Dai Su

836 total citations
48 papers, 487 citations indexed

About

Dai Su is a scholar working on Finance, Mechanical Engineering and General Health Professions. According to data from OpenAlex, Dai Su has authored 48 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Finance, 10 papers in Mechanical Engineering and 9 papers in General Health Professions. Recurrent topics in Dai Su's work include Healthcare Systems and Reforms (11 papers), Healthcare Policy and Management (9 papers) and Global Health Care Issues (5 papers). Dai Su is often cited by papers focused on Healthcare Systems and Reforms (11 papers), Healthcare Policy and Management (9 papers) and Global Health Care Issues (5 papers). Dai Su collaborates with scholars based in China, United Kingdom and United States. Dai Su's co-authors include Yingchun Chen, Xingyu Zhang, Kevin He, Xinlin Chen, Min Tan, Jingjing Chang, Yunfan Zhang, Haomiao Li, Amin Al‐Habaibeh and Di Jiang and has published in prestigious journals such as Journal of Affective Disorders, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Dai Su

46 papers receiving 479 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dai Su China 11 116 111 89 89 48 48 487
Alok Kumar India 10 203 1.8× 74 0.7× 99 1.1× 46 0.5× 83 1.7× 58 726
Homayoun Sadeghi-Bazargani Iran 15 166 1.4× 37 0.3× 28 0.3× 62 0.7× 62 1.3× 90 778
Peishan Ning China 15 124 1.1× 85 0.8× 26 0.3× 39 0.4× 39 0.8× 61 1.0k
Haiyan Chen United States 17 256 2.2× 129 1.2× 37 0.4× 84 0.9× 42 0.9× 42 595
Megan von Isenburg United States 18 171 1.5× 24 0.2× 28 0.3× 49 0.6× 44 0.9× 46 1.1k
Shu Chen China 15 197 1.7× 60 0.5× 26 0.3× 59 0.7× 57 1.2× 45 865
Fannie Yeung Hong Kong 8 85 0.7× 31 0.3× 21 0.2× 108 1.2× 36 0.8× 10 554
Sun Sun Sweden 16 386 3.3× 164 1.5× 69 0.8× 437 4.9× 120 2.5× 58 1.3k
Mahmood Tara Iran 15 158 1.4× 48 0.4× 41 0.5× 32 0.4× 45 0.9× 55 650

Countries citing papers authored by Dai Su

Since Specialization
Citations

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

Fields of papers citing papers by Dai Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Su

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Su. A scholar is included among the top collaborators of Dai Su 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 Dai Su. Dai Su 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
1.
Chang, Jingjing, et al.. (2023). Is there a change in the appropriateness of admission after patients were admitted? Evidence from four county hospitals in rural China. Frontiers in Public Health. 11. 1106499–1106499. 1 indexed citations
2.
Guo, Dandan, et al.. (2023). Mapping the scientific research on integrated care: a bibliometric and social network analysis. Frontiers in Psychology. 14. 1095616–1095616. 2 indexed citations
3.
Li, Haomiao, et al.. (2023). Is Co-Occurrence of Frailty and Multimorbidity Associated with Increased Risk of Catastrophic Health Expenditure? A Prospective Cohort Analysis in China. Risk Management and Healthcare Policy. Volume 16. 357–368. 3 indexed citations
4.
Zhou, Yaodong, et al.. (2023). Does Education Influence Life-Course Depression in Middle-Aged and Elderly in China? Evidence from the China Health and Retirement Longitudinal Study (CHARLS). International Journal of Environmental Research and Public Health. 20(2). 1256–1256. 15 indexed citations
5.
Su, Dai, et al.. (2022). Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches. Frontiers in Public Health. 10. 998549–998549. 7 indexed citations
6.
Su, Dai, Tao Zhang, Philip Veliz, et al.. (2022). Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department. BMC Medical Research Methodology. 22(1). 18–18. 18 indexed citations
8.
Chen, Xinlin, et al.. (2021). What intensity of exercise is most suitable for the elderly in China? A propensity score matching analysis. BMC Public Health. 21(1). 1396–1396. 23 indexed citations
9.
Su, Dai, Xingyu Zhang, Kevin He, & Yingchun Chen. (2020). Use of machine learning approach to predict depression in the elderly in China: A longitudinal study. Journal of Affective Disorders. 282. 289–298. 85 indexed citations
10.
Hu, Xiaomei, Yan Zhang, Haomiao Li, et al.. (2019). Determinants of inappropriate admission of elderly people in county-level hospitals: a cross-sectional study in rural China. BMJ Open. 9(4). e026443–e026443. 2 indexed citations
11.
Chang, Jingjing, Yingchun Chen, Yan Zhang, et al.. (2019). Effect of inappropriate admissions on hospitalization performance in county hospitals: a cross-sectional study in rural China. Cost Effectiveness and Resource Allocation. 17(1). 8–8. 7 indexed citations
12.
Zhang, Yan, Haomiao Li, Dai Su, et al.. (2019). Determinants of inappropriate admissions of children to county hospitals: a cross-sectional study from rural China. BMC Health Services Research. 19(1). 126–126. 6 indexed citations
13.
Li, Haomiao, Yingchun Chen, Yan Zhang, et al.. (2018). Effectiveness evaluation of quota payment for specific diseases under global budget: a typical provider payment system reform in rural China. BMC Health Services Research. 18(1). 635–635. 13 indexed citations
14.
Chen, Yingchun, Haomiao Li, Gao Hong-xia, et al.. (2017). Model and effectiveness analysis of countywide healthcare reform in Anhui province. Zhonghua yiyuan guanli zazhi. 33(7). 481–485. 3 indexed citations
15.
Shi, Liqun, Yingchun Chen, Haomiao Li, et al.. (2017). Preliminary investigation of regional global per capita budget for medical payment system of countywide medical service community in Anhui province. Zhonghua yiyuan guanli zazhi. 33(7). 489–492. 2 indexed citations
16.
Su, Dai, et al.. (2013). Analysis of the Barriers to Environmental Management Systems Implementation in the Libyan Oil Industry. Key engineering materials. 572. 672–677. 2 indexed citations
17.
Su, Dai, et al.. (2011). Influences of Nano-Calcium Carbonate on Friction Properties of Titanium Complex Grease. Key engineering materials. 486. 159–162. 1 indexed citations
18.
Su, Dai, et al.. (2011). Environmental Impact Assessment of Lighting Products. Key engineering materials. 486. 171–174. 4 indexed citations
19.
Su, Dai, et al.. (2009). Remote Machine Condition Monitoring Using Wireless Web Technology. Key engineering materials. 419-420. 745–748. 4 indexed citations
20.
Hu, Ying, et al.. (2007). Dynamic Design for a Novel Parallel Kinematic Machine with Passive Linkage. Key engineering materials. 364-366. 1037–1042.

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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