Haipeng Shen
Impact in
- Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
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- Statistical Methods and Inference 14
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- Advanced Queuing Theory Analysis 20
Haipeng Shen
73 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Health Informatics 1.1k
- Health Information Management 463
- Management Information Systems 640
- Statistics and Probability 369
- Computational Mathematics 21
Countries citing papers authored by Haipeng Shen
This map shows the geographic impact of Haipeng Shen'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 Haipeng Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Shen more than expected).
Fields of papers citing papers by Haipeng Shen
This network shows the impact of papers produced by Haipeng Shen. 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 Haipeng Shen. The network helps show where Haipeng Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Haipeng Shen, 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 | 7 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 13 | |
| 5 | 2019 | 3 | |
| 6 | Artificial intelligence in healthcare: past, present and future Hit paper breakdown → | 2017 | 2453 |
| 7 | 2016 | 11 | |
| 8 | Modeling and forecasting call center arrivals: A literature survey and a case study | 2015 | 0 |
| 9 | 2015 | 14 | |
| 10 | 2015 | 19 | |
| 11 | 2014 | 5 | |
| 12 | 2013 | 14 | |
| 13 | 2013 | 57 | |
| 14 | 2007 | 26 | |
| 15 | 2006 | 27 | |
| 16 | Analysis of call centre arrival data using singular value decomposition: Research Articles | 2005 | 1 |
| 17 | Characterizing the duration and association patterns of wireless access in a campus | 2005 | 44 |
| 18 | 2005 | 34 | |
| 19 | Nonparametric Regression and Confidence Bands with Lognormal Errors and Application to Bank Call Center Data | 2005 | 0 |
| 20 | Nonparametric regression for problems involving lognormal distributions | 2003 | 3 |
About Haipeng Shen
Haipeng Shen is a scholar working on Statistics and Probability, Management Information Systems, Emergency Medical Services, Transportation and Health Informatics, having authored 85 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (20 papers), Statistical Methods and Inference (14 papers), Acute Ischemic Stroke Management (11 papers), Bayesian Methods and Mixture Models (8 papers), Wireless Communication Networks Research (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Healthcare Operations and Scheduling Optimization (6 papers) and Wireless Networks and Protocols (6 papers). The work is most often cited by research in Health Informatics (1.1k citations), Health Information Management (463 citations), Management Information Systems (640 citations), Statistics and Probability (369 citations) and Computational Mathematics (21 citations). Haipeng Shen has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Hao Li, Yilong Wang, Yongjun Wang, Yi Dong, Qiang Dong, Yong Jiang, Hui Zhi, Fei Jiang, Jianhua Z. Huang and Noah Gans. Their work appears in journals such as Journal of the American Statistical Association, Stroke and Vascular Neurology, Journal of Computational and Graphical Statistics, Statistica Sinica and Stroke.
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.