Tzu‐Chun Hsu

591 total citations
22 papers, 364 citations indexed

About

Tzu‐Chun Hsu is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tzu‐Chun Hsu has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 9 papers in Critical Care and Intensive Care Medicine and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tzu‐Chun Hsu's work include Sepsis Diagnosis and Treatment (15 papers), Nosocomial Infections in ICU (5 papers) and Neonatal and Maternal Infections (5 papers). Tzu‐Chun Hsu is often cited by papers focused on Sepsis Diagnosis and Treatment (15 papers), Nosocomial Infections in ICU (5 papers) and Neonatal and Maternal Infections (5 papers). Tzu‐Chun Hsu collaborates with scholars based in Taiwan, United States and Italy. Tzu‐Chun Hsu's co-authors include Chien‐Chang Lee, Wan‐Ting Hsu, Meng-tse Gabriel Lee, Chun-Rong Huang, Shy-Shin Chang, Chia‐Hung Yo, Gregory M. Schrank, Si-Huei Lee, Matthew Lee and Szu‐Ta Chen and has published in prestigious journals such as Scientific Reports, CHEST Journal and Hypertension.

In The Last Decade

Tzu‐Chun Hsu

22 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tzu‐Chun Hsu Taiwan	12	188	87	70	66	55	22	364
Basharat Kasana India	5	208 1.1×	86 1.0×	71 1.0×	28 0.4×	53 1.0×	7	415
Vicent Ribas Spain	15	217 1.2×	134 1.5×	44 0.6×	178 2.7×	116 2.1×	38	673
Taeyoung Kong South Korea	11	116 0.6×	74 0.9×	33 0.5×	31 0.5×	31 0.6×	31	277
Samson Mataraso United States	10	218 1.2×	52 0.6×	26 0.4×	50 0.8×	54 1.0×	22	559
Tezcan Ozrazgat Baslanti United States	11	115 0.6×	130 1.5×	90 1.3×	99 1.5×	51 0.9×	18	417
Max Horn Switzerland	9	207 1.1×	60 0.7×	15 0.2×	57 0.9×	29 0.5×	17	507
Heng Gan Canada	8	79 0.4×	171 2.0×	77 1.1×	84 1.3×	52 0.9×	18	390
Giorgio Da Rin Italy	15	75 0.4×	117 1.3×	18 0.3×	48 0.7×	47 0.9×	52	786
Junyu Wang China	8	188 1.0×	51 0.6×	45 0.6×	21 0.3×	19 0.3×	23	316

Countries citing papers authored by Tzu‐Chun Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Tzu‐Chun Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu‐Chun Hsu. 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 Tzu‐Chun Hsu. The network helps show where Tzu‐Chun Hsu may publish in the future.

Co-authorship network of co-authors of Tzu‐Chun Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu‐Chun Hsu. A scholar is included among the top collaborators of Tzu‐Chun Hsu 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 Tzu‐Chun Hsu. Tzu‐Chun Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hsu, Tzu‐Chun, et al.. (2023). Video Summarization With Spatiotemporal Vision Transformer. IEEE Transactions on Image Processing. 32. 3013–3026. 30 indexed citations

Hsu, Tzu‐Chun, et al.. (2022). Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach. Journal of Medical Internet Research. 24(4). e29982–e29982. 15 indexed citations

Dou, Qingli, Jiangping Liu, Wenwu Zhang, et al.. (2022). Dynamic changes in heparin-binding protein as a prognostic biomarker for 30-day mortality in sepsis patients in the intensive care unit. Scientific Reports. 12(1). 10751–10751. 13 indexed citations

Hsu, Wan‐Ting, et al.. (2021). Risk of out-of-hospital cardiac arrest among sepsis survivors in Taiwan: analysis of a nationwide population-based cohort. BMJ Open. 11(9). e051502–e051502. 2 indexed citations

Liu, Michael A., Brianna R. Bakow, Tzu‐Chun Hsu, et al.. (2021). Temporal Trends in Sepsis Incidence and Mortality in Patients With Cancer in the US Population. American Journal of Critical Care. 30(4). e71–e79. 14 indexed citations

