Jun Yan

1.6k citations
90 papers · 1.1k · h-index 18

Impact in

Papers in

    • Indoor and Outdoor Localization Technologies 36
    • Optical Wireless Communication Technologies 7
    • Advanced Wireless Communication Techniques 6
    • Speech and Audio Processing 16
    • Direction-of-Arrival Estimation Techniques 9

Jun Yan

82 papers receiving 1.1k citations

Peers

Jun Yan
Comparison fields: 5 of 112
  • Signal Processing 364
  • Aerospace Engineering 284
  • Electrical and Electronic Engineering 600
  • Ocean Engineering 127
  • Endocrinology, Diabetes and Metabolism 78
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Yang Zhang China
Guoli Wang China
Christoph Ament Germany
Baoguo Yu China
Yong Jia China
Feng Pan China
Hiroshi Ochi Japan
Tarig Ballal Saudi Arabia
Long Zhao China
T. Sathyan Australia
Jun Yan relative to Yang Zhang China Yang Zhang's profile →
Citations per field
00.5×10×13×
Yang Zhang · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017155
2 2017105
3 2017102
4 201758
5 201649
6 202039
7 202131
8 201727
9 201627
10 202026
11 202026
12 201926
13 200625
14 201722
15 202121
16 202319
17 201119
18 202117
19 201316
20 202015

About Jun Yan

Jun Yan is a scholar working on Electrical and Electronic Engineering, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (36 papers), Speech and Audio Processing (16 papers), Sparse and Compressive Sensing Techniques (12 papers), Underwater Vehicles and Communication Systems (11 papers), Direction-of-Arrival Estimation Techniques (9 papers), Machine Learning and ELM (8 papers), Optical Wireless Communication Technologies (7 papers) and Advanced Wireless Communication Techniques (6 papers). The work is most often cited by research in Signal Processing (364 citations), Aerospace Engineering (284 citations), Electrical and Electronic Engineering (600 citations), Ocean Engineering (127 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Jun Yan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaohuan Wu, Wei‐Ping Zhu, Bingcheng Zhu, Julian Cheng, Yongjin Wang, Jin‐Yuan Wang, Ruizhi Chen, Xiaofu Wu, Liang Chen and Bin Kang. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Vehicular Technology, IEEE Sensors Journal, IEEE Wireless Communications Letters and IEEE Access.

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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