James Yong
Impact in
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- Peer-to-Peer Network Technologies
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Opportunistic and Delay-Tolerant Networks
Papers in
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- Diabetes Management and Research 3
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 1
- Surgery 3
- Pancreatic function and diabetes 2
- Co-authors
- Ben Leong (3 shared papers)Raymond R. Tan (1 shared paper)Fiona Campbell (1 shared paper)Roger Parslow (1 shared paper)Paul Anantharajah Tambyah (1 shared paper)Richard Feltbower (1 shared paper)Wei Tsang Ooi (1 shared paper)Michelle Clarke (1 shared paper)
- Journals
- Diabetic Medicine (2 papers)Archives of Disease in Childhood (1 paper)Singapore Medical Journal (1 paper)European Urology Supplements (1 paper)BMJ Case Reports (1 paper)
- Partner nations
- SingaporeUnited KingdomIran
In The Last Decade
James Yong
10 papers receiving 61 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 43
- Computer Graphics and Computer-Aided Design 3
- Family Practice 1
- Endocrinology, Diabetes and Metabolism 8
- Information Systems 10
Countries citing papers authored by James Yong
This map shows the geographic impact of James Yong'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 James Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Yong more than expected).
Fields of papers citing papers by James Yong
This network shows the impact of papers produced by James Yong. 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 James Yong. The network helps show where James Yong may publish in the future.
Co-authors
The 25 scholars most cited alongside James Yong, 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 | 2007 | 37 | |
| 2 | 2018 | 7 | |
| 3 | Offloading AI for peer-to-peer games with dead reckoning | 2009 | 6 |
| 4 | 2020 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2013 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2014 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2018 | 1 |
About James Yong
James Yong is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Computer Networks and Communications, Genetics and General Health Professions, having authored 10 papers that have together received 63 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Pancreatic function and diabetes (2 papers), Peer-to-Peer Network Technologies (2 papers), Adolescent and Pediatric Healthcare (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Cloud Computing and Resource Management (1 paper), Diabetes and associated disorders (1 paper) and Gambling Behavior and Treatments (1 paper). The work is most often cited by research in Computer Networks and Communications (43 citations), Computer Graphics and Computer-Aided Design (3 citations), Family Practice (1 citation), Endocrinology, Diabetes and Metabolism (8 citations) and Information Systems (10 citations). James Yong has collaborated with scholars based in Singapore, United Kingdom and Iran. Frequent co-authors include Ben Leong, Raymond R. Tan, Fiona Campbell, Roger Parslow, Paul Anantharajah Tambyah, Richard Feltbower, Wei Tsang Ooi, Michelle Clarke, James S. McTaggart and Matthew B. Johnson. Their work appears in journals such as Diabetic Medicine, Archives of Disease in Childhood, Singapore Medical Journal, European Urology Supplements and BMJ Case 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.