Xiaozhen Yan

512 citations
34 papers · 314 · h-index 10

Impact in

Papers in

    • Robotics and Sensor-Based Localization 12
    • Inertial Sensor and Navigation 8
    • Underwater Vehicles and Communication Systems 15
    • Maritime Navigation and Safety 2

Xiaozhen Yan

30 papers receiving 304 citations

Peers

Xiaozhen Yan
Comparison fields: 5 of 55
  • Ocean Engineering 97
  • Computer Vision and Pattern Recognition 119
  • Aerospace Engineering 123
  • Oceanography 26
  • Automotive Engineering 24
Replace Chengkai Tang with:
Chengkai Tang China
Julien Moras France
Dongmin Choi South Korea
Jeffrey M. Walls United States
Wandong Zhang Canada
Maryam Fatemi Sweden
Sankar Nath Shome India
Thomas Collins United States
Hongbing Qiu China
Xiaozhen Yan relative to Chengkai Tang China Chengkai Tang's profile →
Citations per field
00.5×1.5×
Chengkai Tang · 1×
Citations per year

Countries citing papers authored by Xiaozhen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 202028
3 201926
4 202218
5 202216
6 201616
7 201715
8 201914
9 202014
10 201510
11 20228
12 20247
13 20197
14 20227
15 20206
16 20196
17 20255
18 20243
19 20203
20 20213

About Xiaozhen Yan

Xiaozhen Yan is a scholar working on Aerospace Engineering, Ocean Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 314 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (15 papers), Indoor and Outdoor Localization Technologies (15 papers), Robotics and Sensor-Based Localization (12 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Inertial Sensor and Navigation (8 papers), Robotic Path Planning Algorithms (5 papers), Maritime Navigation and Safety (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Ocean Engineering (97 citations), Computer Vision and Pattern Recognition (119 citations), Aerospace Engineering (123 citations), Oceanography (26 citations) and Automotive Engineering (24 citations). Xiaozhen Yan has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Qinghua Luo, Cong Hu, Yunsai Chen, Yipeng Yang, C.P. Wang, Zhenhua Luo, Liguo Wang, Kezhu Tan, Yuehua Chen and Heping Li. Their work appears in journals such as Sensors, Neural Computing and Applications, Measurement, Chemometrics and Intelligent Laboratory Systems and Measurement Science and Technology.

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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