Shaoxu Song
Impact in
-
- Data Quality and Management
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
-
- Anomaly Detection Techniques and Applications 13
- Semantic Web and Ontologies 12
- Privacy-Preserving Technologies in Data 8
-
- Data Quality and Management 51
- Co-authors
- Lei Chen (24 shared papers)Jianmin Wang (45 shared papers)Aoqian Zhang (9 shared papers)Philip S. Yu (8 shared papers)Lei Zou (4 shared papers)Jeffrey Xu Yu (5 shared papers)Hong Cheng (5 shared papers)Xuemin Lin (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (18 papers)IEEE Transactions on Knowledge and Data Engineering (9 papers)The VLDB Journal (5 papers)ACM Transactions on Database Systems (4 papers)Ultrasonics Sonochemistry (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shaoxu Song
98 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Management Science and Operations Research 595
- Signal Processing 501
- Artificial Intelligence 778
- Computer Networks and Communications 486
- Information Systems 459
Countries citing papers authored by Shaoxu Song
This map shows the geographic impact of Shaoxu Song'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 Shaoxu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoxu Song more than expected).
Fields of papers citing papers by Shaoxu Song
This network shows the impact of papers produced by Shaoxu Song. 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 Shaoxu Song. The network helps show where Shaoxu Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoxu Song, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2011 | 89 | |
| 3 | 2015 | 74 | |
| 4 | 2016 | 68 | |
| 5 | 2015 | 53 | |
| 6 | 2018 | 50 | |
| 7 | 2016 | 49 | |
| 8 | 2015 | 44 | |
| 9 | 2013 | 41 | |
| 10 | 2015 | 41 | |
| 11 | 2009 | 38 | |
| 12 | 2023 | 36 | |
| 13 | 2014 | 35 | |
| 14 | 2019 | 35 | |
| 15 | 2013 | 35 | |
| 16 | 2016 | 32 | |
| 17 | 2015 | 31 | |
| 18 | 2010 | 27 | |
| 19 | 2020 | 27 | |
| 20 | 2016 | 25 |
About Shaoxu Song
Shaoxu Song is a scholar working on Artificial Intelligence, Management Science and Operations Research, Signal Processing, Computer Networks and Communications and Information Systems, having authored 111 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Quality and Management (51 papers), Advanced Database Systems and Queries (36 papers), Data Management and Algorithms (27 papers), Time Series Analysis and Forecasting (24 papers), Data Mining Algorithms and Applications (16 papers), Anomaly Detection Techniques and Applications (13 papers), Semantic Web and Ontologies (12 papers) and Privacy-Preserving Technologies in Data (8 papers). The work is most often cited by research in Management Science and Operations Research (595 citations), Signal Processing (501 citations), Artificial Intelligence (778 citations), Computer Networks and Communications (486 citations) and Information Systems (459 citations). Shaoxu Song has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lei Chen, Jianmin Wang, Aoqian Zhang, Philip S. Yu, Lei Zou, Jeffrey Xu Yu, Hong Cheng, Xuemin Lin, Yu Sun and Xiang Lian. 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 Database Systems and Ultrasonics Sonochemistry.
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.