Dawei Lin
Impact in
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- Scientific Computing and Data Management
- Information Systems top 10%
- Research Data Management Practices
Papers in
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- Research Data Management Practices 3
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- Scientific Computing and Data Management 3
- Co-authors
- Reyna Jenkyns (1 shared paper)Jonathan Petters (1 shared paper)Barbara Sierman (1 shared paper)John Westbrook (1 shared paper)David Giaretta (1 shared paper)Ingrid Dillo (3 shared papers)Robert R. Downs (3 shared papers)Marisa Raquel De Giusti (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 StatesChinaCanada
In The Last Decade
Dawei Lin
7 papers receiving 230 citations
Dawei Lin's Hit Papers
Peers
Comparison fields: 5 of 80
- Information Systems and Management 98
- Information Systems 123
- Conservation 14
- Ecological Modeling 14
- Management Science and Operations Research 40
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 | 219 |
| 2 | 2024 | 9 | |
| 3 | 2021 | 8 | |
| 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 246 indexed citations. Recurring topics across this work include Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers), Digital and Traditional Archives Management (1 paper), Landslides and related hazards (1 paper), Dam Engineering and Safety (1 paper), Geotechnical Engineering and Analysis (1 paper), scientometrics and bibliometrics research (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Information Systems and Management (98 citations), Information Systems (123 citations), Conservation (14 citations), Ecological Modeling (14 citations) and Management Science and Operations Research (40 citations). Dawei Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Reyna Jenkyns, Jonathan Petters, Barbara Sierman, John Westbrook, David Giaretta, Ingrid Dillo, Robert R. Downs, Marisa Raquel De Giusti, Jonathan Crabtree and Hervé L’Hours. 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.