Dick Chung
Impact in
-
- Flexible and Reconfigurable Manufacturing Systems
-
- Petri Nets in System Modeling
- Formal Methods in Verification
Papers in
- Oncology 5
- Neutropenia and Cancer Infections 3
- Polyomavirus and related diseases 2
-
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Mu Der Jeng (1 shared paper)Xiaolan Xie (1 shared paper)Yi‐Sheng Huang (1 shared paper)Genovefa A. Papanicolaou (9 shared papers)Ann A. Jakubowski (7 shared papers)Susan K. Seo (3 shared papers)Kent A. Sepkowitz (2 shared papers)Mini Kamboj (2 shared papers)
- Journals
- Biology of Blood and Marrow Transplantation (7 papers)IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (1 paper)Journal of Infection (1 paper)Blood (1 paper)
- Partner nations
- United StatesTaiwanFrance
In The Last Decade
Dick Chung
10 papers receiving 452 citations
Peers
Comparison fields: 5 of 49
- Industrial and Manufacturing Engineering 141
- Computational Theory and Mathematics 178
- Clinical Biochemistry 63
- Hardware and Architecture 59
- Infectious Diseases 139
Countries citing papers authored by Dick Chung
This map shows the geographic impact of Dick Chung'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 Dick Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dick Chung more than expected).
Fields of papers citing papers by Dick Chung
This network shows the impact of papers produced by Dick Chung. 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 Dick Chung. The network helps show where Dick Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Dick Chung, 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 | 2006 | 179 | |
| 2 | 2010 | 93 | |
| 3 | 2012 | 50 | |
| 4 | 2014 | 41 | |
| 5 | 2014 | 29 | |
| 6 | 2016 | 28 | |
| 7 | 2014 | 21 | |
| 8 | 2009 | 18 | |
| 9 | 2013 | 1 | |
| 10 | 2008 | 1 |
About Dick Chung
Dick Chung is a scholar working on Oncology, Epidemiology, Infectious Diseases, Hematology and Immunology, having authored 10 papers that have together received 461 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Neutropenia and Cancer Infections (3 papers), Parvovirus B19 Infection Studies (2 papers), Polyomavirus and related diseases (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Real-Time Systems Scheduling (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (141 citations), Computational Theory and Mathematics (178 citations), Clinical Biochemistry (63 citations), Hardware and Architecture (59 citations) and Infectious Diseases (139 citations). Dick Chung has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Mu Der Jeng, Xiaolan Xie, Yi‐Sheng Huang, Genovefa A. Papanicolaou, Ann A. Jakubowski, Susan K. Seo, Kent A. Sepkowitz, Mini Kamboj, Eric G. Pamer and Sergio Giralt. Their work appears in journals such as Biology of Blood and Marrow Transplantation, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Journal of Infection and Blood.
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.