Peichang Shi

1.3k citations
55 papers · 874 indexed · h-index 16
Topics
Blockchain Technology Applications and Security (20 papers)Cloud Computing and Resource Management (17 papers)Caching and Content Delivery (12 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Peichang Shi

51 papers receiving 843 citations

Peers

Peichang Shi
Comparison fields: 5 of 115
  • Information Systems 421
  • Computer Networks and Communications 302
  • Artificial Intelligence 151
  • Clinical Psychology 132
  • Experimental and Cognitive Psychology 111
Replace Michael Lowry with:
Michael Lowry United States
Runa Bhaumik United States
Zhikun Zhang China
Vincenzo De Florio Belgium
Yun Tang China
Stephen Cook Australia
Frans Henskens Australia
Michael N. Nelson United States
António Teixeira Portugal
Yanxia Wang China
Peichang Shi relative to Michael Lowry United States Michael Lowry's profile →
Citations per field
00.5×10.8×
Michael Lowry · 1×
Citations per year

Countries citing papers authored by Peichang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Peichang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peichang Shi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 1
3 0
4 0
5 3
6 16
7 4
8 49
9 5
10 5
11 3
12
Server Placement for P2P Live Streaming
1
13 1
14 2
15 108
16 22
17 24
18 26
19 87
20 18

About Peichang Shi

Peichang Shi is a scholar working on Information Systems, Computer Networks and Communications and Biological Psychiatry, having authored 55 papers that have together received 874 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (20 papers), Cloud Computing and Resource Management (17 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Information Systems (421 citations), Biological Psychiatry (45 citations) and Behavioral Neuroscience (59 citations). Peichang Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huaimin Wang, Xiang Fu, Yiming Zhang, Carmen Andreescu, Bruce L. Rollman, Eric J. Lenze, Meryl A. Butters, Xunhui Zhang, Petra Nowotny and Alison Goate. Their work appears in journals such as IEEE Access, Sensors and Actuators B Chemical and Journal of Adolescent Health.

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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