Shucai Xiao
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Wu-chun FengQin ZhangYunfeng ShenXiaojuan JiaoHeshan LinAshwin M. AjiRajeev ThakurPavan Balaji
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Advanced Data Storage Technologies (5 papers)Distributed and Parallel Computing Systems (4 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsEndocrinology, Diabetes and Metabolism
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Shucai Xiao
18 papers receiving 669 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Networks and Communications 252
- Hardware and Architecture 233
- Endocrinology, Diabetes and Metabolism 156
- Epidemiology 130
- Cardiology and Cardiovascular Medicine 106
Countries citing papers authored by Shucai Xiao
This map shows the geographic impact of Shucai Xiao'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 Shucai Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shucai Xiao more than expected).
Fields of papers citing papers by Shucai Xiao
This network shows the impact of papers produced by Shucai Xiao. 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 Shucai Xiao. The network helps show where Shucai Xiao may publish in the future.
Co-authorship network of co-authors of Shucai Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Shucai Xiao. A scholar is included among the top collaborators of Shucai Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shucai Xiao. Shucai Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | The triglyceride-glucose index is a predictor for cardiovascular and all-cause mortality in CVD patients with diabetes or pre-diabetes: evidence from NHANES 2001–2018breakdown → | 237 |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 54 | |
| 14 | 26 | |
| 15 | 21 | |
| 16 | 38 | |
| 17 | 189 | |
| 18 | 33 | |
| 19 | 14 |
About Shucai Xiao
Shucai Xiao is a scholar working on Hardware and Architecture, Computer Networks and Communications and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 687 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Hardware and Architecture (233 citations), Computer Networks and Communications (252 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Shucai Xiao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wu-chun Feng, Qin Zhang, Yunfeng Shen, Xiaojuan Jiao, Heshan Lin, Ashwin M. Aji, Rajeev Thakur, Pavan Balaji, Susan Coghlan and Qian Zhu. Their work appears in journals such as Scientific Reports, Journal of the American Heart Association and Cardiovascular Diabetology.
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.