Qian, Frank, Wan‐Ting Hsu, Ye Liu, et al.. (2021). In-hospital Cardiac Arrest in Patients With Sepsis: A National Cohort Study. Frontiers in Medicine. 8. 731266–731266. 3 indexed citations

Yo, Chia‐Hung, et al.. (2021). Comparing mortality between positive and negative blood culture results: an inverse probability of treatment weighting analysis of a multicenter cohort. BMC Infectious Diseases. 21(1). 182–182. 8 indexed citations

Chen, Yueh‐Sheng, et al.. (2020). Temporal trend and survival impact of infection source among patients with sepsis: a nationwide study. Critical Care and Resuscitation. 22(2). 126–132. 7 indexed citations

Lee, Meng-tse Gabriel, et al.. (2019). Fluoroquinolone use and serious arrhythmias: A nationwide case-crossover study. Resuscitation. 139. 262–268. 3 indexed citations

10.

Hsieh, Ronan W., Tzu‐Chun Hsu, Matthew Lee, et al.. (2019). Comparison of type B dissection by open, endovascular, and medical treatments. Journal of Vascular Surgery. 70(6). 1792–1800.e3. 20 indexed citations

11.

Yo, Chia‐Hung, Chih‐Cheng Lai, Tzu‐Chun Hsu, et al.. (2019). National Trends of Organ Dysfunctions in Sepsis:An 11-Year Longitudinal Population-Based Cohort Study.. PubMed. 9(4). 178–188. 5 indexed citations

12.

Hsu, Wan‐Ting, et al.. (2019). Effect of Renin-Angiotensin-Aldosterone System Inhibitors on Short-Term Mortality After Sepsis. Hypertension. 75(2). 483–491. 52 indexed citations

13.

Yo, Chia‐Hung, Tzu‐Chun Hsu, Po‐Yang Tsou, et al.. (2018). Trend and outcome of sepsis in children: A nationwide cohort study. Journal of Paediatrics and Child Health. 54(7). 776–783. 5 indexed citations

14.

Lai, Chih‐Cheng, et al.. (2018). Susceptible period for cardiovascular complications in patients recovering from sepsis. Canadian Medical Association Journal. 190(36). E1062–E1069. 16 indexed citations

15.

Lee, Si-Huei, et al.. (2018). Nationwide Trend of Sepsis: A Comparison Among Octogenarians, Elderly, and Young Adults. Critical Care Medicine. 46(6). 926–934. 35 indexed citations

16.

Lee, Chien‐Chang, Chih‐Cheng Lai, Tzu‐Chun Hsu, et al.. (2017). Preadmission statin use improves the outcome of less severe sepsis patients - a population-based propensity score matched cohort study. British Journal of Anaesthesia. 119(4). 645–654. 16 indexed citations

17.

Chen, Szu‐Ta, Meng‐Che Wu, Tzu‐Chun Hsu, et al.. (2017). Comparison of outcome and cost among open, laparoscopic, and robotic surgical treatments for rectal cancer: A propensity score matched analysis of nationwide inpatient sample data. Journal of Surgical Oncology. 117(3). 497–505. 28 indexed citations

18.

Lee, Chien‐Chang, Chia‐Hung Yo, Meng-tse Gabriel Lee, et al.. (2017). Adult sepsis – A nationwide study of trends and outcomes in a population of 23 million people. Journal of Infection. 75(5). 409–419. 30 indexed citations

19.

Lee, Chien‐Chang, Meng-tse Gabriel Lee, Tzu‐Chun Hsu, et al.. (2017). A Population-Based Cohort Study on the Drug-Specific Effect of Statins on Sepsis Outcome. CHEST Journal. 153(4). 805–815. 46 indexed citations

20.

Hsu, Tzu‐Chun, et al.. (2011). New watermark-removal method based on Eigen-image energy. IET Information Security. 5(1). 43–50. 5 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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