Jun Wang

5.3k total citations
260 papers, 3.6k citations indexed

About

Jun Wang is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Wang has authored 260 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Computer Networks and Communications, 61 papers in Information Systems and 43 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Wang's work include Advanced Data Storage Technologies (94 papers), Caching and Content Delivery (68 papers) and Cloud Computing and Resource Management (42 papers). Jun Wang is often cited by papers focused on Advanced Data Storage Technologies (94 papers), Caching and Content Delivery (68 papers) and Cloud Computing and Resource Management (42 papers). Jun Wang collaborates with scholars based in United States, China and Hong Kong. Jun Wang's co-authors include Subhabrata Sen, Dezhi Han, Robin Kravets, Yaling Yang, Saba Sehrish, Shih‐Fu Chang, Wei Liu, Dong Li, Huafeng Wu and Mingming Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Proceedings of the IEEE.

In The Last Decade

Jun Wang

233 papers receiving 3.4k citations

Peers

Jun Wang
Comparison fields: 5 of 140
  • Computer Networks and Communications 2.1k
  • Artificial Intelligence 769
  • Information Systems 730
  • Electrical and Electronic Engineering 619
  • Computer Vision and Pattern Recognition 381
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Maozhen Li United Kingdom View profile →
Citations per field, relative to Jun Wang
Jun Wang · 1×
Citations per year, relative to Jun Wang
Jun Wang · 1×

Countries citing papers authored by Jun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wang. A scholar is included among the top collaborators of Jun Wang 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 Jun Wang. Jun Wang 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
# Work Indexed citations
1 2
2 8
3 3
4 1
5 21
6 3
7 77
8 11
9 9
10 7
11
Reinforcement Learning for Architecture Search by Network Transformation
12
12 27
13
Fiscal Decentralization,Public Preferences and Social Security Expenditure:An Empirical Study Based on Provincial Panel Data
1
14 0
15 18
16
The Model of Object Identification Based on the Fuzzy Synthesis Function
1
17 23
18
A Light-weight, Temporary File System for Large-scale Web Servers.
0
19
WOLF: a novel reordering write buffer to boost the performance of log-structured file systems
31
20
HIGH PERFORMANCE I/O ARCHITECTURES AND FILE SYSTEMS FOR INTERNET SERVERS
1

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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