yuhui Du, Lei Wu, Dongdong Lin, Srinivas Rachakonda, Eduardo Castro and Kent A. Kiehl and has published in prestigious journals such as PLoS ONE, NeuroImage and Cancer Research.

In The Last Decade

Hao He

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hao He United States 20 1.2k 590 309 205 114 46 1.6k
Han Yuan United States 26 2.6k 2.1× 397 0.7× 271 0.9× 230 1.1× 72 0.6× 93 3.3k
Qawi K. Telesford United States 12 1.1k 0.9× 313 0.5× 258 0.8× 71 0.3× 140 1.2× 16 1.6k
Nichols Thomas United Kingdom 3 1.5k 1.2× 813 1.4× 196 0.6× 242 1.2× 78 0.7× 7 2.5k
Victor M. Vergara United States 20 885 0.7× 429 0.7× 216 0.7× 144 0.7× 59 0.5× 71 1.3k
Hyejin Kang South Korea 27 1.2k 0.9× 539 0.9× 236 0.8× 249 1.2× 167 1.5× 69 1.8k
Michael Lindner United Kingdom 16 1.3k 1.1× 142 0.2× 137 0.4× 102 0.5× 143 1.3× 23 1.9k
Giancarlo Valente Netherlands 24 1.5k 1.2× 227 0.4× 356 1.2× 75 0.4× 67 0.6× 52 1.9k
Sifis Micheloyannis Greece 25 2.2k 1.7× 371 0.6× 383 1.2× 144 0.7× 105 0.9× 53 2.4k
Mohammad R. Arbabshirani United States 19 1.4k 1.1× 768 1.3× 347 1.1× 287 1.4× 76 0.7× 29 2.2k
Walter Hugo Lopez Pinaya United Kingdom 19 743 0.6× 478 0.8× 159 0.5× 256 1.2× 44 0.4× 43 1.5k

Countries citing papers authored by Hao He

Since Specialization
Citations

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

Fields of papers citing papers by Hao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao He

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

All Works

20 of 20 papers shown
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He, Hao, et al.. (2024). Multi-view subspace clustering with a consensus tensorized scaled simplex representation. Information Sciences. 695. 121730–121730.
4.
Lv, Xiao, et al.. (2024). Effects of an exercise intervention on maternal depression, anxiety, and fatigue: a systematic review and meta-analysis. Frontiers in Psychology. 15. 1473710–1473710. 4 indexed citations
5.
Ge, Linhao, Delphine M. Pott, Hao He, et al.. (2024). RNA modifications in plant biotic interactions. Plant Communications. 6(2). 101232–101232. 3 indexed citations
6.
Lu, Jiajun, Ming Gao, Hao He, et al.. (2023). Abstract 1671: Discovery of ETS-003, a potent and selective YAP/TAZ-TEAD PPI inhibitor with broad anti-tumor activity in Hippo-YAP aberrant cancers. Cancer Research. 83(7_Supplement). 1671–1671. 2 indexed citations
7.
Peer, Asaf, et al.. (2021). Action detection using a neural network elucidates the genetics of mouse grooming behavior. eLife. 10. 37 indexed citations
8.
He, Hao, et al.. (2017). Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network. BMC Bioinformatics. 18(1). 149–149. 19 indexed citations
9.
He, Hao, Jing Sui, Yuhui Du, et al.. (2017). Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders. Brain Structure and Function. 222(9). 4051–4064. 50 indexed citations
10.
Wang, Yingjie, Ying Shen, Xinyu Cao, et al.. (2016). Transcranial direct current stimulation of the frontal-parietal-temporal area attenuates cue-induced craving for heroin. Journal of Psychiatric Research. 79. 1–3. 57 indexed citations
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Du, Yuhui, Godfrey D. Pearlson, Qingbao Yu, et al.. (2015). Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach. Schizophrenia Research. 170(1). 55–65. 179 indexed citations
13.
He, Hao, Qingbao Yu, Yuhui Du, et al.. (2015). Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders. Journal of Affective Disorders. 190. 483–493. 72 indexed citations
14.
Lin, Dongdong, et al.. (2014). Integrative analysis of multiple diverse omics datasets by sparse group multitask regression. Frontiers in Cell and Developmental Biology. 2. 62–62. 19 indexed citations
15.
Yu, Qingbao, Erik B. Erhardt, Jing Sui, et al.. (2014). Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. NeuroImage. 107. 345–355. 184 indexed citations
16.
Sui, Jing, Hao He, Qingbao Yu, et al.. (2013). Combination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICA. Frontiers in Human Neuroscience. 7. 235–235. 91 indexed citations
17.
Sui, Jing, Hao He, Godfrey D. Pearlson, et al.. (2012). Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia. NeuroImage. 66. 119–132. 121 indexed citations
18.
Sui, Jing, Hao He, Jingyu Liu, et al.. (2012). Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. PubMed. 2012. 2692–2695. 17 indexed citations
19.
He, Hao, Jing Sui, Qingbao Yu, et al.. (2012). Altered Small-World Brain Networks in Schizophrenia Patients during Working Memory Performance. PLoS ONE. 7(6). e38195–e38195. 66 indexed citations
20.
Yu, Qingbao, Jing Sui, Srinivas Rachakonda, et al.. (2011). Altered Topological Properties of Functional Network Connectivity in Schizophrenia during Resting State: A Small-World Brain Network Study. PLoS ONE. 6(9). e25423–e25423. 120 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.

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