Da Wei Yan
Impact in
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- Graph Theory and Algorithms
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
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- Graph Theory and Algorithms 35
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- Data Management and Algorithms 26
- Co-authors
- James Sheung-Chak Cheng (22 shared papers)Wilfred Ng (19 shared papers)Yi Lu (6 shared papers)Zhou Li Zhao (10 shared papers)Huanhuan Wu (5 shared papers)Yingyi Bu (4 shared papers)Zhe Jiang (23 shared papers)Yuanyuan Tian (5 shared papers)
- Journals
- Proceedings of the VLDB Endowment (7 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)The VLDB Journal (3 papers)ACM Transactions on Spatial Algorithms and Systems (2 papers)Knowledge and Information Systems (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Da Wei Yan
113 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 965
- Signal Processing 479
- Information Systems 598
- Computer Networks and Communications 537
- Artificial Intelligence 763
Countries citing papers authored by Da Wei Yan
This map shows the geographic impact of Da Wei Yan'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 Da Wei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Wei Yan more than expected).
Fields of papers citing papers by Da Wei Yan
This network shows the impact of papers produced by Da Wei Yan. 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 Da Wei Yan. The network helps show where Da Wei Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Wei Yan, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 184 | |
| 2 | 2014 | 110 | |
| 3 | 2021 | 109 | |
| 4 | 2018 | 80 | |
| 5 | 2015 | 78 | |
| 6 | 2014 | 75 | |
| 7 | 2015 | 60 | |
| 8 | 2017 | 58 | |
| 9 | 2016 | 55 | |
| 10 | 2021 | 50 | |
| 11 | 2013 | 46 | |
| 12 | 2011 | 45 | |
| 13 | 2016 | 36 | |
| 14 | 2023 | 35 | |
| 15 | 2020 | 33 | |
| 16 | 2011 | 31 | |
| 17 | 2012 | 31 | |
| 18 | 2017 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2019 | 27 |
About Da Wei Yan
Da Wei Yan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Transportation and Artificial Intelligence, having authored 123 papers that have together received 1.9k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (35 papers), Data Management and Algorithms (26 papers), Advanced Graph Neural Networks (23 papers), Data Mining Algorithms and Applications (19 papers), Cloud Computing and Resource Management (13 papers), Advanced Database Systems and Queries (11 papers), Transportation Planning and Optimization (10 papers) and Human Mobility and Location-Based Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (965 citations), Signal Processing (479 citations), Information Systems (598 citations), Computer Networks and Communications (537 citations) and Artificial Intelligence (763 citations). Da Wei Yan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include James Sheung-Chak Cheng, Wilfred Ng, Yi Lu, Zhou Li Zhao, Huanhuan Wu, Yingyi Bu, Zhe Jiang, Yuanyuan Tian, Wei‐Shinn Ku and Cheng-Chien Chen. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, ACM Transactions on Spatial Algorithms and Systems and Knowledge and Information Systems.
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.