Qun Wan

3.3k citations
270 papers · 2.4k · h-index 22

Impact in

    • Speech and Audio Processing
    • Direction-of-Arrival Estimation Techniques
    • Antenna Design and Optimization
    • Radar Systems and Signal Processing

Papers in

Qun Wan

239 papers receiving 2.3k citations

Peers

Qun Wan
Comparison fields: 5 of 81
  • Signal Processing 1.0k
  • Aerospace Engineering 846
  • Electrical and Electronic Engineering 1.5k
  • Ocean Engineering 416
  • Artificial Intelligence 663
Replace Elias Aboutanios with:
Elias Aboutanios Australia
Joseph Tabrikian Israel
Kristine L. Bell United States
Frankie K. W. Chan Hong Kong
Andrea Giorgetti Italy
Bernard H. Fleury Denmark
Zai Yang China
Antonia Papandreou‐Suppappola United States
Sofiène Affes Canada
Joshua N. Ash United States
Qun Wan relative to Elias Aboutanios Australia Elias Aboutanios's profile →
Citations per field
00.5×3.3×
Elias Aboutanios · 1×
Citations per year

Countries citing papers authored by Qun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Qun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 270 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015183
2 2018134
3 2009112
4 200789
5 200873
6 202062
7 201460
8 201658
9 201248
10 201746
11 201741
12 201740
13 200939
14 201939
15 201937
16 201732
17 201932
18 200829
19 201928
20 201825

About Qun Wan

Qun Wan is a scholar working on Signal Processing, Electrical and Electronic Engineering, Computational Mechanics, Aerospace Engineering and Artificial Intelligence, having authored 270 papers that have together received 2.4k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (112 papers), Direction-of-Arrival Estimation Techniques (86 papers), Speech and Audio Processing (82 papers), Target Tracking and Data Fusion in Sensor Networks (54 papers), Sparse and Compressive Sensing Techniques (49 papers), Blind Source Separation Techniques (43 papers), Advanced Adaptive Filtering Techniques (35 papers) and Microwave Imaging and Scattering Analysis (23 papers). The work is most often cited by research in Signal Processing (1.0k citations), Aerospace Engineering (846 citations), Electrical and Electronic Engineering (1.5k citations), Ocean Engineering (416 citations) and Artificial Intelligence (663 citations). Qun Wan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yimao Sun, K. C. Ho, Hewen Wei, Yanbin Zou, Zhangxin Chen, Jiyan Huang, Fei Wen, Shiwen Yang, Jihao Yin and Huaping Liu. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Signal Processing, Signal Processing, IEEE Communications Letters and IEEE Wireless Communications Letters.

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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