World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5223
World Ranking
12596
National Ranking
5103

Overview

Erjia Yan is affiliated with Drexel University in the United States and works primarily in the field of Social Sciences. Their research encompasses a range of subfields including Statistics, Probability and Uncertainty, Education, Library and Information Sciences, Economics and Econometrics, and Computer Science Applications.

Their scientific output covers topics related to scientometrics and bibliometrics research, higher education research studies, library science and administration, web and library services, complex network analysis techniques, advanced text analysis techniques, and diversity and career in medicine.

Erjia Yan's recent scholarly publications include:

  • "Where Do We Stand? Diversity, Equity, Inclusion, and Social Justice in North American Library and Information Science Education," 2021, Journal of Education for Library and Information Science
  • "Citation cascade and the evolution of topic relevance," 2020, Journal of the Association for Information Science and Technology
  • "Analyzing academic mobility of U.S. professors based on ORCID data and the Carnegie Classification," 2020, Quantitative Science Studies
  • "Gender and country biases in Wikipedia citations to scholarly publications," 2022, Journal of the Association for Information Science and Technology
  • "Analyzing China's research collaboration with the United States in high-impact and high-technology research," 2021, Quantitative Science Studies

Several frequent coauthors have collaborated with Yan, including:

  • Chaoqun Ni
  • Mat Kelly
  • Yongjun Zhu
  • Jiangen He
  • Alex H. Poole

Yan's work has been published mainly in the following venues:

  • Quantitative Science Studies
  • Journal of the Association for Information Science and Technology
  • Journal of Education for Library and Information Science
  • Innovation in Aging
  • Neural Regeneration Research

The frequent publication in these journals reflects a focus on areas related to information science, quantitative analysis of science studies, and education.

Best Publications

  • Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis

    Kai Li;Jason Rollins;Erjia Yan

  • PageRank for ranking authors in co-citation networks

    Ying Ding;Erjia Yan;Arthur Frazho;James Caverlee

  • Applying centrality measures to impact analysis: A coauthorship network analysis

    Erjia Yan;Ying Ding

  • Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools

    Xuelian Pan;Erjia Yan;Ming Cui;Weina Hua

  • The cognitive structure of Library and Information Science: Analysis of article title words

    Staša Milojević;Cassidy R. Sugimoto;Erjia Yan;Ying Ding

  • Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other

    Erjia Yan;Ying Ding

  • Discovering author impact: A PageRank perspective

    Erjia Yan;Ying Ding

  • Mapping library and information science in China: a coauthorship network analysis

    Erjia Yan;Ying Ding;Qinghua Zhu

  • P-Rank: An indicator measuring prestige in heterogeneous scholarly networks

    Erjia Yan;Ying Ding;Cassidy R. Sugimoto

  • PageRank for ranking authors in co-citation networks

    Ying Ding;Erjia Yan;Arthur Frazho;James Caverlee

  • Entitymetrics: Measuring the Impact of Entities

    Ying Ding;Min Song;Jia Han;Qi Yu

  • Weighted citation: An indicator of an article's prestige

    Erjia Yan;Ying Ding

  • Applying centrality measures to impact analysis: A coauthorship network analysis

    Erjia Yan;Ying Ding

  • Predicting and recommending collaborations: An author-, institution-, and country-level analysis

    Erjia Yan;Raf Guns

  • Topics in dynamic research communities: An exploratory study for the field of information retrieval

    Erjia Yan;Ying Ding;Sta Ša Milojević;Cassidy R. Sugimoto

  • Community-based topic modeling for social tagging

    Daifeng Li;Bing He;Ying Ding;Jie Tang

  • Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec

    Yongjun Zhu;Erjia Yan;Fei Wang

  • Assessing the impact of software on science: A bootstrapped learning of software entities in full-text papers

    Xuelian Pan;Erjia Yan;Qianqian Wang;Weina Hua

  • A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science

    Ludo Waltman;Erjia Yan;Nees Jan Eck

  • Finding knowledge paths among scientific disciplines

    Erjia Yan

  • Perspectives on social tagging

    Unknown

  • Perspectives on social tagging

    Ying Ding;Elin K. Jacob;Zhixiong Zhang;Schubert Foo

  • Will open access increase journal CiteScores? An empirical investigation over multiple disciplines.

    Yang Li;Chaojiang Wu;Erjia Yan;Kai Li

Frequent Co-Authors

Ying Ding
Ying Ding The University of Texas at Austin
Cassidy R. Sugimoto
Cassidy R. Sugimoto Indiana University
Xiaohua Hu
Xiaohua Hu Drexel University
Min Song
Min Song Yonsei University
Ludo Waltman
Ludo Waltman Leiden University
Il-Yeol Song
Il-Yeol Song Drexel University
Nees Jan van Eck
Nees Jan van Eck Leiden University
James Caverlee
James Caverlee Texas A&M University
Schubert Foo
Schubert Foo Nanyang Technological University
Blaise Cronin
Blaise Cronin Indiana University

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