Huaning Wang

6.6k total citations
178 papers, 4.0k citations indexed

About

Huaning Wang is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Huaning Wang has authored 178 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Cognitive Neuroscience, 45 papers in Neurology and 39 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Huaning Wang's work include Functional Brain Connectivity Studies (75 papers), Advanced Neuroimaging Techniques and Applications (35 papers) and Transcranial Magnetic Stimulation Studies (34 papers). Huaning Wang is often cited by papers focused on Functional Brain Connectivity Studies (75 papers), Advanced Neuroimaging Techniques and Applications (35 papers) and Transcranial Magnetic Stimulation Studies (34 papers). Huaning Wang collaborates with scholars based in China, United States and Hong Kong. Huaning Wang's co-authors include Qingrong Tan, Zhengwu Peng, Hong Yin, Long‐Biao Cui, Dewen Hu, Yibin Xi, Ruiguo Zhang, Qihua Tan, Baojuan Li and Fen Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Catalysis B: Environmental.

In The Last Decade

Huaning Wang

170 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huaning Wang China 35 1.6k 750 674 603 529 178 4.0k
Yunlong Tan China 29 812 0.5× 298 0.4× 563 0.8× 517 0.9× 689 1.3× 228 3.5k
Tamara Hershey United States 50 1.4k 0.8× 783 1.0× 737 1.1× 673 1.1× 189 0.4× 166 7.2k
Shinichiro Nakajima Japan 35 1.1k 0.7× 421 0.6× 707 1.0× 409 0.7× 953 1.8× 205 4.3k
Yoshihiro Noda Japan 29 1.8k 1.1× 318 0.4× 378 0.6× 1.8k 3.0× 631 1.2× 146 3.9k
Yuping Ning China 38 1.4k 0.8× 414 0.6× 671 1.0× 371 0.6× 1.4k 2.6× 344 5.5k
Miho Ota Japan 38 1.0k 0.6× 958 1.3× 1.2k 1.8× 604 1.0× 1.1k 2.1× 211 5.2k
Hiroaki Hori Japan 38 1.0k 0.6× 395 0.5× 667 1.0× 352 0.6× 1.1k 2.0× 157 5.0k
Jussi Hirvonen Finland 46 1.4k 0.9× 695 0.9× 632 0.9× 343 0.6× 249 0.5× 187 6.0k
Scott A. Small United States 36 1.5k 0.9× 899 1.2× 672 1.0× 587 1.0× 336 0.6× 70 5.7k
David Prvulovic Germany 39 2.7k 1.7× 1.0k 1.3× 499 0.7× 438 0.7× 260 0.5× 91 5.0k

Countries citing papers authored by Huaning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huaning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaning Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huaning Wang. A scholar is included among the top collaborators of Huaning Wang 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 Huaning Wang. Huaning Wang 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.
Wu, Hao, et al.. (2025). A novel RSVP-based system using EEG and eye-movement for classification and localization. Biomedical Signal Processing and Control. 103. 107331–107331. 1 indexed citations
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Zhao, Jun, Saiying Wang, Yumei Wu, et al.. (2024). miR-29a-5p rescues depressive-like behaviors in a CUMS-induced mouse model by facilitating microglia M2-polarization in the prefrontal cortex via TMEM33 suppression. Journal of Affective Disorders. 360. 188–197. 2 indexed citations
5.
Li, Mingyu, Xiaohui Liu, Jing Li, et al.. (2024). Brain glycogen: A key to revealing the pathology of mental diseases. Brain Research. 1844. 149194–149194.
6.
Xie, Yuanjun, et al.. (2024). Targeting auditory verbal hallucinations in schizophrenia: effective connectivity changes induced by low-frequency rTMS. Translational Psychiatry. 14(1). 393–393. 4 indexed citations
7.
Zhou, Lin, et al.. (2024). Effect of geosynthetics reinforcement on seismic behavior of coral sand revetment breakwater subjected to mainshock-aftershock sequences. Soil Dynamics and Earthquake Engineering. 190. 109190–109190. 2 indexed citations
8.
Cui, Long‐Biao, Yahong Zhang, Kun Chen, et al.. (2024). Associated transcriptional, brain and clinical variations in schizophrenia. Nature Mental Health. 2(10). 1239–1249.
9.
Sun, Yuqing, Sangma Xie, Hao Yan, et al.. (2024). Disorder-specific neurodynamic features in schizophrenia inferred by neurodynamic embedded contrastive variational autoencoder model. Translational Psychiatry. 14(1). 496–496. 1 indexed citations
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Zhou, Cuihong, Xinxin Zhao, Rui Li, et al.. (2023). Effects of (S)-ketamine on depression-like behaviors in a chronic variable stress model: a role of brain lipidome. Frontiers in Cellular Neuroscience. 17. 1114914–1114914. 6 indexed citations
13.
Cui, Long‐Biao, Yu‐Fei Fu, Lin Liu, et al.. (2020). Baseline structural and functional magnetic resonance imaging predicts early treatment response in schizophrenia with radiomics strategy. European Journal of Neuroscience. 53(6). 1961–1975. 27 indexed citations
14.
Cui, Long‐Biao, Xiaohui Wang, & Huaning Wang. (2020). Challenges of facing coronavirus disease 2019: Psychiatric services for patients with mental disorders. Psychiatry and Clinical Neurosciences. 74(6). 371–372. 29 indexed citations
15.
Hu, Yang, Gang Ji, Guanya Li, et al.. (2020). Brain Connectivity, and Hormonal and Behavioral Correlates of Sustained Weight Loss in Obese Patients after Laparoscopic Sleeve Gastrectomy. Cerebral Cortex. 31(2). 1284–1295. 23 indexed citations
16.
Wang, Liuxian, Fan Guo, Huaning Wang, et al.. (2019). Effect of second-generation antipsychotics on brain network topology in first-episode schizophrenia: A longitudinal rs-fMRI study. Schizophrenia Research. 208. 160–166. 29 indexed citations
17.
Cui, Long‐Biao, Min Cai, Liuxian Wang, et al.. (2019). Prediction of early response to overall treatment for schizophrenia: A functional magnetic resonance imaging study. Brain and Behavior. 9(2). e01211–e01211. 31 indexed citations
18.
Li, Qian, Xuefang Hao, Huaning Wang, et al.. (2019). Multifunctional REDV-G-TAT-G-NLS-Cys peptide sequence conjugated gene carriers to enhance gene transfection efficiency in endothelial cells. Colloids and Surfaces B Biointerfaces. 184. 110510–110510. 21 indexed citations
19.
Peng, Zhengwu, Cuihong Zhou, Shan‐Shan Xue, et al.. (2018). Mechanism of Repetitive Transcranial Magnetic Stimulation for Depression.. Europe PMC (PubMed Central). 30(2). 84–92. 65 indexed citations
20.
Feng, Dayun, Jian Wang, Haifeng Zhang, et al.. (2017). rTMS Ameliorates PTSD Symptoms in Rats by Enhancing Glutamate Transmission and Synaptic Plasticity in the ACC via the PTEN/Akt Signalling Pathway. Molecular Neurobiology. 55(5). 3946–3958. 23 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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