Feng‐Jung Yang

448 total citations
26 papers, 284 citations indexed

About

Feng‐Jung Yang is a scholar working on Epidemiology, Nephrology and Infectious Diseases. According to data from OpenAlex, Feng‐Jung Yang has authored 26 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Nephrology and 5 papers in Infectious Diseases. Recurrent topics in Feng‐Jung Yang's work include Dialysis and Renal Disease Management (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Feng‐Jung Yang is often cited by papers focused on Dialysis and Renal Disease Management (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Feng‐Jung Yang collaborates with scholars based in Taiwan, South Sudan and United States. Feng‐Jung Yang's co-authors include Bor‐Wen Cheng, Hui‐Chin Yeh, Su-Hua Huang, Kai-Hsiang Shu, Szu‐Yu Pan, Yi‐Fang Chuang, Chia‐Lin Hsu, Yen‐Ling Chiu, Vin‐Cent Wu and Jann‐Yuan Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Feng‐Jung Yang

23 papers receiving 275 citations

Peers

Feng‐Jung Yang

EPIDE

NEPHR

SURGE

IMMUN

Marcel G. Naik Germany

Weng Kin Wong Singapore

Bilgin Osmanodja Germany

Sana Waheed United States

Fabiana Agena Brazil

Patricia P. Wadowski Austria

Ivana Lapić Croatia

Francisco Javier Carrasco-Sánchez Spain

Munna Lal Patel India

Manuel Mayrdorfer Germany

Marcel G. Naik Germany

Feng‐Jung Yang

66 ×0.8

EPIDE

64 ×1.0

NEPHR

55 ×0.9

126 ×2.6

SURGE

39 ×1.0

IMMUN

Citations per year, relative to Feng‐Jung Yang Feng‐Jung Yang (= 1×) peers Marcel G. Naik

Countries citing papers authored by Feng‐Jung Yang

Since Specialization

Citations

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

Fields of papers citing papers by Feng‐Jung Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Jung Yang. 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 Feng‐Jung Yang. The network helps show where Feng‐Jung Yang may publish in the future.

Co-authorship network of co-authors of Feng‐Jung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Jung Yang. A scholar is included among the top collaborators of Feng‐Jung Yang 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 Feng‐Jung Yang. Feng‐Jung Yang 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

Huang, Yung‐Cheng, Liyu Chen, Yi‐Hsuan Yang, et al.. (2024). Low Urbanization but Not Illiteracy was Associated with Poor Medication Adherence among Elderly People in Rural Taiwan. International Journal of Clinical Practice. 2024(1). 1 indexed citations

Lin, Cheng‐Jui, et al.. (2024). Insights of Fabry disease: Expert consensus approach for screening, diagnosis, and multidisciplinary management in chronic kidney disease. Journal of the Formosan Medical Association. 124(9). 794–799.

Huang, Su-Hua, et al.. (2024). Digital health interventions to promote healthy lifestyle in hemodialysis patients: an interventional pilot study. Scientific Reports. 14(1). 2849–2849. 5 indexed citations

Hsueh, Hsueh‐Wen, Wen‐Chin Weng, Pi‐Chuan Fan, et al.. (2022). The diversity of hereditary neuromuscular diseases: Experiences from molecular diagnosis. Journal of the Formosan Medical Association. 121(12). 2574–2583. 2 indexed citations

Yang, Feng‐Jung, et al.. (2022). A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images. Computer Methods and Programs in Biomedicine. 221. 106861–106861. 14 indexed citations

Lin, Frank Yeong‐Sung, et al.. (2022). A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images. Computer Methods and Programs in Biomedicine. 221. 106854–106854. 37 indexed citations

Kuo, Kuang-Ming, I‐Chiu Chang, Chih‐Ming Chen, & Feng‐Jung Yang. (2022). Antecedents and consequences of shared decision making for patients with chronic kidney diseases: A cross-sectional survey. International Journal of Medical Informatics. 168. 104898–104898. 3 indexed citations

Yang, Feng‐Jung, et al.. (2021). Serum neutrophil gelatinase-associated lipocalin as a potential biomarker of diabetic kidney disease in patients with childhood-onset type 1 diabetes. Journal of the Formosan Medical Association. 121(4). 832–840. 7 indexed citations

Chiu, Fu‐Chun, et al.. (2020). Mobile Health App With Social Media to Support Self-Management for Patients With Chronic Kidney Disease: Prospective Randomized Controlled Study. Journal of Medical Internet Research. 22(12). e19452–e19452. 50 indexed citations

10.

Yang, Feng‐Jung, et al.. (2020). Lymphovenous Anastomosis for Treating Lymphedema in IgG4-Related Disease. Plastic & Reconstructive Surgery Global Open. 8(9). e3111–e3111.

11.

Yang, Feng‐Jung, Kai-Hsiang Shu, Szu‐Yu Pan, et al.. (2020). Plasma Leucine-Rich α-2-Glycoprotein 1 Predicts Cardiovascular Disease Risk in End-Stage Renal Disease. Scientific Reports. 10(1). 5988–5988. 22 indexed citations

12.

Yang, Feng‐Jung, et al.. (2020). The Impact of a Social Networking Service–Enhanced Smart Care Model on Stage 5 Chronic Kidney Disease: Quasi-Experimental Study. Journal of Medical Internet Research. 22(4). e15565–e15565. 5 indexed citations

13.

Chiu, Yen‐Ling, Wan‐Chuan Tsai, Kai-Hsiang Shu, et al.. (2020). Emergence of T cell immunosenescence in diabetic chronic kidney disease. Immunity & Ageing. 17(1). 31–31. 19 indexed citations

14.

Yang, Feng‐Jung, Kai-Hsiang Shu, Hung‐Yuan Chen, et al.. (2018). Anti-cytomegalovirus IgG antibody titer is positively associated with advanced T cell differentiation and coronary artery disease in end-stage renal disease. Immunity & Ageing. 15(1). 15–15. 22 indexed citations

15.

Yang, Feng‐Jung, et al.. (2018). A Semi-Automatic Mechanism Used In The Peritoneal Dialysis Connection. Zenodo (CERN European Organization for Nuclear Research). 12(3). 343–347.

16.

Shu, Chin‐Chung, Chia‐Lin Hsu, Yufeng Wei, et al.. (2016). Risk of Tuberculosis Among Patients on Dialysis. Medicine. 95(22). e3813–e3813. 16 indexed citations

17.

Shu, Chin‐Chung, Chia‐Lin Hsu, Chih‐Yuan Lee, et al.. (2016). Inflammatory markers and clinical characteristics for predicting persistent positivity of interferon gamma release assay in dialysis population. Scientific Reports. 6(1). 34577–34577. 4 indexed citations

18.

Wu, Hon‐Yen, Feng‐Jung Yang, Pei‐Chen Wu, et al.. (2016). Proteinuria as a Therapeutic Target in Advanced Chronic Kidney Disease: a Retrospective Multicenter Cohort Study. Scientific Reports. 6(1). 26539–26539. 16 indexed citations

19.

Chou, Yu‐Hsiang, Yen‐Fu Chen, Szu‐Yu Pan, et al.. (2015). The role of brain natriuretic peptide in predicting renal outcome and fluid management in critically ill patients. Journal of the Formosan Medical Association. 114(12). 1187–1196. 13 indexed citations

20.

Wang, Pei‐Yu, Huiwen Chang, & Feng‐Jung Yang. (2014). The Effect of Text-tracking Design on 4 th Graders’ Reading of e-Books. 2(5). 1 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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