Kun‐Lung Wu

3.4k citations
84 papers · 2.0k · h-index 24

Impact in

Papers in

Kun‐Lung Wu

82 papers receiving 1.8k citations

Peers

Kun‐Lung Wu
Comparison fields: 5 of 58
  • Computer Networks and Communications 1.6k
  • Signal Processing 673
  • Hardware and Architecture 270
  • Information Systems 836
  • Artificial Intelligence 548
Replace Philip Bohannon with:
Philip Bohannon United States
David Lomet United States
Yanlei Diao United States
R. G. G. Cattell United States
Vijayshankar Raman United States
Peter M. G. Apers Netherlands
Ali R. Hurson United States
Sharma Chakravarthy United States
Kostas Tzoumas Germany
Sailesh Krishnamurthy United States
Kun‐Lung Wu relative to Philip Bohannon United States Philip Bohannon's profile →
Citations per field
00.5×1.5×2.2×
Philip Bohannon · 1×
Citations per year

Countries citing papers authored by Kun‐Lung Wu

Since Specialization
Citations

This map shows the geographic impact of Kun‐Lung 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 Kun‐Lung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Lung Wu more than expected).

Fields of papers citing papers by Kun‐Lung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Lung 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 Kun‐Lung Wu. The network helps show where Kun‐Lung Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun‐Lung 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 Kun‐Lung Wu Line = papers co-authored together Kun‐Lung Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008287
2 2014152
3 1994107
4 201099
5 201095
6 200992
7 201577
8
Challenges and experience in prototyping a multi-modal stream analytic and monitoring application on System S
200761
9 201254
10 200949
11 201845
12 200640
13 200539
14 201035
15 201033
16 200932
17 200728
18 200227
19 200227
20 200626

About Kun‐Lung Wu

Kun‐Lung Wu is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (33 papers), Data Management and Algorithms (32 papers), Advanced Data Storage Technologies (23 papers), Distributed systems and fault tolerance (21 papers), Cloud Computing and Resource Management (18 papers), Distributed and Parallel Computing Systems (12 papers), Parallel Computing and Optimization Techniques (12 papers) and Data Stream Mining Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Signal Processing (673 citations), Hardware and Architecture (270 citations), Information Systems (836 citations) and Artificial Intelligence (548 citations). Kun‐Lung Wu has collaborated with scholars based in United States, Türkiye and Taiwan. Frequent co-authors include Buğra Gedik, Philip S. Yu, Henrique Andrade, Scott Schneider, Martin Hirzel, Myungcheol Doo, Shyh-Kwei Chen, Ming-Syan Chen⋆, Sai Wu and Beng Chin Ooi. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, IEEE Transactions on Services Computing and Information Sciences.

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.

Explore authors with similar magnitude of impact