Wen‐Hung Chen

1.2k total citations
18 papers, 860 citations indexed

About

Wen‐Hung Chen is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Wen‐Hung Chen has authored 18 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Rheumatology. Recurrent topics in Wen‐Hung Chen's work include Lysosomal Storage Disorders Research (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Wen‐Hung Chen is often cited by papers focused on Lysosomal Storage Disorders Research (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Wen‐Hung Chen collaborates with scholars based in United States, United Kingdom and Switzerland. Wen‐Hung Chen's co-authors include David Thissen, Paul Jones, Dennis A. Revicki, Kathleen W. Wyrwich, William R. Lenderking, Ying Jin, Heather L. Gelhorn, Ingela Wiklund, Mireia Raluy-Callado and Teresa K. Wilcox and has published in prestigious journals such as Gastroenterology, CHEST Journal and Quality of Life Research.

In The Last Decade

Wen‐Hung Chen

17 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Hung Chen United States 12 255 208 122 113 80 18 860
J. Jason Lundy United States 11 66 0.3× 85 0.4× 23 0.2× 111 1.0× 93 1.2× 19 1.1k
Laura Flight United Kingdom 12 63 0.2× 62 0.3× 90 0.7× 63 0.6× 71 0.9× 28 1.2k
Robert Quinn United States 21 133 0.5× 258 1.2× 10 0.1× 44 0.4× 26 0.3× 90 1.6k
Steve P. Reise United States 10 26 0.1× 50 0.2× 261 2.1× 263 2.3× 155 1.9× 12 1.4k
Leo M. Harvill United States 14 107 0.4× 62 0.3× 18 0.1× 92 0.8× 90 1.1× 22 1.0k
Mathilde G. E. Verdam Netherlands 18 73 0.3× 43 0.2× 35 0.3× 88 0.8× 88 1.1× 54 832
Janine Becker Germany 9 35 0.1× 21 0.1× 120 1.0× 175 1.5× 74 0.9× 10 789
Leslie Taylor United States 19 152 0.6× 75 0.4× 20 0.2× 103 0.9× 72 0.9× 87 1.6k
Dafina Petrova Spain 21 63 0.2× 87 0.4× 31 0.3× 147 1.3× 48 0.6× 82 1.3k
Thomas O. Maguire Canada 17 145 0.6× 19 0.1× 55 0.5× 162 1.4× 180 2.3× 49 1.2k

Countries citing papers authored by Wen‐Hung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Hung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Hung Chen. 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 Wen‐Hung Chen. The network helps show where Wen‐Hung Chen may publish in the future.

Co-authorship network of co-authors of Wen‐Hung Chen

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

All Works

18 of 18 papers shown
1.
Creagh, Andrew P., Valentin Hamy, Hang Yuan, et al.. (2024). Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digital Medicine. 7(1). 33–33. 24 indexed citations
3.
Globe, Gary, Ingela Wiklund, Wen‐Hung Chen, et al.. (2015). Psychometric Properties of the Asthma Symptom Diary (ASD), a Diary for Use in Clinical Trials of Persistent Asthma. The Journal of Allergy and Clinical Immunology In Practice. 4(1). 60–66.e4. 16 indexed citations
5.
Revicki, Dennis A., Wen‐Hung Chen, & Carole A. Tucker. (2014). Developing Item Banks for Patient-Reported Health Outcomes. 352–381. 11 indexed citations
6.
DeWitt, Esi Morgan, Kimberly A. Barnett, Jennifer Farrell, et al.. (2014). A164: Development of Pediatric Item Banks to Measure Pain Behavior in the Patient Reported Outcomes Measurement Information System. Arthritis & Rheumatology. 66(S3). 3 indexed citations
7.
Chen, Wen‐Hung, William R. Lenderking, Ying Jin, et al.. (2013). Is Rasch model analysis applicable in small sample size pilot studies for assessing item characteristics? An example using PROMIS pain behavior item bank data. Quality of Life Research. 23(2). 485–493. 133 indexed citations
8.
Wilcox, Teresa K., Wen‐Hung Chen, Kellee Howard, et al.. (2013). Item selection, reliability and validity of the Shortness of Breath with Daily Activities (SOBDA) questionnaire: a new outcome measure for evaluating dyspnea in chronic obstructive pulmonary disease. Health and Quality of Life Outcomes. 11(1). 196–196. 14 indexed citations
9.
Raluy-Callado, Mireia, Wen‐Hung Chen, David Whiteman, Juanzhi Fang, & Ingela Wiklund. (2013). The impact of Hunter syndrome (mucopolysaccharidosis type II) on health-related quality of life. Orphanet Journal of Rare Diseases. 8(1). 101–101. 51 indexed citations
10.
Wiklund, Ingela, et al.. (2012). The Hunter Syndrome-Functional Outcomes for Clinical Understanding Scale (HS-FOCUS) Questionnaire: evaluation of measurement properties. Quality of Life Research. 22(4). 875–884. 13 indexed citations
11.
Notte, Sherilyn M., Thomas S. Marshall, Misun Lee, et al.. (2012). Content validity and test-retest reliability of patient perception of intensity of urgency scale (PPIUS) for overactive bladder. BMC Urology. 12(1). 26–26. 40 indexed citations
12.
Ramaswami, Uma, Donald E. Stull, Rossella Parini, et al.. (2012). Measuring patient experiences in Fabry disease: validation of the Fabry-specific Pediatric Health and Pain Questionnaire (FPHPQ). Health and Quality of Life Outcomes. 10(1). 116–116. 36 indexed citations
13.
Erder, M. Haim, Teresa K. Wilcox, Wen‐Hung Chen, et al.. (2012). A New Measure of Caregiver Burden in Alzheimer’s Disease. American Journal of Alzheimer s Disease & Other Dementias®. 27(7). 474–482. 9 indexed citations
14.
Jones, Paul, et al.. (2011). Creating scenarios of the impact of copd and their relationship to copd assessment test (CAT™) scores. BMC Pulmonary Medicine. 11(1). 42–42. 189 indexed citations
15.
Jones, Paul, Wen‐Hung Chen, Teresa K. Wilcox, Sanjay Sethi, & Nancy Kline Leidy. (2010). Characterizing and Quantifying the Symptomatic Features of COPD Exacerbations. CHEST Journal. 139(6). 1388–1394. 62 indexed citations
16.
Revicki, Dennis A., Wen‐Hung Chen, Lori Frank, Douglas E. Feltner, & Robert Morlock. (2010). Development and Analysis of Item Response Theory-based Short-form Depression Severity Scales Based on the HDRS and MADRS. 1(2). e111–e122. 3 indexed citations
17.
Chen, Wen‐Hung & David Thissen. (1999). Estimation of item parameters for the three‐parameter logistic model using the marginal likelihood of summed scores. British Journal of Mathematical and Statistical Psychology. 52(1). 19–37. 10 indexed citations
18.
Chen, Wen‐Hung & David Thissen. (1997). Local Dependence Indexes for Item Pairs Using Item Response Theory. Journal of Educational and Behavioral Statistics. 22(3). 265–265. 242 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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