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 System Performance and Reliability 2
-
- Software Engineering Research 3
- Cloud Computing and Resource Management 2
- Co-authors
- Eleni Stroulia (5 shared papers)Rajib Paul (2 shared papers)Ahmed A. Arif (1 shared paper)Oluwaseun Adeyemi (1 shared paper)Shengjun Yan (1 shared paper)Yaojian Li (1 shared paper)Abram Hindle (3 shared papers)Kenny Wong (2 shared papers)
- Journals
- BMC Public Health (2 papers)Industrial Crops and Products (1 paper)Journal of Manufacturing Processes (1 paper)Statistics in Medicine (1 paper)Journal of Applied Physics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Han
31 papers receiving 634 citations
Peers
Comparison fields: 5 of 129
- Modeling and Simulation 50
- Hepatology 67
- Software 36
- Signal Processing 97
- Nephrology 41
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2016 | 105 | |
| 3 | 2012 | 87 | |
| 4 | 1995 | 82 | |
| 5 | 2016 | 76 | |
| 6 | 2013 | 39 | |
| 7 | 2012 | 18 | |
| 8 | 2015 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2025 | 3 |
About Dan Han
Dan Han is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 36 papers that have together received 654 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), Data Management and Algorithms (2 papers), Advanced Software Engineering Methodologies (2 papers), Cloud Computing and Resource Management (2 papers), Graph Theory and Algorithms (2 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Modeling and Simulation (50 citations), Hepatology (67 citations), Software (36 citations), Signal Processing (97 citations) and Nephrology (41 citations). Dan Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Eleni Stroulia, Rajib Paul, Ahmed A. Arif, Oluwaseun Adeyemi, Shengjun Yan, Yaojian Li, Abram Hindle, Kenny Wong, Kunitada Shimotohno and Sung Key Jang. Their work appears in journals such as BMC Public Health, Industrial Crops and Products, Journal of Manufacturing Processes, Statistics in Medicine and Journal of Applied Physics.
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.