Dong Deng
Impact in
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- Data Quality and Management
- Signal Processing top 1%
- Data Management and Algorithms
Papers in
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- Data Quality and Management 34
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- Web Data Mining and Analysis 19
- Data Mining Algorithms and Applications 6
- Co-authors
- Guoliang Li (21 shared papers)Jianhua Feng (14 shared papers)Jiannan Wang (3 shared papers)Michael Stonebraker (9 shared papers)Minghe Yu (2 shared papers)Ihab F. Ilyas (5 shared papers)Mourad Ouzzani (5 shared papers)Ziawasch Abedjan (5 shared papers)
- Journals
- Proceedings of the VLDB Endowment (13 papers)The VLDB Journal (3 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)World Journal of Traditional Chinese Medicine (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Dong Deng
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Management Science and Operations Research 808
- Signal Processing 529
- Information Systems 552
- Artificial Intelligence 783
- Computer Networks and Communications 349
Countries citing papers authored by Dong Deng
This map shows the geographic impact of Dong Deng'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 Dong Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Deng more than expected).
Fields of papers citing papers by Dong Deng
This network shows the impact of papers produced by Dong Deng. 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 Dong Deng. The network helps show where Dong Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Deng, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 153 | |
| 2 | 2011 | 140 | |
| 3 | 2015 | 99 | |
| 4 | 2019 | 78 | |
| 5 | 2014 | 74 | |
| 6 | The data civilizer system | 2017 | 67 |
| 7 | 2015 | 67 | |
| 8 | 2012 | 57 | |
| 9 | 2013 | 56 | |
| 10 | 2014 | 52 | |
| 11 | 2013 | 45 | |
| 12 | 2013 | 39 | |
| 13 | 2011 | 36 | |
| 14 | 2015 | 36 | |
| 15 | 2018 | 33 | |
| 16 | 2014 | 31 | |
| 17 | 2013 | 30 | |
| 18 | 2023 | 26 | |
| 19 | 2015 | 24 | |
| 20 | 2016 | 23 |
About Dong Deng
Dong Deng is a scholar working on Management Science and Operations Research, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Quality and Management (34 papers), Data Management and Algorithms (20 papers), Web Data Mining and Analysis (19 papers), Advanced Image and Video Retrieval Techniques (10 papers), Algorithms and Data Compression (8 papers), Advanced Database Systems and Queries (6 papers), Data Mining Algorithms and Applications (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Management Science and Operations Research (808 citations), Signal Processing (529 citations), Information Systems (552 citations), Artificial Intelligence (783 citations) and Computer Networks and Communications (349 citations). Dong Deng has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Guoliang Li, Jianhua Feng, Jiannan Wang, Michael Stonebraker, Minghe Yu, Ihab F. Ilyas, Mourad Ouzzani, Ziawasch Abedjan, Nan Tang and Raul Castro Fernandez. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, IEEE Transactions on Parallel and Distributed Systems, World Journal of Traditional Chinese Medicine and ACM Transactions on Database 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.