Jun Liang

1.8k citations
62 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Jun Liang

55 papers receiving 1.1k citations

Jun Liang's Hit Papers

How the public uses social media wechat to obtain health information in china: a survey study 2017 · 266 citations
2660+3+6Years since publication50100150200250

Peers

Jun Liang
Comparison fields: 5 of 153
  • Health Informatics 51
  • Applied Psychology 82
  • Health Information Management 66
  • Information Systems and Management 94
  • General Health Professions 269
Replace Turki M Alanzi with:
Turki M Alanzi Saudi Arabia
Jianbo Lei China
Mohammad S. Jalali United States
Talya Porat United Kingdom
Vicente Traver Spain
Chris Paton United Kingdom
Soo-Yong Shin South Korea
Patty Kostkova United Kingdom
Elliot Mbunge Eswatini
Haridimos Kondylakis Greece
Jun Liang relative to Turki M Alanzi Saudi Arabia Turki M Alanzi's profile →
Citations per field
00.5×1.5×2.4×
Turki M Alanzi · 1×
Citations per year

Countries citing papers authored by Jun Liang

Since Specialization
Citations

This map shows the geographic impact of Jun Liang'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 Jun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liang more than expected).

Fields of papers citing papers by Jun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Liang. 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 Jun Liang. The network helps show where Jun Liang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Liang, 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 Jun Liang Line = papers co-authored together Jun Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How the public uses social media wechat to obtain health information in china: a survey study
Hit paper breakdown →
2017266
2 2018113
3 201983
4 201882
5 202157
6 202152
7 201946
8 202237
9 200726
10 202125
11 201823
12 202122
13 201721
14 202119
15
[Treatment of anterior cruciate ligament injury with peroneus longus tendon].
201219
16 202317
17 202213
18 201912
19 202112
20 201910

About Jun Liang

Jun Liang is a scholar working on General Health Professions, Artificial Intelligence, Surgery, Information Systems and Management and Applied Psychology, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (13 papers), Artificial Intelligence in Healthcare and Education (5 papers), Technology Adoption and User Behaviour (4 papers), Foot and Ankle Surgery (4 papers), Biomedical Text Mining and Ontologies (4 papers), Health Literacy and Information Accessibility (3 papers), HIV/AIDS Research and Interventions (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Informatics (51 citations), Applied Psychology (82 citations), Health Information Management (66 citations), Information Systems and Management (94 citations) and General Health Professions (269 citations). Jun Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianbo Lei, Xingting Zhang, Dong Wen, Tong Wang, Xu Zheng, Yonggang Chen, Jinghua Xiao, Yixian Yang, Lixiang Li and Tao Li. Their work appears in journals such as Journal of Medical Internet Research, JMIR mhealth and uhealth, npj Digital Medicine, Journal of Orthopaedic Surgery and Research and Journal of Biomedical Informatics.

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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