Academic profile

I am Jingying Wang, a researcher with training in psychology and an interdisciplinary research trajectory centered on neuropsychiatric disorders.

I received my Ph.D. from the Institute of Psychology, University of Chinese Academy of Sciences, in 2017. where my work began with modeling openly observable social network behavior, then expanded into identifying affective disorders from visible behavioral signals such as voice and gait.

I have accumulated extensive postdoctoral research experience focusing on neuropsychiatric disorders over five and a half years, with additional work involving wearable devices, EEG, brain stimulation, and neuroimaging technologies.

During the subsequent transition period, I remained actively engaged in academic activities, including publishing manuscripts, peer reviewing, and contributing to ongoing research.

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Jingying Wang

Research Interests

About

Biography

I am a researcher with training in psychology and an interdisciplinary research trajectory centered on neuropsychiatric disorders.

My scientific path began with the study of publicly observable behavior in social networks. The modeling experience I developed there later became foundational for research on identifying mood disorders from visible behavioral signals, including voice and gait.

During my postdoctoral period, my work expanded to include:

  • quantitative assessment of Parkinsonian symptoms using wearable and wireless sensors,
  • the effects of noninvasive brain stimulation on brain function, and
  • neuroimaging approaches to aging in Autism.

These experiences strengthened my methodological foundation for studying symptom expression and brain change together. More broadly, they prepared me to investigate how behavioral phenotypes, neural mechanisms, and disease progression interact across a range of neuropsychiatric conditions.

Research Interests

  • Neuropsychiatric disorders
  • Behavior patterns
  • Analysis and prediction
  • Brain stimulation
  • Wearable and wireless sensing
  • Aging and neuroimaging

Working Experience

  • Postdoctoral Fellow, Fudan University, 2018-2020
  • Postdoctoral Fellow, Hong Kong Polytechnic University, 2020-2021
  • Postdoctoral Associate, University of Florida, 2022-2024

Education

Institute of Psychology, University of Chinese Academy of Sciences (UCAS), 2017

Selected Publications

For more and the most up-to-date publication list, see my Google Scholar profile.

Journal Articles

Computational Vocal and Gait Biomarkers

  • Jingying Wang, Yang Wen, Junhong Zhou, Nan Zhao, & Tingshao Zhu (2024). Identifying stress scores from gait biometrics captured using a camera: A cross-sectional study. Gait & Posture, 109, 15-21.
  • Yazheng Di, Jingying Wang, Xiaoqian Liu, & Tingshao Zhu (2021). Combining polygenic risk score and voice features to detect major depressive disorders. Frontiers in Genetics, 12, 761141.
  • Yazheng Di, Jingying Wang, Weidong Li, & Tingshao Zhu. (2021). Using i-vectors from voice features to identify major depressive disorder. Journal of Affective Disorders, 288, 161-166.
  • Yameng Wang, Jingying Wang, Xiaoqian Liu, & Tingshao Zhu. (2021). Detecting de- pression through gait data: examining the contribution of gait features in recognizing depression. Frontiers in psychiatry, 12:661213.
  • Jinying Wang, Lei Zhang, Tianli Liu, Wei Pan, Bin Hu, & Tingshao Zhu. (2019). Acoustic differences between healthy and depressed people: a cross-situation study. BMC Psychiatry. 19:300.
  • Nan Zhao, Zhan Zhang, Yameng Wang, Jingying Wang, Baobin Li, Tingshao Zhu, & Yuanyuan Xiang. (2019). See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data. PLoS one, 14(5), e0216591.
  • Pan Wei, Jingying Wang, Tianli Liu, Xiaoqian Liu, Mingming Liu, Bin Hu, & Tingshao Zhu. (2018). Depression recognition based on speech analysis. Chinese Science bulletin. 63(20):2081-2092. (In Chinese)

