Chung Chen
Impact in
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- Regulation of Appetite and Obesity
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models
Papers in
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- Regulation of Appetite and Obesity 14
-
- Forecasting Techniques and Applications 5
- Co-authors
- Lon‐Mu Liu (3 shared papers)George C. Tiao (2 shared papers)Andrew C. Harvey (1 shared paper)Michael M. Meguid (22 shared papers)Eduardo J.B. Ramos (12 shared papers)Yimin Zhang (2 shared papers)Susumu Suzuki (8 shared papers)Undurti Narasimha Das (7 shared papers)
- Journals
- Surgery (5 papers)Journal of the American Statistical Association (3 papers)Nutrition (3 papers)Neuroreport (2 papers)Technometrics (2 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Chung Chen
47 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 163
- Endocrine and Autonomic Systems 241
- Statistics and Probability 326
- General Economics, Econometrics and Finance 236
- Finance 263
- Signal Processing 174
Countries citing papers authored by Chung Chen
This map shows the geographic impact of Chung 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 Chung Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung Chen more than expected).
Fields of papers citing papers by Chung Chen
This network shows the impact of papers produced by Chung 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 Chung Chen. The network helps show where Chung Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chung Chen, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 533 | |
| 2 | 1988 | 464 | |
| 3 | 1991 | 371 | |
| 4 | 1995 | 184 | |
| 5 | 2003 | 124 | |
| 6 | 1993 | 122 | |
| 7 | 2005 | 110 | |
| 8 | 1990 | 102 | |
| 9 | 2004 | 69 | |
| 10 | 1996 | 66 | |
| 11 | 2004 | 64 | |
| 12 | 2007 | 64 | |
| 13 | 2009 | 54 | |
| 14 | 2011 | 52 | |
| 15 | 2003 | 46 | |
| 16 | 1992 | 45 | |
| 17 | 2001 | 44 | |
| 18 | 1997 | 43 | |
| 19 | 2002 | 40 | |
| 20 | 2006 | 39 |
About Chung Chen
Chung Chen is a scholar working on Endocrine and Autonomic Systems, Management Science and Operations Research, Statistics and Probability, Applied Mathematics and Signal Processing, having authored 50 papers that have together received 3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Bariatric Surgery and Outcomes (7 papers), Forecasting Techniques and Applications (5 papers), Statistical and numerical algorithms (4 papers), Time Series Analysis and Forecasting (3 papers), Advanced Statistical Methods and Models (3 papers), Acute Ischemic Stroke Management (2 papers) and Monetary Policy and Economic Impact (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (241 citations), Statistics and Probability (326 citations), General Economics, Econometrics and Finance (236 citations), Finance (263 citations) and Signal Processing (174 citations). Chung Chen has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Lon‐Mu Liu, George C. Tiao, Andrew C. Harvey, Michael M. Meguid, Eduardo J.B. Ramos, Yimin Zhang, Susumu Suzuki, Undurti Narasimha Das, Akio Inui and Zhong‐Jin Yang. Their work appears in journals such as Surgery, Journal of the American Statistical Association, Nutrition, Neuroreport and Technometrics.
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.