Jinxia Yu

629 citations
72 papers · 474 · h-index 12

Impact in

Papers in

    • Target Tracking and Data Fusion in Sensor Networks 21
    • Cryptography and Data Security 10
    • Anomaly Detection Techniques and Applications 7
    • Privacy-Preserving Technologies in Data 6
    • Robotics and Sensor-Based Localization 20

Jinxia Yu

63 papers receiving 452 citations

Peers

Jinxia Yu
Comparison fields: 5 of 96
  • Control and Systems Engineering 116
  • Insect Science 56
  • Computer Vision and Pattern Recognition 89
  • Artificial Intelligence 128
  • Aerospace Engineering 70
Replace Muhammad Tufail with:
Muhammad Tufail Pakistan
Abid Ali Pakistan
Robert Burduk Poland
Alberto Viseras Germany
Felipe Leno da Silva Brazil
Juan Lin China
Martina Lippi Italy
Athanasios Ch. Kapoutsis Greece
W. Wilfred Godfrey India
Jinxia Yu relative to Muhammad Tufail Pakistan Muhammad Tufail's profile →
Citations per field
00.5×4.7×
Muhammad Tufail · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200662
2 202257
3 200631
4 200926
5 200521
6 200619
7 201917
8 200917
9 202316
10 200816
11 200815
12 202312
13
Design of distributed control system for mobile robot
20058
14 20068
15 20068
16 20078
17 20207
18 20107
19 20246
20 20196

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 72 papers that have together received 474 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (21 papers), Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (11 papers), Cryptography and Data Security (10 papers), Fault Detection and Control Systems (9 papers), Anomaly Detection Techniques and Applications (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Advanced Algorithms and Applications (6 papers). The work is most often cited by research in Control and Systems Engineering (116 citations), Insect Science (56 citations), Computer Vision and Pattern Recognition (89 citations), Artificial Intelligence (128 citations) and Aerospace Engineering (70 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, Chengyu Pan, Nan Lin, Qian Yao and Zixia Wang. Their work appears in journals such as IEEE Access, Computational Intelligence and Neuroscience, Cytokine, Nutrients and Environment International.

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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