Dingyu Yang
Impact in
- Software top 10%
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 5
- Software System Performance and Reliability 4
- IoT and Edge/Fog Computing 3
-
- Cloud Computing and Resource Management 5
- Software Engineering Research 3
- Co-authors
- Jingsong Zhang (4 shared papers)Jian Cao (12 shared papers)Yinglin Wang (2 shared papers)Jianmei Guo (5 shared papers)Dongxiang Zhang (4 shared papers)Heng Tao Shen (2 shared papers)Huiqun Yu (2 shared papers)Krzysztof Czarnecki (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Journal of Systems and Software (2 papers)The VLDB Journal (2 papers)Information Sciences (1 paper)Software & Systems Modeling (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Dingyu Yang
28 papers receiving 384 citations
Peers
Comparison fields: 5 of 50
- Software 39
- Signal Processing 105
- Information Systems 216
- Computer Networks and Communications 140
- Transportation 40
Countries citing papers authored by Dingyu Yang
This map shows the geographic impact of Dingyu Yang'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 Dingyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingyu Yang more than expected).
Fields of papers citing papers by Dingyu Yang
This network shows the impact of papers produced by Dingyu Yang. 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 Dingyu Yang. The network helps show where Dingyu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingyu Yang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 70 | |
| 2 | 2015 | 51 | |
| 3 | 2018 | 46 | |
| 4 | 2017 | 36 | |
| 5 | 2017 | 30 | |
| 6 | 2016 | 23 | |
| 7 | 2012 | 18 | |
| 8 | 2014 | 16 | |
| 9 | 2012 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2014 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2018 | 3 |
About Dingyu Yang
Dingyu Yang is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 33 papers that have together received 393 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Cloud Computing and Resource Management (5 papers), Advanced Database Systems and Queries (5 papers), Data Stream Mining Techniques (4 papers), Software System Performance and Reliability (4 papers), Software Engineering Research (3 papers), Robotic Path Planning Algorithms (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Software (39 citations), Signal Processing (105 citations), Information Systems (216 citations), Computer Networks and Communications (140 citations) and Transportation (40 citations). Dingyu Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jingsong Zhang, Jian Cao, Yinglin Wang, Jianmei Guo, Dongxiang Zhang, Heng Tao Shen, Huiqun Yu, Krzysztof Czarnecki, Norbert Siegmund and Yi Liu. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Systems and Software, The VLDB Journal, Information Sciences and Software & Systems Modeling.
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.