Yingjun Wu

1.1k citations
26 papers · 660 · h-index 11

Impact in

Papers in

Yingjun Wu

25 papers receiving 644 citations

Peers

Yingjun Wu
Comparison fields: 5 of 72
  • Computer Networks and Communications 386
  • Information Systems 240
  • Hardware and Architecture 68
  • Signal Processing 82
  • Artificial Intelligence 124
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Yuzhe Tang United States
Ke Chen China
Benjamin J. Keller United States
Pan Sun China
Yuedan Chen China
Shuhao Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Yingjun Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Yingjun Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yingjun Wu Line = papers co-authored together Yingjun Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Self-Driving Database Management Systems.
2017133
2 2021114
3 2017112
4 201572
5 201239
6 201629
7 201929
8 201224
9 200920
10 201414
11 202112
12 20239
13 20239
14
[Clinical study of different bowel preparations on changes of gut flora in patients undergoing colorectal resection].
20128
15 20136
16 20145
17
Scalable in-memory transaction processing with HTM
20165
18 20224
19 20234
20 20154

About Yingjun Wu

Yingjun Wu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 26 papers that have together received 660 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Advanced Data Storage Technologies (5 papers), Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (4 papers), Distributed systems and fault tolerance (4 papers), Blockchain Technology Applications and Security (3 papers), Cryptography and Data Security (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Computer Networks and Communications (386 citations), Information Systems (240 citations), Hardware and Architecture (68 citations), Signal Processing (82 citations) and Artificial Intelligence (124 citations). Yingjun Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kian‐Lee Tan, Joy Arulraj, Andrew Pavlo, Chee-Yong Chan, Zhifeng Hao, Han Huang, Feng Chen, Matthew Perron, Dana Van Aken and Lin Ma. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Proceedings of the VLDB Endowment, Protein & Cell, Industrial & Engineering Chemistry Research and Frontiers in Oncology.

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.

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