Yingjun Wu

1.0k citations
26 papers · 633 · h-index 10

Impact in

Papers in

Yingjun Wu

24 papers receiving 618 citations

Peers

Yingjun Wu
Comparison fields: 5 of 71
  • Computer Networks and Communications 379
  • Information Systems 237
  • Hardware and Architecture 68
  • Signal Processing 81
  • Artificial Intelligence 121
Replace Yuzhe Tang with:
Yuzhe Tang United States
Ke Chen China
Yuedan Chen China
Shuhao Zhang China
Xuedong Chen China
Prabhanjan Kambadur United States
Lingjiao Chen China
Zhou Yang Singapore
Hongchang Chen 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.
2017130
2 2017108
3 2021101
4 201570
5 201239
6 201929
7 201629
8 201224
9 200921
10 201414
11 20219
12 20239
13 20238
14
[Clinical study of different bowel preparations on changes of gut flora in patients undergoing colorectal resection].
20128
15 20136
16
Scalable in-memory transaction processing with HTM
20165
17 20145
18 20224
19 20154
20 20224

About Yingjun Wu

Yingjun Wu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Molecular Biology, 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), Data Management and Algorithms (4 papers), Distributed systems and fault tolerance (4 papers), Advanced Database Systems and Queries (4 papers), Blockchain Technology Applications and Security (3 papers), Cryptography and Data Security (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Computer Networks and Communications (379 citations), Information Systems (237 citations), Hardware and Architecture (68 citations), Signal Processing (81 citations) and Artificial Intelligence (121 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, Chee-Yong Chan, Zhifeng Hao, Han Huang, Feng Chen, Anthony Tomasic, Prashanth Menon and Tieying Zhang. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Proceedings of the VLDB Endowment, Forests, Protein & Cell and Ceramics International.

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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