Rubing Duan

843 citations
18 papers · 417 · h-index 10

Impact in

Papers in

Rubing Duan

18 papers receiving 399 citations

Peers

Rubing Duan
Comparison fields: 5 of 55
  • Information Systems and Management 175
  • Computer Networks and Communications 319
  • Information Systems 274
  • Hardware and Architecture 50
  • Signal Processing 25
Replace M. Govindaraju with:
M. Govindaraju United States
Nezih Yigitbasi Netherlands
Bogdan Nicolae United States
Tobias Binz Germany
Mathieu Jan France
Robert A. van Engelen United States
Warren Smith United States
Alexei Karve United States
Nathan Gnanasambandam United States
A. Reinefeld Germany
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Citations per year

Countries citing papers authored by Rubing Duan

Since Specialization
Citations

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

Fields of papers citing papers by Rubing Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubing Duan. 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 Rubing Duan. The network helps show where Rubing Duan may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005109
2 201487
3 200739
4 201539
5 200934
6 200625
7 201517
8 201512
9 201312
10 200611
11 20138
12
Data Mining-based Fault Prediction and Detection on the Grid.
20067
13 20145
14 20125
15 20144
16 20231
17 20141
18
EASAIER semantic music retrieval portal
20071

About Rubing Duan

Rubing Duan is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 417 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Cloud Computing and Resource Management (8 papers), Scientific Computing and Data Management (5 papers), Parallel Computing and Optimization Techniques (3 papers), Data Management and Algorithms (2 papers), Music and Audio Processing (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Information Systems and Management (175 citations), Computer Networks and Communications (319 citations), Information Systems (274 citations), Hardware and Architecture (50 citations) and Signal Processing (25 citations). Rubing Duan has collaborated with scholars based in Singapore, Austria and China. Frequent co-authors include Radu Prodan, Thomas Fahringer, Xiaorong Li, Zheng Zhang, Ping Tang, Stefan Podlipnig, Jun Qin, Mumtaz Siddiqui, Alex Villazón and M. A. Wieczorek. Their work appears in journals such as Future Generation Computer Systems, Information Sciences, Andrologia, IEEE Transactions on Cloud Computing and IET Computer Vision.

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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