Hailun Liang

1.6k citations
49 papers · 1.0k indexed · h-index 18
Topics
Healthcare Policy and Management (15 papers)Primary Care and Health Outcomes (14 papers)Patient Satisfaction in Healthcare (8 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Hailun Liang

47 papers receiving 1.0k citations

Peers

Hailun Liang
Comparison fields: 5 of 132
  • General Health Professions 407
  • Economics and Econometrics 224
  • Finance 214
  • Epidemiology 205
  • Public Health, Environmental and Occupational Health 121
Replace Jing Liao with:
Jing Liao China
M. Heins Netherlands
Dulcie Kermah United States
Xiaolian Jiang China
Marian E. Gornick United States
Lu Shi United States
Igor Karp Canada
Linn Getz Norway
Jeremy Walker United Kingdom
Rajat Das Gupta United States
Hailun Liang relative to Jing Liao China Jing Liao's profile →
Citations per field
00.5×7.6×
Jing Liao · 1×
Citations per year

Countries citing papers authored by Hailun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hailun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Hailun Liang. A scholar is included among the top collaborators of Hailun Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hailun Liang. Hailun Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 13
3 6
4 2
5 8
6 1
7 9
8 9
9 80
10 29
11 22
12 5
13 33
14
Study on the path and impetus of China’s hierarchical healthcare system reform: An analysis based on the policy diffusion theory
2
15 13
16 3
17 49
18 13
19 70
20 29

About Hailun Liang

Hailun Liang is a scholar working on Biological Psychiatry, General Health Professions and Neuropsychology and Physiological Psychology, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Healthcare Policy and Management (15 papers), Primary Care and Health Outcomes (14 papers) and Patient Satisfaction in Healthcare (8 papers). The work is most often cited by research in Finance (214 citations), General Health Professions (407 citations) and Biological Psychiatry (34 citations). Hailun Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Leiyu Shi, De-Chih Lee, May A. Beydoun, Lingzhong Xu, Gan Ding, Hind A. Beydoun, Alan B. Zonderman, Shaker M. Eid, Ruwei Hu and Alek Sripipatana. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

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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