Lingfeng He

Lingfeng He
  • Bachelor of Laws
  • PhD Candidate at Xi'an Jiaotong University

About

14
Publications
1,095
Reads
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34
Citations
Introduction
Greetings! My name is Lingfeng He, and I am currently pursuing my doctorate at the Institute for Empirical Social Science Research (IESSR), Xi’an Jiaotong University (XJTU). My research interests are in social networks, social computation, and digital public health. If you would like to know more, please feel free to visit my personal website, lingfenghe.com.
Skills and Expertise
Current institution
Xi'an Jiaotong University
Current position
  • PhD Candidate
Education
September 2021 - June 2026
Xi'an Jiaotong University
Field of study
  • Sociology
September 2017 - July 2021
Renmin University of China
Field of study
  • Sociology

Publications

Publications (14)
Conference Paper
Objective: The aim of our study was to estimate the role of medical practitioners as urological misinformation propagators from March 1st, 2022 to October 1st, 2023 in Chinese mainland and to reveal infodemic features of content structure and temporal-spatial features. Methods: Data from medical practitioner accounts with the highest information di...
Article
Full-text available
Exposure to PM2.5 pollution poses substantial health risks, with the precise quantification of exposure being fundamental to understanding the environmental inequalities therein. However, the absence of high-resolution spatiotemporal ambient population data, coupled with an insufficiency of attribute data, impedes a comprehension of the environment...
Article
We investigated the role of medical practitioners as misinformation and disinformation propagators during the COVID-19 infodemic in Chinese mainland. Based on content analysis of contents on Chinese social media, we applied spatiotemporal and network analyses to detect features. We find that professional backgrounds influence the composition and st...
Conference Paper
The COVID-19 outbreak has had a profound socioeconomic impact. Like the rest of the world, China has implemented stringent policies (e.g., lockdowns) and economic support policies to prevent the impacts brought by the pandemic. While the policies have enabled China to make impressive achievements in economic growth and international trade between 2...
Preprint
Full-text available
Computer science and hardware have developed prominently in this decade, advancing Artificial Intelligence and Deep Learning applications in translational medicine. As an icon, DL-radiomics research mushrooms and solves several traditional radiological challenges. Behind the glory of DL-radiomics successful performance, there is limited attention t...
Article
The COVID-19 pandemic and subsequent lockdowns have created immeasurable health and economic crises, leading to unprecedented disruptions to world trade. The COVID-19 pandemic shows diverse impacts on different economies that suffer and recover at different rates and degrees. This research aims to evaluate the spatio-temporal heterogeneity of inter...
Article
Full-text available
The human social and behavioral activities play significant roles in the spread of COVID-19. Social-distancing centered non-pharmaceutical interventions (NPIs) are the best strategies to curb the spread of COVID-19 prior to an effective pharmaceutical or vaccine solution. This study investigates various social-distancing measures’ impact on the spr...
Conference Paper
Air pollution is one of the major environmental factors affecting human health. According to the WHO, 92% of the world's population breathes contaminated air, and air pollution is considered to be the biggest threat to global health. Air pollution needs to be addressed urgently. The first step is to precisely estimate the exposure to air pollution....
Article
Full-text available
Social eating – or eating a meal with significant others – is universally important for social networking in society. This article reviews a research program on social eating as a network builder and resource mobilizer for favor exchanges, and presents new survey evidence on patterns of participation in social eating and favor exchanges in China to...
Preprint
Full-text available
The COVID-19 pandemic and subsequent lockdowns have created immeasurable health and economic crises, leading to unprecedented disruptions to world trade and supply chains. The COVID-19 pandemic shows diverse impacts on different economies and markets that suffer and recover at different rates and degrees. This research aims to evaluate the spatio-t...
Article
Full-text available
Objectives This study was conducted in order to design and develop a framework utilizing deep learning (DL) to differentiate papillary renal cell carcinoma (PRCC) from chromophobe renal cell carcinoma (ChRCC) using convolutional neural networks (CNNs) on a small set of computed tomography (CT) images and provide a feasible method that can be applie...

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