Jun Wu

1.9k citations
153 papers · 1.3k · h-index 19

Impact in

Papers in

Jun Wu

142 papers receiving 1.3k citations

Peers

Jun Wu
Comparison fields: 5 of 112
  • Computer Networks and Communications 501
  • Electrical and Electronic Engineering 442
  • Aerospace Engineering 131
  • Artificial Intelligence 155
  • Marketing 40
Replace Shuai Zhao with:
Shuai Zhao China
Wenyuan Liu China
Wenbin Yu China
Jamel Nebhen Saudi Arabia
Rajendran Parthiban Malaysia
Yufeng Wang China
Ammar Ahmed Alkahtani Malaysia
Wei Jian China
Jun Wu relative to Shuai Zhao China Shuai Zhao's profile →
Citations per field
00.5×2.7×
Shuai Zhao · 1×
Citations per year

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200892
2 201779
3 202459
4 200745
5 202242
6 201842
7 202040
8 202040
9 201838
10 201834
11 201829
12 200029
13 201823
14 202122
15 202021
16 202121
17 201921
18 201820
19 202119
20 202317

About Jun Wu

Jun Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering, having authored 153 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (56 papers), Distributed Sensor Networks and Detection Algorithms (37 papers), Wireless Communication Security Techniques (13 papers), UAV Applications and Optimization (12 papers), Advanced MIMO Systems Optimization (9 papers), Age of Information Optimization (8 papers), Advancements in Battery Materials (6 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Computer Networks and Communications (501 citations), Electrical and Electronic Engineering (442 citations), Aerospace Engineering (131 citations), Artificial Intelligence (155 citations) and Marketing (40 citations). Jun Wu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Tiecheng Song, Jing Hu, Cong Wang, Yue Yu, Jinhua Zheng, Biao Luo, Leifeng Chen, Jiasong Zhong, Weitao Su and Jianrong Bao. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, IEEE Sensors Journal, IEEE Access, IEEE Internet of Things Journal and Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.

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.

Explore authors with similar magnitude of impact