Huawang Wu

1.7k total citations
54 papers, 977 citations indexed

About

Huawang Wu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Huawang Wu has authored 54 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 20 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Huawang Wu's work include Functional Brain Connectivity Studies (39 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Mental Health Research Topics (10 papers). Huawang Wu is often cited by papers focused on Functional Brain Connectivity Studies (39 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Mental Health Research Topics (10 papers). Huawang Wu collaborates with scholars based in China, United States and Australia. Huawang Wu's co-authors include Jiaojian Wang, Hongjun Peng, Chao Wang, Fengchun Wu, Tianzi Jiang, Yuping Ning, Jinping Xu, Shenglin She, Fangfang Chen and Jinping Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Neuroscience.

In The Last Decade

Huawang Wu

51 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huawang Wu China 18 641 279 240 182 122 54 977
Sridhar Kandala United States 17 726 1.1× 272 1.0× 255 1.1× 230 1.3× 134 1.1× 33 1.1k
Susanna L. Fryer United States 22 755 1.2× 318 1.1× 174 0.7× 264 1.5× 93 0.8× 46 1.8k
Lisanne M. Jenkins United States 23 873 1.4× 240 0.9× 537 2.2× 233 1.3× 182 1.5× 58 1.4k
Ruibin Zhang China 22 1.0k 1.6× 359 1.3× 298 1.2× 238 1.3× 216 1.8× 56 1.5k
Stefania Benetti Italy 20 999 1.6× 440 1.6× 342 1.4× 366 2.0× 129 1.1× 33 1.6k
Adon F.G. Rosen United States 15 647 1.0× 314 1.1× 243 1.0× 252 1.4× 245 2.0× 24 1.3k
Xiuli Wang China 18 474 0.7× 149 0.5× 234 1.0× 182 1.0× 158 1.3× 35 833
Anna Huang United States 14 517 0.8× 137 0.5× 173 0.7× 137 0.8× 141 1.2× 33 824
Valerie J. Sydnor United States 16 545 0.9× 335 1.2× 76 0.3× 112 0.6× 94 0.8× 38 1.0k
Rachel E. Thayer United States 16 501 0.8× 292 1.0× 104 0.4× 190 1.0× 153 1.3× 37 1.1k

Countries citing papers authored by Huawang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huawang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huawang Wu. A scholar is included among the top collaborators of Huawang 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 Huawang Wu. Huawang Wu 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.
Huang, Huiyuan, Shufei Zhang, Zezhi Li, et al.. (2025). Characterizing childhood trauma in individuals based on patterns of intrinsic brain connectivity. Journal of Affective Disorders. 375. 103–117. 1 indexed citations
2.
Li, Lijuan, Mo Yu, Xingbing Huang, et al.. (2024). Psilocybin for major depressive disorder: a systematic review of randomized controlled studies. Frontiers in Psychiatry. 15. 1416420–1416420. 3 indexed citations
4.
Wu, Chao, Shenglin She, Qiuhong Li, et al.. (2024). Spontaneous neural activity underlying neutral and happy speech recognition in noise and its association with psychiatric symptoms in patients with schizophrenia. Schizophrenia Research. 274. 90–97. 1 indexed citations
5.
Zhang, Shufei, Shenglin She, Zezhi Li, et al.. (2023). Multi-modal MRI measures reveal sensory abnormalities in major depressive disorder patients: A surface-based study. NeuroImage Clinical. 39. 103468–103468. 7 indexed citations
7.
Zheng, Yingjun, Qiuhong Li, Xiaohua Lü, et al.. (2023). Negative-emotion-induced reduction in speech-in-noise recognition is associated with source-monitoring deficits and psychiatric symptoms in mandarin-speaking patients with schizophrenia. Comprehensive Psychiatry. 124. 152395–152395. 4 indexed citations
8.
9.
Luo, Qianyi, et al.. (2022). Altered regional brain activity and functional connectivity patterns in major depressive disorder: A function of childhood trauma or diagnosis?. Journal of Psychiatric Research. 147. 237–247. 23 indexed citations
11.
Zhang, Jiang, Yuanyuan Li, Huawang Wu, et al.. (2021). Dynamic changes of large-scale resting-state functional networks in major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 111. 110369–110369. 22 indexed citations
12.
She, Shenglin, Shufei Zhang, Fengchun Wu, et al.. (2021). Cortical myelin content mediates differences in affective temperaments. Journal of Affective Disorders. 282. 1263–1271. 4 indexed citations
13.
Luo, Liang, Huawang Wu, Jinping Xu, et al.. (2020). Abnormal large-scale resting-state functional networks in drug-free major depressive disorder. Brain Imaging and Behavior. 15(1). 96–106. 47 indexed citations
14.
Zeng, Min, Min Yu, Qingmao Hu, et al.. (2020). Concurrent alterations of white matter microstructure and functional activities in medication-free major depressive disorder. Brain Imaging and Behavior. 15(4). 2159–2167. 12 indexed citations
15.
Wu, Huawang, Yingjun Zheng, Jie Dong, et al.. (2019). Covariation between spontaneous neural activity in the insula and affective temperaments is related to sleep disturbance in individuals with major depressive disorder. Psychological Medicine. 51(5). 731–740. 40 indexed citations
16.
Wang, Lijie, Lin Yu, Fengchun Wu, Huawang Wu, & Jiaojian Wang. (2019). Altered whole brain functional connectivity pattern homogeneity in medication-free major depressive disorder. Journal of Affective Disorders. 253. 18–25. 39 indexed citations
17.
Liu, Kai, Xiaohua Zhao, Xiaobing Lu, et al.. (2018). Effect of selective serotonin reuptake inhibitor on prefrontal-striatal connectivity is dependent on the level of TNF-α in patients with major depressive disorder. Psychological Medicine. 49(15). 2608–2616. 16 indexed citations
18.
Guo, Xinxing, Xiao Ou, Yanxian Chen, et al.. (2017). Three-Dimensional Eye Shape, Myopic Maculopathy, and Visual Acuity: The Zhongshan Ophthalmic Center–Brien Holden Vision Institute High Myopia Cohort Study. Ophthalmology. 124(5). 679–687. 58 indexed citations
19.
Wu, Huawang, et al.. (2016). A CCA and ICA-Based Mixture Model for Identifying Major Depression Disorder. IEEE Transactions on Medical Imaging. 36(3). 745–756. 16 indexed citations
20.
Peng, Hongjun, Ying Long, Jie Li, et al.. (2014). Hypothalamic-pituitary-adrenal axis functioning and dysfunctional attitude in depressed patients with and without childhood neglect. BMC Psychiatry. 14(1). 45–45. 36 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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