Da Yan
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- Graph Theory and Algorithms 28
- Signal Processing top 2%
- Data Management and Algorithms 20
- Information Systems top 1%
- Data Mining Algorithms and Applications 17
- Cloud Computing and Resource Management 11
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 21
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- Transportation Planning and Optimization 10
- Human Mobility and Location-Based Analysis 9
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- Transportation and Mobility Innovations 8
- Journals
- Proceedings of the VLDB Endowment (6 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)The VLDB Journal (3 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Da Yan
99 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 779
- Signal Processing 357
- Information Systems 490
- Artificial Intelligence 599
- Computer Networks and Communications 387
Countries citing papers authored by Da Yan
This map shows the geographic impact of Da 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 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 Yan more than expected).
Fields of papers citing papers by Da Yan
This network shows the impact of papers produced by Da 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 Yan. The network helps show where Da Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Da 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 28 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 46 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 7 | |
| 17 | 2018 | 4 | |
| 18 | 2017 | 25 | |
| 19 | 2017 | 48 | |
| 20 | 2015 | 51 |
About Da Yan
Da Yan is a scholar working on Computational Mathematics, Transportation and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 1.5k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (28 papers), Advanced Graph Neural Networks (21 papers), Data Management and Algorithms (20 papers), Data Mining Algorithms and Applications (17 papers), Cloud Computing and Resource Management (11 papers), Transportation Planning and Optimization (10 papers), Human Mobility and Location-Based Analysis (9 papers) and Transportation and Mobility Innovations (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (779 citations), Signal Processing (357 citations) and Information Systems (490 citations). Da Yan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include James Cheng, Wilfred Ng, Yi Lu, Zhou Zhao, Huanhuan Wu, Yingyi Bu, Wei‐Shinn Ku, Yuanyuan Tian, Zhe Jiang and John C. S. Lui. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, Knowledge and Information Systems and ACM Transactions on Spatial Algorithms and 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.