Jun Liang

56 papers receiving 1.2k citations

Jun Liang's Hit Papers

How the public uses social media wechat to obtain health information in china: a survey study 2017 · 284 citations
2840+3+6Years since publication50100150200250

Peers

Jun Liang
Comparison fields: 5 of 143
  • Health Informatics 30
  • Applied Psychology 51
  • Health Information Management 45
  • Information Systems and Management 73
  • General Health Professions 175
Replace Sujin Kim with:
Sujin Kim United States
Talya Porat United Kingdom
Mohammad S. Jalali United States
Turki M Alanzi Saudi Arabia
Vicente Traver Spain
Chris Paton United Kingdom
Walter H. Curioso Peru
Alla Keselman United States
Jihad S. Obeid United States
Ashir Ahmed Japan
Jun Liang relative to Sujin Kim United States Sujin Kim's profile →
Citations per field
00.5×3.4×
Sujin Kim · 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 61 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 →
2017284
2 2018122
3 201890
4 201988
5 202165
6 202162
7 201946
8 202243
9 200728
10 202125
11 201825
12 202125
13 201724
14 202122
15 202320
16
[Treatment of anterior cruciate ligament injury with peroneus longus tendon].
201219
17 202217
18 202115
19 201914
20 201812

About Jun Liang

Jun Liang is a scholar working on General Health Professions, Health Information Management, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Infectious Diseases, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (7 papers), Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (3 papers), Advanced Fiber Optic Sensors (2 papers), Particle accelerators and beam dynamics (2 papers), HIV/AIDS Research and Interventions (2 papers), Gyrotron and Vacuum Electronics Research (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Health Informatics (30 citations), Applied Psychology (51 citations), Health Information Management (45 citations), Information Systems and Management (73 citations) and General Health Professions (175 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, Lixiang Li, Yixian Yang, Tao Li and Jinghua Xiao. Their work appears in journals such as Journal of Medical Internet Research, npj Digital Medicine, Frontiers in Pharmacology, JMIR mhealth and uhealth 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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