Ran Hu

2.6k citations
113 papers · 1.6k · 1 hit paper · h-index 21

Impact in

Papers in

Ran Hu

102 papers receiving 1.5k citations

Ran Hu's Hit Papers

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach 2020 · 259 citations
2590+2+4Years since publication50100150200250

Peers

Ran Hu
Comparison fields: 5 of 164
  • Public Administration 116
  • Health 156
  • Linguistics and Language 49
  • Communication 65
  • Literature and Literary Theory 94
Replace Jane Miller with:
Jane Miller United States
Kieran C. O’Doherty Canada
Janet Goodall United Kingdom
Andrew G D Holmes United Kingdom
Joanne Hughes United Kingdom
Simon Thompson United Kingdom
Rachel Wilson Australia
Jennifer Steele United States
A. G. Howson United States
Ran Hu relative to Jane Miller United States Jane Miller's profile →
Citations per field
00.5×7.3×
Jane Miller · 1×
Citations per year

Countries citing papers authored by Ran Hu

Since Specialization
Citations

This map shows the geographic impact of Ran Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ran Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Hu more than expected).

Fields of papers citing papers by Ran Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ran Hu. The network helps show where Ran Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ran Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Hu Line = papers co-authored together Ran Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
Hit paper breakdown →
2020259
2 2020112
3 2019111
4 2014104
5 201981
6
Task-Based Language Teaching: Responses from Chinese Teachers of English.
201367
7 201865
8 202031
9 201930
10 202029
11 201328
12 200828
13 202026
14 197824
15 201924
16 201722
17 202222
18 201521
19 202120
20 201820

About Ran Hu

Ran Hu is a scholar working on Epidemiology, Sociology and Political Science, Education, General Health Professions and Social Psychology, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Social Work Education and Practice (9 papers), Interprofessional Education and Collaboration (8 papers), Herpesvirus Infections and Treatments (5 papers), Gastric Cancer Management and Outcomes (5 papers), Multilingual Education and Policy (5 papers), High voltage insulation and dielectric phenomena (5 papers), Sex work and related issues (4 papers) and Global Education and Multiculturalism (4 papers). The work is most often cited by research in Public Administration (116 citations), Health (156 citations), Linguistics and Language (49 citations), Communication (65 citations) and Literature and Literary Theory (94 citations). Ran Hu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jia Xue, Junxiang Chen, Chen Chen, Tingshao Zhu, Toula Kourgiantakis, Chengda Zheng, Yue Su, Judith Logan, Judith Smith and Karen M. Sewell. Their work appears in journals such as Journal of Medical Internet Research, Social Work Education, Cancer Management and Research, Journal of Interpersonal Violence and Frontiers in Public Health.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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