Zhifeng Yu

514 citations
18 papers · 340 indexed · h-index 9
Topics
Distributed and Parallel Computing Systems (6 papers)Cloud Computing and Resource Management (6 papers)IoT and Edge/Fog Computing (3 papers)

In The Last Decade

Zhifeng Yu

16 papers receiving 320 citations

Peers

Zhifeng Yu
Comparison fields: 5 of 58
  • Computer Networks and Communications 234
  • Information Systems 221
  • Information Systems and Management 75
  • Computer Vision and Pattern Recognition 52
  • Software 43
Replace Lauritz Thamsen with:
Lauritz Thamsen Germany
Mohammed Sayagh Canada
Riccardo Pinciroli Italy
Cagri Sahin United States
Rafael Tolosana‐Calasanz Spain
Francisco Ribeiro Portugal
Jan S. Rellermeyer Netherlands
Pau Giner Spain
Ruini Xue China
Geoffroy Vallée United States
Zhifeng Yu relative to Lauritz Thamsen Germany Lauritz Thamsen's profile →
Citations per field
00.5×6.1×
Lauritz Thamsen · 1×
Citations per year

Countries citing papers authored by Zhifeng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhifeng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhifeng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhifeng Yu. A scholar is included among the top collaborators of Zhifeng Yu 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 Zhifeng Yu. Zhifeng Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 3
3 16
4 0
5 18
6 8
7 35
8 6
9 8
10 4
11 9
12 5
13 5
14
Toward practical multi-workflow scheduling in cluster and grid environments
2
15 29
16 78
17 62
18 51

About Zhifeng Yu

Zhifeng Yu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 18 papers that have together received 340 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Cloud Computing and Resource Management (6 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Software (43 citations), Information Systems and Management (75 citations) and Computer Networks and Communications (234 citations). Zhifeng Yu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Weisong Shi, Václav Rajlich, Hong Zhong, Qingyang Zhang, Lingmei Ren, Xiaopei Wu, Robert Dunne, Bing Luo, Sheng Tan and Zheng Liu. Their work appears in journals such as Journal of Network and Computer Applications, Cluster Computing and Journal of Sensors.

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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