Chieh-Jen Wang
- Accounting top 2%
- Artificial Intelligence top 1%
- Finance top 5%
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- Web Data Mining and Analysis 6
- Information Retrieval and Search Behavior 6
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- Cardiac Arrest and Resuscitation 4
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- Thermal Regulation in Medicine 3
- Intensive Care Unit Cognitive Disorders 2
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- COVID-19 Clinical Research Studies 3
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- Respiratory Support and Mechanisms 3
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- Long-Term Effects of COVID-19 3
Chieh-Jen Wang
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Accounting 422
- Artificial Intelligence 923
- Finance 151
- Health Information Management 69
- Computer Vision and Pattern Recognition 261
Countries citing papers authored by Chieh-Jen Wang
This map shows the geographic impact of Chieh-Jen Wang'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-Jen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieh-Jen Wang more than expected).
Fields of papers citing papers by Chieh-Jen Wang
This network shows the impact of papers produced by Chieh-Jen Wang. 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-Jen Wang. The network helps show where Chieh-Jen Wang may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Chieh-Jen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 6 | |
| 8 | 2019 | 9 | |
| 9 | 2013 | 4 | |
| 10 | 2012 | 16 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2012 | 10 | |
| 14 | NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task. | 2011 | 1 |
| 15 | 2011 | 4 | |
| 16 | 2011 | 1 | |
| 17 | 2010 | 4 | |
| 18 | Credit scoring with a data mining approach based on support vector machinesbreakdown → | 2006 | 585 |
| 19 | A GA-based feature selection and parameters optimizationfor support vector machinesbreakdown → | 2005 | 1100 |
About Chieh-Jen Wang
Chieh-Jen Wang is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, Information Systems, Neurology and Computer Science Applications, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (6 papers), Information Retrieval and Search Behavior (6 papers), Cardiac Arrest and Resuscitation (4 papers), Thermal Regulation in Medicine (3 papers), COVID-19 Clinical Research Studies (3 papers), Respiratory Support and Mechanisms (3 papers), Long-Term Effects of COVID-19 (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Accounting (422 citations), Artificial Intelligence (923 citations), Finance (151 citations), Health Information Management (69 citations) and Computer Vision and Pattern Recognition (261 citations). Chieh-Jen Wang has collaborated with scholars based in Taiwan, Japan and Canada. Frequent co-authors include Cheng-Lung Huang, Mu‐Chen Chen, Hsin‐Hsi Chen, Chao‐Hsien Chen, Kevin Lin, Ming-Feng Tsai, Ya‐Hui Wang, Chang-Yi Lin, Fang‐Ju Sun and Cicero Lee‐Tian Chang. Their work appears in journals such as Journal of Clinical Medicine, Expert Systems with Applications, Information Retrieval, Expert Review of Respiratory Medicine and Expert Review of Anti-infective Therapy.
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.