Kun‐Lung Wu
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Philip S. YuJoel L. WolfCharų C. AggarwalGabriela Jacques-SilvaBuğra GedikAhmet Erdem SarıyüceÜmit V. ÇatalyürekKanat Tangwongsan
- Topics
- Caching and Content Delivery (12 papers)Distributed systems and fault tolerance (11 papers)Advanced Data Storage Technologies (10 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringComputer NetworksIEEE Transactions on Mobile Computing
- Partner nations
- United StatesTürkiyeThailand
In The Last Decade
Kun‐Lung Wu
30 papers receiving 829 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 497
- Information Systems 325
- Computer Vision and Pattern Recognition 243
- Artificial Intelligence 238
- Statistical and Nonlinear Physics 208
Countries citing papers authored by Kun‐Lung Wu
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
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-authorship network of co-authors of Kun‐Lung Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Lung Wu. A scholar is included among the top collaborators of Kun‐Lung 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 Kun‐Lung Wu. Kun‐Lung 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 | 4 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 11 | |
| 5 | 106 | |
| 6 | 37 | |
| 7 | An Indexing Framework for Efficient Retrieval on the Cloud. | 26 |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 21 | |
| 11 | 0 | |
| 12 | The Intelligent Recommendation Analyzer. | 4 |
| 13 | 12 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 248 | |
| 18 | 13 | |
| 19 | A Performance Study of Workfile Disk Management for Concurrent Mergesorts in a Multiprocessor Database System | 2 |
| 20 | 7 |
About Kun‐Lung Wu
Kun‐Lung Wu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 32 papers that have together received 895 indexed citations. Recurring topics across this work include Caching and Content Delivery (12 papers), Distributed systems and fault tolerance (11 papers) and Advanced Data Storage Technologies (10 papers). The work is most often cited by research in Computer Networks and Communications (497 citations), Statistical and Nonlinear Physics (208 citations) and Information Systems (325 citations). Kun‐Lung Wu has collaborated with scholars based in United States, Türkiye and Thailand. Frequent co-authors include Philip S. Yu, Joel L. Wolf, Charų C. Aggarwal, Gabriela Jacques-Silva, Buğra Gedik, Ahmet Erdem Sarıyüce, Ümit V. Çatalyürek, Kanat Tangwongsan, Srikanta Tirthapura and A. Pavan. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Computer Networks and IEEE Transactions on Mobile Computing.
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.