Zhipeng Jia

1.3k citations
16 papers · 644 indexed · h-index 8
Topics
IoT and Edge/Fog Computing (5 papers)Cloud Computing and Resource Management (5 papers)Cloud Data Security Solutions (3 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Zhipeng Jia

14 papers receiving 623 citations

Peers

Zhipeng Jia
Comparison fields: 5 of 86
  • Artificial Intelligence 359
  • Radiology, Nuclear Medicine and Imaging 228
  • Computer Vision and Pattern Recognition 209
  • Computer Networks and Communications 176
  • Information Systems 163
Replace Jan Harkes with:
Jan Harkes United States
Noël De Palma France
H. K. Huang United States
Luís A. Bastião Silva Portugal
Olcay Sertel United States
Parminder Kaur India
Zhuo Zhang China
Sharath R. Cholleti United States
Qi Song China
Mohammad Abrar Pakistan
Zhipeng Jia relative to Jan Harkes United States Jan Harkes's profile →
Citations per field
00.5×1.5×2.0×
Jan Harkes · 1×
Citations per year

Countries citing papers authored by Zhipeng Jia

Since Specialization
Citations

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

Fields of papers citing papers by Zhipeng Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhipeng Jia

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 14
6 1
7 120
8 43
9
Telekine: Secure Computing with Cloud GPUs
15
10 8
11 7
12 289
13 16
14 121
15 1
16 6

About Zhipeng Jia

Zhipeng Jia is a scholar working on Information Systems, Software and Computer Networks and Communications, having authored 16 papers that have together received 644 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Cloud Computing and Resource Management (5 papers) and Cloud Data Security Solutions (3 papers). The work is most often cited by research in Artificial Intelligence (359 citations), Computer Vision and Pattern Recognition (209 citations) and Radiology, Nuclear Medicine and Imaging (228 citations). Zhipeng Jia has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Emmett Witchel, Yan Xu, Eric Chang, Maode Lai, Yuqing Ai, Liang-Bo Wang, Fang Zhang, Fang Zhang, Christopher J. Rossbach and Tyler Hunt. Their work appears in journals such as BMC Bioinformatics, Environmental Research and ACM Transactions on Computer Systems.

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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