Chieh-Chen Wu

32 papers receiving 1.1k citations

Peers

Chieh-Chen Wu
Comparison fields: 5 of 141
  • Health Information Management 177
  • Health Informatics 48
  • Family Practice 24
  • Epidemiology 241
  • Biological Psychiatry 14
Replace Nathalie Conrad with:
Nathalie Conrad United Kingdom
Phung‐Anh Nguyen Taiwan
Tahmina Nasrin Poly Taiwan
Quinn S. Wells United States
Seng Chan You South Korea
Haijiang Dai China
Kershaw V. Patel United States
Lilly Q. Yue United States
Martin Thoenes Germany
Chieh-Chen Wu relative to Nathalie Conrad United Kingdom Nathalie Conrad's profile →
Citations per field
00.5×2.8×
Nathalie Conrad · 1×
Citations per year

Countries citing papers authored by Chieh-Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chieh-Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chieh-Chen Wu. 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 Chieh-Chen Wu. The network helps show where Chieh-Chen Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chieh-Chen Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chieh-Chen Wu Line = papers co-authored together Chieh-Chen Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018244
2 2018180
3 2000105
4 201989
5 201866
6 201954
7 202148
8 201842
9 202141
10 201539
11 201829
12 202219
13 202417
14 201917
15 201617
16 202216
17 202115
18 202314
19 202214
20 202313

About Chieh-Chen Wu

Chieh-Chen Wu is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Immunology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Cutaneous Melanoma Detection and Management (2 papers), Sepsis Diagnosis and Treatment (2 papers), Acute Myocardial Infarction Research (2 papers), Dementia and Cognitive Impairment Research (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Iron Metabolism and Disorders (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Information Management (177 citations), Health Informatics (48 citations), Family Practice (24 citations), Epidemiology (241 citations) and Biological Psychiatry (14 citations). Chieh-Chen Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Md. Mohaimenul Islam, Yu‐Chuan Li, Hsuan‐Chia Yang, Yao‐Chin Wang, Tahmina Nasrin Poly, John Schaum, Bruno Walther, Phung‐Anh Nguyen, Wen‐Chun Yeh and Woon‐Man Kung. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Journal of Multidisciplinary Healthcare, Journal of Clinical Medicine, Neuroepidemiology and Behavioural Neurology.

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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