Xiaochun Yang
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Algorithms and Data Compression
Papers in
-
- Privacy-Preserving Technologies in Data 17
- Algorithms and Data Compression 17
- Cryptography and Data Security 12
-
- Data Management and Algorithms 33
- Co-authors
- Bin Wang (38 shared papers)Chen Li (4 shared papers)Jianxin Li (11 shared papers)Guoren Wang (15 shared papers)Chengfei Liu (7 shared papers)Ningning Cui (8 shared papers)Bin Wang (1 shared paper)Bin Wang (11 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (11 papers)World Wide Web (8 papers)IEEE Access (3 papers)Knowledge-Based Systems (2 papers)Chinese Physics Letters (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaochun Yang
115 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Signal Processing 349
- Artificial Intelligence 653
- Management Science and Operations Research 184
- Information Systems 306
- Computer Networks and Communications 304
Countries citing papers authored by Xiaochun Yang
This map shows the geographic impact of Xiaochun 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 Xiaochun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochun Yang more than expected).
Fields of papers citing papers by Xiaochun Yang
This network shows the impact of papers produced by Xiaochun 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 Xiaochun Yang. The network helps show where Xiaochun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochun 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | VGRAM: improving performance of approximate queries on string collections using variable-length grams | 2007 | 129 |
| 2 | 2018 | 79 | |
| 3 | 2017 | 74 | |
| 4 | 2008 | 70 | |
| 5 | 2010 | 49 | |
| 6 | 2019 | 48 | |
| 7 | 2020 | 47 | |
| 8 | 2009 | 31 | |
| 9 | 2009 | 28 | |
| 10 | 2008 | 28 | |
| 11 | 2017 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2009 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2012 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2013 | 15 | |
| 19 | 2024 | 14 | |
| 20 | 2024 | 14 |
About Xiaochun Yang
Xiaochun Yang is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (33 papers), Privacy-Preserving Technologies in Data (17 papers), Algorithms and Data Compression (17 papers), Advanced Database Systems and Queries (15 papers), Cryptography and Data Security (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Recommender Systems and Techniques (9 papers) and Data Quality and Management (8 papers). The work is most often cited by research in Signal Processing (349 citations), Artificial Intelligence (653 citations), Management Science and Operations Research (184 citations), Information Systems (306 citations) and Computer Networks and Communications (304 citations). Xiaochun Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bin Wang, Chen Li, Jianxin Li, Guoren Wang, Chengfei Liu, Ningning Cui, Bin Wang, Bin Wang, Rui Zhou and Bin Wang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, World Wide Web, IEEE Access, Knowledge-Based Systems and Chinese Physics Letters.
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.