Hui‐Lung Hsieh

541 total citations
22 papers, 429 citations indexed

About

Hui‐Lung Hsieh is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hui‐Lung Hsieh has authored 22 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 10 papers in Pediatrics, Perinatology and Child Health and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hui‐Lung Hsieh's work include Neonatal Respiratory Health Research (7 papers), Technology Adoption and User Behaviour (5 papers) and Birth, Development, and Health (4 papers). Hui‐Lung Hsieh is often cited by papers focused on Neonatal Respiratory Health Research (7 papers), Technology Adoption and User Behaviour (5 papers) and Birth, Development, and Health (4 papers). Hui‐Lung Hsieh collaborates with scholars based in United States and Taiwan. Hui‐Lung Hsieh's co-authors include Babak Khoshnood, Robert Mittendorf, Stephen Wall, Chung-Hung Tsai, Kwang‐Sun Lee, Yu-Ming Kuo, Jaideep Singh, Marguerite Herschel, William H. Baricos and Emmanuel Shapira and has published in prestigious journals such as American Journal of Epidemiology, American Journal of Preventive Medicine and The Journal of Pediatrics.

In The Last Decade

Hui‐Lung Hsieh

21 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui‐Lung Hsieh United States 11 191 108 96 84 77 22 429
Jan H.W. Veerbeek Netherlands 11 478 2.5× 44 0.4× 183 1.9× 114 1.4× 596 7.7× 17 859
Antônio José Leal Costa Brazil 15 92 0.5× 22 0.2× 64 0.7× 150 1.8× 17 0.2× 53 619
Sarah Pickle United States 9 83 0.4× 13 0.1× 143 1.5× 33 0.4× 48 0.6× 22 360
Jamie L. Benham Canada 14 66 0.3× 26 0.2× 94 1.0× 44 0.5× 120 1.6× 42 651
Julia Clark United Kingdom 11 27 0.1× 30 0.3× 122 1.3× 124 1.5× 8 0.1× 29 437
Dena Goldberg United States 10 129 0.7× 142 1.3× 86 0.9× 39 0.5× 12 0.2× 25 449
Teppo Huttunen Finland 14 86 0.5× 74 0.7× 67 0.7× 41 0.5× 7 0.1× 23 540
Sue Roberts United Kingdom 10 102 0.5× 6 0.1× 49 0.5× 89 1.1× 166 2.2× 30 496
Nassr Nama Canada 11 57 0.3× 62 0.6× 50 0.5× 37 0.4× 2 0.0× 31 439
Grant Cumming United Kingdom 14 66 0.3× 8 0.1× 81 0.8× 140 1.7× 96 1.2× 43 594

Countries citing papers authored by Hui‐Lung Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Lung Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Lung Hsieh. 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 Hui‐Lung Hsieh. The network helps show where Hui‐Lung Hsieh may publish in the future.

Co-authorship network of co-authors of Hui‐Lung Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Lung Hsieh. A scholar is included among the top collaborators of Hui‐Lung Hsieh 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 Hui‐Lung Hsieh. Hui‐Lung Hsieh 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.
2.
Hsieh, Hui‐Lung, et al.. (2022). Determinants of Telehealth Continuance Intention: A Multi-Perspective Framework. Healthcare. 10(10). 2038–2038. 17 indexed citations
3.
Hsieh, Hui‐Lung, et al.. (2016). A Study of Personal Health Record User’s Behavioral Model Based on the PMT and UTAUT Integrative Perspective. International Journal of Environmental Research and Public Health. 14(1). 8–8. 71 indexed citations
4.
Hsieh, Hui‐Lung, et al.. (2015). Factors affecting success of an integrated community-based telehealth system. Technology and Health Care. 23(2_suppl). S189–S196. 18 indexed citations
5.
Tsai, Chung-Hung, et al.. (2013). Applying health belief model to explore the adoption of telecare. 269–272. 3 indexed citations
6.
Hsieh, Hui‐Lung, et al.. (2013). An E mpirical S tudy to Explore the Adoption of Tele health: Health Belief Model Perspective. Journal of Engineering Science and Technology Review. 6(2). 1–5. 14 indexed citations
7.
Wall, Stephen, et al.. (2003). Racial Disparity in Meconium-Stained Amniotic Fluid and Meconium Aspiration Syndrome in the United States, 1989–2000. Obstetrics and Gynecology. 102(6). 1262–1268. 11 indexed citations
8.
Lee, Kwang‐Sun, et al.. (1999). Trend in mortality from respiratory distress syndrome in the United States, 1970-1995. The Journal of Pediatrics. 134(4). 434–440. 42 indexed citations
9.
Lee, Kwang‐Sun, et al.. (1999). RELATIONSHIP OF CESAREAN DELIVERY TO LOWER BIRTH WEIGHT–SPECIFIC NEONATAL MORTALITY IN SINGLETON BREECH INFANTS IN THE UNITED STATES. Obstetrics and Gynecology. 93(4). 630–631. 6 indexed citations
10.
Khoshnood, Babak, et al.. (1999). Effect of Short (< 12 months) Interpregnancy Intervals on the Risk of Cause-Specific Infant Mortality Rates in the US. Pediatric Research. 45(4, Part 2 of 2). 103A–103A. 1 indexed citations
11.
Khoshnood, Babak, et al.. (1998). Short Interpregnancy Intervals and the Risk of Adverse Birth Outcomes among Five Racial/Ethnic Groups in the United States. American Journal of Epidemiology. 148(8). 798–805. 103 indexed citations
12.
Lee, Kwang‐Sun, et al.. (1997). Mode of delivery influences age-specific, birth weight-specific neonatal mortality in very low birth weight infants. 1194. Pediatric Research. 41. 201–201. 8 indexed citations
13.
14.
Lee, Kwang‐Sun, et al.. (1996). Impact of increased neonatal survival on postneonatal mortality in the United States. Paediatric and Perinatal Epidemiology. 10(4). 423–431. 8 indexed citations
15.
Khoshnood, Babak, et al.. (1996). Models for Determining Cost of Care and Length of Stay in Neonatal Intensive Care Units. International Journal of Technology Assessment in Health Care. 12(1). 62–71. 14 indexed citations
16.
Khoshnood, Babak, et al.. (1995). Outcome of Very Low Birth Weight Infants in Industrialized Countries: 1947–1987. American Journal of Epidemiology. 141(12). 1188–1193. 51 indexed citations
17.
Herschel, Marguerite, Hui‐Lung Hsieh, Robert Mittendorf, et al.. (1995). Fetal Death in a Population of Black Women. American Journal of Preventive Medicine. 11(3). 185–189. 9 indexed citations
18.
Lee, Kwang‐Sun, et al.. (1995). Which birthweight groups contributed most to the overall reduction in the neonatal mortality rate in the United States from 1960 to 1986?. Paediatric and Perinatal Epidemiology. 9(4). 420–430. 13 indexed citations
19.
Hsieh, Hui‐Lung, David E. Fisher, Darryl M. Bronson, & David F. Fretzin. (1983). Cutis Verticis Gyrata in a Neonate. Pediatric Dermatology. 1(2). 153–156. 10 indexed citations
20.
Hsieh, Hui‐Lung, et al.. (1982). Enzymatic and Immunologic Quantitation of Erythrocyte Superoxide Dismutase in Adults and in Neonates of Different Gestational Ages. Pediatric Research. 16(11). 933–937. 25 indexed citations

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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