Haijun Wang

456 citations
49 papers · 312 · h-index 11

Impact in

    • Cognitive Radio Networks and Spectrum Sensing
    • Distributed Sensor Networks and Detection Algorithms
    • Distributed Control Multi-Agent Systems
    • Neural Networks Stability and Synchronization
    • Energy Efficient Wireless Sensor Networks

Papers in

Haijun Wang

44 papers receiving 300 citations

Peers

Haijun Wang
Comparison fields: 5 of 65
  • Computer Networks and Communications 136
  • Software 20
  • Signal Processing 38
  • Artificial Intelligence 78
  • Computer Vision and Pattern Recognition 48
Replace Isaac Amundson with:
Isaac Amundson United States
Alei Liang China
YoungMin Kwon United States
Kambiz Majidzadeh Iran
Xiaojing Zhang China
O. Patrick Kreidl United States
Juhwan Noh South Korea
Zhenkun Yang United States
Mariusz Rawski Poland
Gyanendra Kumar India
Haijun Wang relative to Isaac Amundson United States Isaac Amundson's profile →
Citations per field
00.5×5.6×
Isaac Amundson · 1×
Citations per year

Countries citing papers authored by Haijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 201942
3 201017
4 202017
5 201015
6 200815
7 201911
8 202211
9 201911
10 200810
11 202310
12 20219
13 20219
14 20218
15 20057
16 20216
17 20055
18 20185
19 20104
20 20134

About Haijun Wang

Haijun Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 49 papers that have together received 312 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Cognitive Radio Networks and Spectrum Sensing (8 papers), Distributed Sensor Networks and Detection Algorithms (8 papers), Infrared Target Detection Methodologies (4 papers), Neural Networks Stability and Synchronization (4 papers), Distributed Control Multi-Agent Systems (4 papers), High-Voltage Power Transmission Systems (4 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (136 citations), Software (20 citations), Signal Processing (38 citations), Artificial Intelligence (78 citations) and Computer Vision and Pattern Recognition (48 citations). Haijun Wang has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Jinde Cao, Xin Su, Xiaofei Xie, Lei Ma, Yuekang Li, Xiaohong Li, Yang Liu, Qinghui Hu, Naixue Xiong and Jun Shang. Their work appears in journals such as IEEE Access, EURASIP Journal on Wireless Communications and Networking, Physica A Statistical Mechanics and its Applications, Education and Information Technologies and Knowledge-Based 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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