Dawei Lin
Impact in
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- Scientific Computing and Data Management
- Information Systems top 5%
- Research Data Management Practices
Papers in
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- Research Data Management Practices 3
- Big Data and Digital Economy 1
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- Scientific Computing and Data Management 3
- Co-authors
- Robert R. Downs (3 shared papers)Hervé L’Hours (3 shared papers)Marisa Raquel De Giusti (1 shared paper)Mustapha Mokrane (3 shared papers)John Westbrook (1 shared paper)Varsha Khodiyar (1 shared paper)Reyna Jenkyns (1 shared paper)Rorie Edmunds (1 shared paper)
- Journals
- Scientific Data (2 papers)Nature Immunology (1 paper)Computer Networks (1 paper)Arabian Journal of Geosciences (1 paper)Data Archiving and Networked Services (DANS) (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Dawei Lin
7 papers receiving 201 citations
Dawei Lin's Hit Papers
Peers
Comparison fields: 5 of 79
- Information Systems and Management 89
- Information Systems 110
- Ecological Modeling 14
- Conservation 10
- Health Informatics 4
Countries citing papers authored by Dawei Lin
This map shows the geographic impact of Dawei Lin'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 Dawei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Lin more than expected).
Fields of papers citing papers by Dawei Lin
This network shows the impact of papers produced by Dawei Lin. 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 Dawei Lin. The network helps show where Dawei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Lin, 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 | The TRUST Principles for digital repositories Hit paper breakdown → | 2020 | 189 |
| 2 | 2024 | 7 | |
| 3 | 2021 | 7 | |
| 4 | 2024 | 5 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 2 | |
| 7 | 2024 | 1 |
About Dawei Lin
Dawei Lin is a scholar working on Information Systems, Information Systems and Management, Infectious Diseases, Computer Networks and Communications and Molecular Biology, having authored 7 papers that have together received 213 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Research Data Management Practices (3 papers), Geotechnical Engineering and Analysis (1 paper), Digital and Traditional Archives Management (1 paper), scientometrics and bibliometrics research (1 paper), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Big Data and Digital Economy (1 paper). The work is most often cited by research in Information Systems and Management (89 citations), Information Systems (110 citations), Ecological Modeling (14 citations), Conservation (10 citations) and Health Informatics (4 citations). Dawei Lin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Robert R. Downs, Hervé L’Hours, Marisa Raquel De Giusti, Mustapha Mokrane, John Westbrook, Varsha Khodiyar, Reyna Jenkyns, Rorie Edmunds, David Giaretta and Jonathan Petters. Their work appears in journals such as Scientific Data, Nature Immunology, Computer Networks, Arabian Journal of Geosciences and Data Archiving and Networked Services (DANS).
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.