A5086084090- scientometrics and bibliometrics research
- Complex Network Analysis Techniques
- Complex Systems and Time Series Analysis
- Misinformation and Its Impacts
- Big Data and Business Intelligence
- Higher Education Governance and Development
- Innovation Diffusion and Forecasting
- Advanced Text Analysis Techniques
- Conferences and Exhibitions Management
- Neural Networks and Applications
- Digital Marketing and Social Media
- Biomedical Text Mining and Ontologies
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Knowledge Management and Technology
- Advanced Technologies in Various Fields
- Nonprofit Sector and Volunteering
- Fashion and Cultural Textiles
- Focus Groups and Qualitative Methods
- Semantic Web and Ontologies
- China's Ethnic Minorities and Relations
- Smart Grid and Power Systems
- Educational Technology and Assessment
- Digital Transformation in Industry
- Energy Load and Power Forecasting
Nanjing University
2015-2024
Southwest Petroleum University
2019
Indiana University Bloomington
2016-2018
With the advent of modern cognitive computing technologies, fashion informatics researchers contribute to academic and professional discussion about how a large-scale data set is able reshape industry. Data-mining-based social network analysis promising area investigate relations information flow among units. By adopting this pragmatic approach, we provide dynamic visualizations case Paris Fashion Week. Three time periods were researched monitor formulation mobilization media users’...
Citations in scientific literature are important both for tracking the historical development of ideas and forecasting research trends. However, diffusion mechanisms underlying citation process remain poorly understood, despite frequent longstanding use counts assessment purposes within community. Here, we extend study dynamics to a more general understand how growth associates with different patterns. Using classic model, quantify illustrate specific which have been proven exert significant...
Scientific novelty drives the efforts to invent new vaccines and solutions during pandemic. First-time collaboration international are two pivotal channels expand teams' search activities for a broader scope of resources required address global challenge, which might facilitate generation novel ideas. Our analysis 98,981 coronavirus papers suggests that scientific measured by BioBERT model is pretrained on 29 million PubMed articles, first-time increased after outbreak COVID-19, witnessed...
Purpose The purpose of this paper is to investigate the continued use behavior (CU) link sharing tools based on uses and gratifications theory, theory planned expectation confirmation theory. It then builds a conceptual model that empirically tested. Design/methodology/approach Data were collected from 343 students (undergraduates, masters, PhD students, MBAs) three Chinese universities via two-phrase survey. SPSS 18.0 AMOS used analyse reliability, validity, fits SEM, respectively. Findings...
Abstract Citation analysis, as a tool for quantitative studies of science, has long emphasized direct citation relations, leaving indirect or high‐order citations overlooked. However, series early and recent demonstrate the existence continuous impact across generations. Adding to literature on citations, we introduce concept cascade : constitution subsequent citing events initiated by certain publication. We investigate this structure analyzing more than 450,000 articles over 6 million...
ABSTRACT Citation is an important measurement in science which provides valuable clues to the historical development and trend forecast of science. However, evolution citation structure remains poorly understood despite long‐period frequent use counts for assessment purposes within scientific community. We observe from a cascade perspective construct large long‐range graph based on real data. Two metrics are used quantify structural virality size. Preliminary results show that (1) age plays...
ABSTRACT We investigate the diffusion characteristics of two groups scientific works with different levels novelty to see how interacts citation patterns. Preliminary results show that: (1) novel ideas have long‐lasting impact, but recognition process lags behind; (2) most metrics can't differentiate under a similar macro environment; (3) take‐off, average clustering coefficient, and connectivity can distinguish novelty. The latter characteristics—average coefficient citing literature...
Artificial Intelligence (AI), a cornerstone of 21st-century technology, has seen remarkable growth in China. In this paper, we examine China's AI development process, demonstrating that it is characterized by rapid learning and differentiation, surpassing the export-oriented propelled Foreign Direct Investment earlier Asian industrializers. Our data indicates China currently leads USA volume AI-related research papers. However, when delve into quality these papers based on specific metrics,...
ABSTRACT Social question and answer (Q&A) platforms offer a new way for identifying information needs of people with certain diseases. Taking Quora as an example, we examine which health topics are interest to autistic how these evolve over time. Experimental results reveal increasingly heavy diverse attention the condition, from diagnosis treatment autism itself extended issues like social challenges, parenting, education issues. We find that users tend post clinical concerns about on...
The global pandemic has dramatically reshaped public discourse, with social media emerging as a pivotal platform for these discussions. This study delves into evolving sentiments, emotions, and prevalent topics in online discussions spanning the years 2020, 2021, 2022, drawing from dataset of 2.65 million tweets Twitter Platform. A multifaceted approach that combines quantitative qualitative methods are developed dissecting discourses, particular focus on lens nationalism. part disassembling...
Accurate power load forecasting is crucial for improving energy efficiency and ensuring supply quality. Considering the problem involves not only dynamic factors like historical variations but also static such as climate conditions that remain constant over specific periods. From model-agnostic perspective, this paper proposes a parallel structure network to extract important information from both data. Firstly, based on complexity learning theory, it demonstrated models integrated through...
ABSTRACT This paper investigates the relationships between scientists' international mobility and their academic disruptiveness, by using data collected from ORCID website Web of Science database (2008‐2017). Specifically, our observations contain 1,388 scholars who joined “brain gain” drain” moved to China in past decades. Results illustrate that disruptiveness significantly increased after they China.
Based on the guidance of State and Sichuan Province’s Medium Long-term Education Reform Development Plan (2010-2020), needs economic construction in Province western region, basis fully investigating bilingual teaching models methods at home abroad,this paper studies mathematics ability foreign language level “international” talents needed by China’s social economy. To meet this demand, some reform proposals are designed, such as university curriculum system, mode, after-school supervision...