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Jiang Shao

Biographic Data

ID7850449
NAMEJiang Shao
GIVEN NAMESJiang
FAMILY NAMEShao
SIGNATURESHAO J
AFFILIATIONSChina University of Mining and Technology
ORCID0009-0001-5759-313X
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • An integrated framework to quantitatively analyze the potential threat of landslide-triggered outburst flood hazard chain, a case study in Danba, China

    Open Access•Dingzhu Liu, Daochuan Liu et al.•ARTICLE•International Journal of Disaster…•2025

  • Effects of interface layouts on cognitive performance for pedicle screw placement simulator in immersive environments

    Open Access•Lang Qin, Kadek Ananta Satriadi et al.•ARTICLE•International Journal of…•2025

  • The influence of paradigm interface guided by different visual types on MI-BCI performance

    Jiang Shao, Yuxin Bai et al.•ARTICLE•Behaviour and Information…•2025

    Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI) tasks are the basis for communication through (electroencephalogram) EEG signals. During the MI-BCI user training process, this study analyzes and summarises four different visual paradigms and compares their impact on the outcomes of MI-BCI training. Four different visual paradigms are experimentally compared through classification outcomes and subjective evaluation. EEG …

  • Social Bots’ Role in the Covid-19 Pandemic Discussion on Twitter

    Open Access•Yaming Zhang, Wenjie Song et al.•ARTICLE•International Journal of…•2023

    Social bots have already infiltrated social media platforms, such as Twitter, Facebook, and so on. Exploring the role of social bots in discussions of the COVID-19 pandemic, as well as comparing the behavioral differences between social bots and humans, is an important foundation for studying public health opinion dissemination. We collected data on Twitter and used Botometer to classify users into social bots and humans. Machine learning methods…

  • Is There a Difference in Brain Functional Connectivity between Chinese Coal Mine Workers Who Have Engaged in Unsafe Behavior and Those Who Have Not

    Open Access•Fangyuan Tian, Hongxia Li et al.•ARTICLE•International Journal of…•2022

    (1) Background: As a world-recognized high-risk occupation, coal mine workers need various cognitive functions to process the surrounding information to cope with a large number of perceived hazards or risks. Therefore, it is necessary to explore the connection between coal mine workers' neural activity and unsafe behavior from the perspective of cognitive neuroscience. This study explored the functional brain connectivity of coal mine workers wh…

  • Effect of Shift Work on Cognitive Function in Chinese Coal Mine Workers

    Open Access•Fangyuan Tian, Hongxia Li et al.•ARTICLE•International Journal of…•2022

    The current findings provide new insights regarding the effect of shift work on the cognitive ability of Chinese coal mine workers from the view of brain science

  • ERP Study of Mine Management System Warning Interface under Fatigue

    Open Access•Yuxin Bai, Jiang Shao et al.•ARTICLE•International Journal of…•2022

    Due to the large volume of monitoring data in mines, concentrating on and reviewing the data for a long period of time will easily cause fatigue. To study the influence of different visual codes of early-warning interfaces on the response of individuals who are fatigued, the changes in the subjective fatigue and corresponding frequency waves are compared before and after a fatigue-inducing task, as well as using event-related potential to study t…

  • Psychological symptoms of ordinary Chinese citizens based on SCL-90 during the level I emergency response to Covid-19

    Open Access•Fangyuan Tian, Hongxia Li et al.•ARTICLE•Psychiatry Research•2020

No prominent works on this page.

  • Psychological symptoms of ordinary Chinese citizens based on SCL-90 during the level I emergency response to Covid-19

    Open Access•Fangyuan Tian, Hongxia Li et al.•ARTICLE•Psychiatry Research•2020

  • Is There a Difference in Brain Functional Connectivity between Chinese Coal Mine Workers Who Have Engaged in Unsafe Behavior and Those Who Have Not

    Open Access•Fangyuan Tian, Hongxia Li et al.•ARTICLE•International Journal of…•2022

    (1) Background: As a world-recognized high-risk occupation, coal mine workers need various cognitive functions to process the surrounding information to cope with a large number of perceived hazards or risks. Therefore, it is necessary to explore the connection between coal mine workers' neural activity and unsafe behavior from the perspective of cognitive neuroscience. This study explored the functional brain connectivity of coal mine workers wh…

  • Effect of Shift Work on Cognitive Function in Chinese Coal Mine Workers

    Open Access•Fangyuan Tian, Hongxia Li et al.•ARTICLE•International Journal of…•2022

    The current findings provide new insights regarding the effect of shift work on the cognitive ability of Chinese coal mine workers from the view of brain science

  • ERP Study of Mine Management System Warning Interface under Fatigue

    Open Access•Yuxin Bai, Jiang Shao et al.•ARTICLE•International Journal of…•2022

    Due to the large volume of monitoring data in mines, concentrating on and reviewing the data for a long period of time will easily cause fatigue. To study the influence of different visual codes of early-warning interfaces on the response of individuals who are fatigued, the changes in the subjective fatigue and corresponding frequency waves are compared before and after a fatigue-inducing task, as well as using event-related potential to study t…

  • Social Bots’ Role in the Covid-19 Pandemic Discussion on Twitter

    Open Access•Yaming Zhang, Wenjie Song et al.•ARTICLE•International Journal of…•2023

    Social bots have already infiltrated social media platforms, such as Twitter, Facebook, and so on. Exploring the role of social bots in discussions of the COVID-19 pandemic, as well as comparing the behavioral differences between social bots and humans, is an important foundation for studying public health opinion dissemination. We collected data on Twitter and used Botometer to classify users into social bots and humans. Machine learning methods…

  • An integrated framework to quantitatively analyze the potential threat of landslide-triggered outburst flood hazard chain, a case study in Danba, China

    Open Access•Dingzhu Liu, Daochuan Liu et al.•ARTICLE•International Journal of Disaster…•2025

  • Effects of interface layouts on cognitive performance for pedicle screw placement simulator in immersive environments

    Open Access•Lang Qin, Kadek Ananta Satriadi et al.•ARTICLE•International Journal of…•2025

  • The influence of paradigm interface guided by different visual types on MI-BCI performance

    Jiang Shao, Yuxin Bai et al.•ARTICLE•Behaviour and Information…•2025

    Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI) tasks are the basis for communication through (electroencephalogram) EEG signals. During the MI-BCI user training process, this study analyzes and summarises four different visual paradigms and compares their impact on the outcomes of MI-BCI training. Four different visual paradigms are experimentally compared through classification outcomes and subjective evaluation. EEG …

Psychology (6 works) · Computer Science (4 works) · Medicine (4 works) · Neuroscience (3 works) · Coal (2 works) · Coal mining (2 works) · Cognition (2 works) · Disease (2 works) · EEG and Brain-Computer Interfaces (2 works) · Electroencephalography (2 works)

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