Won Chul Cha
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Emergency Medicine top 2%
- Emergency and Acute Care Studies
- Cardiac Arrest and Resuscitation
- Trauma and Emergency Care Studies
Papers in
-
- Emergency and Acute Care Studies 9
- Cardiac Arrest and Resuscitation 8
- Trauma and Emergency Care Studies 5
-
- Electronic Health Records Systems 15
- Co-authors
- Junsang Yoo (11 shared papers)Dong Kyung Chang (10 shared papers)Sang Do Shin (9 shared papers)Sung Yeon Hwang (28 shared papers)Ki Ok Ahn (4 shared papers)Tae Gun Shin (28 shared papers)Hee Jo Yoon (25 shared papers)Ik Joon Jo (23 shared papers)
- Journals
- JMIR mhealth and uhealth (11 papers)Journal of Korean Medical Science (11 papers)Applied Sciences (4 papers)Journal of Medical Internet Research (4 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Won Chul Cha
82 papers receiving 978 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 113
- Emergency Medicine 209
- Health Information Management 169
- Critical Care and Intensive Care Medicine 58
- Emergency Medical Services 42
Countries citing papers authored by Won Chul Cha
This map shows the geographic impact of Won Chul Cha'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 Won Chul Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Chul Cha more than expected).
Fields of papers citing papers by Won Chul Cha
This network shows the impact of papers produced by Won Chul Cha. 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 Won Chul Cha. The network helps show where Won Chul Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Chul Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 83 | |
| 2 | 2011 | 66 | |
| 3 | 2021 | 41 | |
| 4 | 2020 | 39 | |
| 5 | 2016 | 36 | |
| 6 | 2020 | 33 | |
| 7 | 2018 | 31 | |
| 8 | 2018 | 30 | |
| 9 | 2021 | 28 | |
| 10 | 2018 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2024 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 2022 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2020 | 17 |
About Won Chul Cha
Won Chul Cha is a scholar working on Emergency Medicine, Health Information Management, Health Informatics, Critical Care and Intensive Care Medicine and Emergency Medical Services, having authored 93 papers that have together received 1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (15 papers), Machine Learning in Healthcare (9 papers), Emergency and Acute Care Studies (9 papers), Cardiac Arrest and Resuscitation (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Sepsis Diagnosis and Treatment (6 papers), Trauma and Emergency Care Studies (5 papers) and Ultrasound in Clinical Applications (4 papers). The work is most often cited by research in Health Informatics (113 citations), Emergency Medicine (209 citations), Health Information Management (169 citations), Critical Care and Intensive Care Medicine (58 citations) and Emergency Medical Services (42 citations). Won Chul Cha has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Junsang Yoo, Dong Kyung Chang, Sang Do Shin, Sung Yeon Hwang, Ki Ok Ahn, Tae Gun Shin, Hee Jo Yoon, Ik Joon Jo, Taerim Kim and Kyunga Kim. Their work appears in journals such as JMIR mhealth and uhealth, Journal of Korean Medical Science, Applied Sciences, Journal of Medical Internet Research and Scientific Reports.
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.