Lingfeng He

Lingfeng HeLingfeng HeLingfeng He

Lingfeng He

Lingfeng HeLingfeng HeLingfeng He
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Lingfeng He

Lingfeng HeLingfeng HeLingfeng He

Ph.D. Candidate in Sociology @ IESSR, XJTU

Lingfeng He

Lingfeng HeLingfeng HeLingfeng He

Ph.D. Candidate in Sociology @ IESSR, XJTU

Greetings!

Welcome to

Lingfeng He's personal profile. You can find his newest research here.

About

Me & My Goals

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). I plan to obtain a Ph.D. degree in Sociology in June 2026.  


As a member of the academic community, I am committed to improving the standardization of the research process and reducing the difficulties of reproducibility of research results. Therefore, I devote my efforts to office automation and workflow of data analysis. As a sociological researcher, my long-cherished wish is to eliminate digital barriers to technology use, and consequently, increase the possibility of upward social mobility. For this reason, I am dedicated to writing and translating technical books that are easy to understand and designing visualized data analysis programs that are easy to use.  

My Research

My research interests lie in social networks, social computation, and informatization-driven translational medicine.  I am currently engaged in several research programs. They are on:

  • social eating, with the most recent publication entitled Social Eating as a Favor Exchange Facilitator: New Survey Evidence from China;
  • urban computing, with the most recent conference paper entitled Sensing the Environmental Inequality of PM2.5 Exposure Using Fine-Scale Measurements of Social Strata and Citizenship Identity;
  • international trade resilience, with the most recent publication entitled Spatio-Temporal Heterogeneity in the International Trade Resilience during COVID-19;
  • deep-learning based radiomics, with the most recent preprint entitled Reconsideration Reproducibility of Currently Deep Learning-Based Radiomics: Taking Renal Cell Carcinoma as an Example.

For more information, please check the Research page or my ResearchGate profile.

Skills

Data Analysis

90 / 100

Python & R & Stata & MySQL

Spatial Statistics & Analysis

85 / 100

ArcGIS & GeoDa & R & Python 

Data Crawling

80 / 100

Python 

Office Automation

80 / 100

C# & VBA & Python  

Programming

75 / 100

Python & C#

Resume

Last modified Aug 18th, 2023

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Every scientific fulfillment raises new questions; it asks to be surpassed and outdated.


Max Weber, Science as A Vocation (1919)


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