Dandan Lin
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- IoT and Edge/Fog Computing
Papers in
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- Advanced Graph Neural Networks 4
- Topic Modeling 2
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- Recommender Systems and Techniques 3
- Co-authors
- Junhua Wu (1 shared paper)Shuaishuai Zhao (1 shared paper)Guangshun Li (1 shared paper)Guofang Nan (1 shared paper)Runliang Dou (1 shared paper)Raymond Chi-Wing Wong (4 shared papers)Min Xie (1 shared paper)Kai Wang (1 shared paper)
In The Last Decade
Dandan Lin
15 papers receiving 197 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 29
- Computer Networks and Communications 83
- Information Systems 56
- Computer Vision and Pattern Recognition 41
- Artificial Intelligence 43
Countries citing papers authored by Dandan Lin
This map shows the geographic impact of Dandan 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 Dandan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Lin more than expected).
Fields of papers citing papers by Dandan Lin
This network shows the impact of papers produced by Dandan 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 Dandan Lin. The network helps show where Dandan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan 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 | 2019 | 82 | |
| 2 | 2020 | 32 | |
| 3 | 2018 | 30 | |
| 4 | 2020 | 18 | |
| 5 | 2022 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2016 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Dandan Lin
Dandan Lin is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 17 papers that have together received 205 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Recommender Systems and Techniques (3 papers), Topic Modeling (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Complex Network Analysis Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Functional Brain Connectivity Studies (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Computer Networks and Communications (83 citations), Information Systems (56 citations), Computer Vision and Pattern Recognition (41 citations) and Artificial Intelligence (43 citations). Dandan Lin has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include Junhua Wu, Shuaishuai Zhao, Guangshun Li, Guofang Nan, Runliang Dou, Raymond Chi-Wing Wong, Min Xie, Kai Wang, Xing Lin Feng and Lingling Yi. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Knowledge Discovery from Data, Journal of Translational Medicine, Scientific Reports and Mathematical Biosciences & Engineering.
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.