Jinxia Yu

580 citations
61 papers · 389 · h-index 11

Impact in

Papers in

    • Target Tracking and Data Fusion in Sensor Networks 19
    • Cryptography and Data Security 8
    • Anomaly Detection Techniques and Applications 6
    • Robotics and Sensor-Based Localization 18

Jinxia Yu

53 papers receiving 368 citations

Peers

Jinxia Yu
Comparison fields: 5 of 95
  • Control and Systems Engineering 108
  • Insect Science 50
  • Computer Vision and Pattern Recognition 79
  • Artificial Intelligence 110
  • Aerospace Engineering 63
Replace John Collins with:
John Collins Ireland
Juan A. Fernández Spain
Shuai D. Han China
Shifeng Dong China
Yibin Yang China
Chwan-Lu Tseng Taiwan
Thomas Wiedemann Germany
Martina Lippi Italy
Weibin Wu China
Jiguang Yue China
Jinxia Yu relative to John Collins Ireland John Collins's profile →
Citations per field
00.5×4.7×
John Collins · 1×
Citations per year

Countries citing papers authored by Jinxia Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jinxia Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200655
2 202249
3 200629
4 200520
5 200618
6 200916
7 201916
8 200815
9 200815
10 202313
11 202311
12
Design of distributed control system for mobile robot
20058
13 20067
14 20067
15 20207
16 20077
17 20246
18 20196
19 20106
20 20086

About Jinxia Yu

Jinxia Yu is a scholar working on Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 61 papers that have together received 389 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (19 papers), Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (10 papers), Cryptography and Data Security (8 papers), Fault Detection and Control Systems (7 papers), Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Algorithms and Applications (5 papers). The work is most often cited by research in Control and Systems Engineering (108 citations), Insect Science (50 citations), Computer Vision and Pattern Recognition (79 citations), Artificial Intelligence (110 citations) and Aerospace Engineering (63 citations). Jinxia Yu has collaborated with scholars based in China, Ireland and Hong Kong. Frequent co-authors include Zixing Cai, Ying Tian, Yan Zhang, X. Lei, Yu Gao, Xiaobing Zou, Nan Lin, Li-hua Yu, Xiulan Zhao and Qian Yao. Their work appears in journals such as IEEE Access, PLoS ONE, Neurochemical Research, Journal of Ophthalmic Inflammation and Infection and The Visual Computer.

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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