Dan Han
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Advanced Database Systems and Queries 3
-
- Software Engineering Research 3
- Cloud Computing and Resource Management 2
- Co-authors
- Eleni Stroulia (5 shared papers)Rajib Paul (3 shared papers)Oluwaseun John Adeyemi (1 shared paper)Ahmed A. Arif (1 shared paper)Yaojian Li (1 shared paper)Shengjun Yan (1 shared paper)Abram Hindle (3 shared papers)Kenny Wong (2 shared papers)
- Journals
- BMC Public Health (2 papers)Chemical Engineering Journal (1 paper)Journal of Visualized Experiments (1 paper)Water Research (1 paper)Journal of Mathematical Biology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Han
35 papers receiving 753 citations
Peers
Comparison fields: 5 of 137
- Modeling and Simulation 50
- Hepatology 76
- Software 40
- Signal Processing 103
- Nephrology 44
Countries citing papers authored by Dan Han
This map shows the geographic impact of Dan Han'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 Dan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Han more than expected).
Fields of papers citing papers by Dan Han
This network shows the impact of papers produced by Dan Han. 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 Dan Han. The network helps show where Dan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Han, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 137 | |
| 2 | 2016 | 115 | |
| 3 | 2012 | 93 | |
| 4 | 1995 | 91 | |
| 5 | 2016 | 88 | |
| 6 | 2021 | 79 | |
| 7 | 2013 | 38 | |
| 8 | 2012 | 24 | |
| 9 | 2015 | 15 | |
| 10 | 2024 | 13 | |
| 11 | 2015 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2025 | 7 | |
| 17 | 2012 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2023 | 4 | |
| 20 | 2014 | 3 |
About Dan Han
Dan Han is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Modeling and Simulation, having authored 37 papers that have together received 788 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Software Engineering Research (3 papers), COVID-19 epidemiological studies (2 papers), Cloud Computing and Resource Management (2 papers), Semiconductor materials and interfaces (2 papers), Advanced Software Engineering Methodologies (2 papers), Graph Theory and Algorithms (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Modeling and Simulation (50 citations), Hepatology (76 citations), Software (40 citations), Signal Processing (103 citations) and Nephrology (44 citations). Dan Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Eleni Stroulia, Rajib Paul, Oluwaseun John Adeyemi, Ahmed A. Arif, Yaojian Li, Shengjun Yan, Abram Hindle, Kenny Wong, Bumsuk Hahm and Sung Hoon Back. Their work appears in journals such as BMC Public Health, Chemical Engineering Journal, Journal of Visualized Experiments, Water Research and Journal of Mathematical Biology.
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.