Yingjun Wu
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Hardware and Architecture top 10%
- Co-authors
- Kian‐Lee TanAndrew PavloJoy ArulrajHan HuangFeng ChenChee-Yong ChanZhifeng HaoMatthew Perron
- Topics
- Advanced Data Storage Technologies (5 papers)Cloud Computing and Resource Management (5 papers)Advanced Database Systems and Queries (4 papers)
- Journals
- Industrial & Engineering Chemistry ResearchCeramics InternationalIEEE Transactions on Information Forensics and Security
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yingjun Wu
24 papers receiving 618 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 379
- Information Systems 237
- Artificial Intelligence 121
- Signal Processing 81
- Hardware and Architecture 68
Countries citing papers authored by Yingjun Wu
This map shows the geographic impact of Yingjun Wu'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 Yingjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjun Wu more than expected).
Fields of papers citing papers by Yingjun Wu
This network shows the impact of papers produced by Yingjun Wu. 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 Yingjun Wu. The network helps show where Yingjun Wu may publish in the future.
Co-authorship network of co-authors of Yingjun Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yingjun Wu. A scholar is included among the top collaborators of Yingjun Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingjun Wu. Yingjun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 101 | |
| 9 | 9 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | Self-Driving Database Management Systems. | 130 |
| 13 | Scalable in-memory transaction processing with HTM | 5 |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 39 | |
| 20 | 24 |
About Yingjun Wu
Yingjun Wu is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 26 papers that have together received 633 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Cloud Computing and Resource Management (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Computer Networks and Communications (379 citations), Information Systems (237 citations) and Hardware and Architecture (68 citations). Yingjun Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kian‐Lee Tan, Andrew Pavlo, Joy Arulraj, Han Huang, Feng Chen, Chee-Yong Chan, Zhifeng Hao, Matthew Perron, Tieying Zhang and Prashanth Menon. Their work appears in journals such as Industrial & Engineering Chemistry Research, Ceramics International and IEEE Transactions on Information Forensics and Security.
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.