Neurobehavioral and Structural Correlates of Aging in Autism Spectrum Disorder

  • Jingying Wang, Danielle Christensen, Stephen A. Coombes, & Zheng Wang. (2024). Cognitive and brain morphological deviations in middle-to-old aged autistic adults: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews, 105782.
  • Christensen, Danielle, Young Seon Shin, Jingying Wang, Carolina R. Cuomo, Tyler Dentry, … & Zheng Wang. (2025). Subcortical brain volume variations in autistic individuals across the lifespan. Molecular Autism, 16(1), 46.
  • Qu, Hang, Jingying Wang, Desirae J. Shirley, Hanna M. Gemmell, Danielle Christensen, Ann‐Marie Orlando, … & Zheng Wang. (2025). Atypical postural control variability and coordination persist into middle and older adulthood in autism spectrum disorder. Autism Research, 18(4), 752-764.
  • Shin, Young Seon, Danielle Christensen, Jingying Wang, Desirae J. Shirley, Ann-Marie Orlando, Regilda A. Romero, … & Zheng Wang. (2025). Transcallosal white matter and cortical gray matter variations in autistic adults aged 30–73 years. Molecular Autism, 16(1), 16.

Wearable Sensor-based Clinical Quantification in Parkinson’s Disease

  • Han Zhang, Chuantao Li, Wei Liu, Jingying Wang, Junhong Zhou, & Shouyan Wang. (2020). A Multi-Sensor Wearable System for the Quantitative Assessment of Parkinsons Disease. Sensors, 20(21), 6146.
  • Jingying Wang, Dawei Gong, Huichun Luo, Wenbin Zhang, Lei Zhang, Junhong Zhou, & Shouyan Wang. (2020). Measurement of step angle for quantifying the gait impairment of Parkinson’s disease by wearable sensors: Controlled Study. JMIR mHealth and uHealth. 8(3), e16650.

Non-Invasive Brain Stimulation and Quantitative Functional Assessment

  • Jingying Wang, Kaiyip Choi, Herny Chan, Benjamin Thompson, & Allen Cheong. (2024). The effect of montages of transcranial alternating current stimulation on occipital responses—a sham-controlled pilot study. Frontiers in Psychiatry, 14, 1273044.
  • Bello Umar M., Jingying Wang, Adela SY Park, Ken WS Tan, Blossom WS Cheung, Benjamin Thompson, & Allen MY Cheong. (2023). Can visual cortex non-invasive brain stimulation improve normal visual function? A systematic review and meta-analysis. Frontiers in Neuroscience, 17, 1119200.
  • Jingying Wang, Huichun Luo, Rasmus Schülke, Xinyi Geng, Barbara J Sahakian, & Shouyan Wang (2021). Is Transcranial Direct Current Stimulation, Alone or in Combination with Antidepressant Medications or Psychotherapies, Effective in Treating Major Depressive Disorder? — A systematic review and meta-analysis. BMC Medicine, 19(1), 1-14.

Behavior Patterns in Social Media

  • Jingying Wang, Tingshao Zhu, Bibo Hao, & Tianli Liu. (2016). Life satisfaction among microblog users: an analysis on linguistic and behavior features. Chinese Public Health, 32(2), 225-229. (In Chinese)
  • Jingying Wang, Shuoqiu Gan, Nan Zhao, Tianli Liu, & Tingshao Zhu. (2016). Chinese mood variation analysis based on Sina Weibo. Journal of University of Chinese Academy of Sciences. 33(6), 815-824. (In Chinese)
  • Jingying Wang, Tianli Liu, Tingshao Zhu, Lei Zhang, Bibo Hao, & Zhenxiang Chen. (2015). Classify sina weibo users into high or low happiness groups using linguistic and behavior features. arXiv. preprint arXiv:1507.01796.
  • Tingshao Zhu, Jingying Wang, Nan Zhao, & Xiaoqian Liu. (2015). Reform on psycho- logical research in big data age. Journal of Xinjiang Normal University (Philosophy and Social Sciences). 36(4), 100-107. (In Chinese)

Peer Review and Scholarly Service

  • Guest Editor for Frontiers in Psychiatry
  • Peer Reviewer for General Psychiatry, JMIR, Frontiers in Neuroscience, etc.

CV

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