Xiaochen Hu

1.8k total citations
35 papers, 1.1k citations indexed

About

Xiaochen Hu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Xiaochen Hu has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 17 papers in Psychiatry and Mental health and 8 papers in Physiology. Recurrent topics in Xiaochen Hu's work include Dementia and Cognitive Impairment Research (14 papers), Functional Brain Connectivity Studies (14 papers) and Alzheimer's disease research and treatments (8 papers). Xiaochen Hu is often cited by papers focused on Dementia and Cognitive Impairment Research (14 papers), Functional Brain Connectivity Studies (14 papers) and Alzheimer's disease research and treatments (8 papers). Xiaochen Hu collaborates with scholars based in Germany, China and United States. Xiaochen Hu's co-authors include Ying Han, Frank Jessen, Susanne Reiterer, Hermann Ackermann, Michael Erb, Jie Lu, Piu Chan, Jason Martin, Tianyi Yan and Yang Liu and has published in prestigious journals such as NeuroImage, Neuroscience and Journal of Affective Disorders.

In The Last Decade

Xiaochen Hu

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochen Hu Germany 19 697 376 237 219 182 35 1.1k
Jennifer Pacheco United States 17 651 0.9× 236 0.6× 309 1.3× 244 1.1× 114 0.6× 21 1.2k
Tina Gupta United States 22 490 0.7× 642 1.7× 346 1.5× 157 0.7× 223 1.2× 67 1.3k
Marc Sollberger Switzerland 17 655 0.9× 535 1.4× 153 0.6× 169 0.8× 82 0.5× 41 1.1k
Derin Cobia United States 20 1.0k 1.5× 705 1.9× 151 0.6× 263 1.2× 120 0.7× 43 1.6k
Jun Miyata Japan 24 947 1.4× 550 1.5× 220 0.9× 592 2.7× 228 1.3× 70 1.6k
Erin W. Dickie Canada 20 693 1.0× 251 0.7× 243 1.0× 246 1.1× 217 1.2× 52 1.2k
Saumitra Das United States 12 1.2k 1.7× 317 0.8× 298 1.3× 180 0.8× 86 0.5× 14 1.5k
Christopher Petty United States 13 720 1.0× 227 0.6× 380 1.6× 312 1.4× 340 1.9× 15 1.5k
Dennis van ‘t Ent Netherlands 21 711 1.0× 192 0.5× 227 1.0× 171 0.8× 181 1.0× 37 1.1k
Erik O’Hanlon Ireland 21 554 0.8× 428 1.1× 133 0.6× 314 1.4× 186 1.0× 41 1.3k

Countries citing papers authored by Xiaochen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochen Hu. A scholar is included among the top collaborators of Xiaochen 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 Xiaochen Hu. Xiaochen Hu 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
1.
Sannemann, Lena, Xiaochen Hu, Christian Rietz, et al.. (2024). Prediction of depressive symptoms at high age (80+) by psychological, biological and functional factors. Journal of Affective Disorders. 359. 342–349. 1 indexed citations
2.
3.
Cui, Liang, Yuan Zhong, Beiyun Wang, et al.. (2022). Alterations in metamemory capacity and neural correlates in a subtype of subjective cognitive decline. NeuroImage Clinical. 36. 103255–103255. 4 indexed citations
4.
Zhu, Yikang, Lihua Xu, Qian Guo, et al.. (2022). Altered attentive bias towards interpersonal communication information across phases of schizophrenia: an eye-tracking study. General Psychiatry. 35(2). e100699–e100699. 4 indexed citations
5.
Zhu, Yikang, Lihua Xu, Wenzheng Wang, et al.. (2021). Gender differences in attentive bias during social information processing in schizophrenia: An eye-tracking study. Asian Journal of Psychiatry. 66. 102871–102871. 2 indexed citations
6.
Huang, Lin, Keliang Chen, Xiaochen Hu, & Qihao Guo. (2020). Differential Atrophy in the Hippocampal Subfield Volumes in Four Types of Mild Dementia. Frontiers in Neuroscience. 14. 699–699. 17 indexed citations
7.
8.
Liu, Yang, Yan Yan, Yuxia Li, et al.. (2019). Frequency-dependent changes in fractional amplitude of low-frequency oscillations in Alzheimer’s disease: a resting-state fMRI study. Brain Imaging and Behavior. 14(6). 2187–2201. 58 indexed citations
9.
Sun, Yu, Xiaoni Wang, Xiaochen Hu, et al.. (2019). Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome. Frontiers in Neurology. 9. 1178–1178. 28 indexed citations
10.
Liu, Yang, Yan Yan, Yonghao Wang, et al.. (2018). Gradual Disturbances of the Amplitude of Low-Frequency Fluctuations (ALFF) and Fractional ALFF in Alzheimer Spectrum. Frontiers in Neuroscience. 12. 975–975. 145 indexed citations
11.
Baldermann, Juan Carlos, K. Hardenacke, Xiaochen Hu, et al.. (2017). Neuroanatomical Characteristics Associated With Response to Deep Brain Stimulation of the Nucleus Basalis of Meynert for Alzheimer’s Disease. Neuromodulation Technology at the Neural Interface. 21(2). 184–190. 41 indexed citations
12.
Hu, Xiaochen, Jason Martin, Ying Han, et al.. (2017). A Reduction in Delay Discounting by Using Episodic Future Imagination and the Association with Episodic Memory Capacity. Frontiers in Human Neuroscience. 10. 663–663. 22 indexed citations
13.
Bonito-Oliva, Alessandra, Erik Södersten, Giada Spigolon, et al.. (2016). Differential regulation of the phosphorylation of Trimethyl-lysine27 histone H3 at serine 28 in distinct populations of striatal projection neurons. Neuropharmacology. 107. 89–99. 8 indexed citations
14.
Meiberth, Dix, Lukas Scheef, Steffen Wolfsgruber, et al.. (2015). Cortical Thinning in Individuals with Subjective Memory Impairment. Journal of Alzheimer s Disease. 45(1). 139–146. 62 indexed citations
15.
Kullmann, Stephanie, Katrin Elisabeth Giel, Xiaochen Hu, et al.. (2013). Impaired inhibitory control in anorexia nervosa elicited by physical activity stimuli. Social Cognitive and Affective Neuroscience. 9(7). 917–923. 63 indexed citations
16.
Reiterer, Susanne, et al.. (2013). Are you a good mimic? Neuro-acoustic signatures for speech imitation ability. Frontiers in Psychology. 4. 782–782. 28 indexed citations
17.
Reiterer, Susanne, Xiaochen Hu, Michael Erb, et al.. (2011). Individual Differences in Audio-Vocal Speech Imitation Aptitude in Late Bilinguals: Functional Neuro-Imaging and Brain Morphology. Frontiers in Psychology. 2. 271–271. 67 indexed citations
18.
Hu, Xiaochen, Michael Erb, Hermann Ackermann, et al.. (2010). Voxel-based morphometry studies of personality: Issue of statistical model specification—effect of nuisance covariates. NeuroImage. 54(3). 1994–2005. 73 indexed citations
19.
Hu, Xiaochen. (2009). Study Progress on the Safety Management of Adventure Tourism. Luyou xuekan. 1 indexed citations
20.
Hu, Xiaochen. (2005). The Research on the Copying Styles and Social Support of the Old with Depression. Zhongguo quanke yixue. 1 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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