Junyi Zuo

508 citations
38 papers · 395 · h-index 12

Impact in

Papers in

Junyi Zuo

35 papers receiving 385 citations

Peers

Junyi Zuo
Comparison fields: 5 of 46
  • Control and Systems Engineering 179
  • Artificial Intelligence 210
  • Aerospace Engineering 110
  • Computer Vision and Pattern Recognition 56
  • Signal Processing 24
Replace Tohid Ardeshiri with:
Tohid Ardeshiri Sweden
Won‐Sang Ra South Korea
Kui Fu China
Željko Đurović Serbia
Abhinoy Kumar Singh India
Haiyin Zhou China
Jiongqi Wang China
Bruno O. S. Teixeira Brazil
Dongliang Peng China
Murali R. Rajamani United States
Junyi Zuo relative to Tohid Ardeshiri Sweden Tohid Ardeshiri's profile →
Citations per field
00.5×1.5×
Tohid Ardeshiri · 1×
Citations per year

Countries citing papers authored by Junyi Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 202037
3 201932
4 201825
5 202223
6 201321
7 201918
8 201318
9 201914
10 201314
11 201813
12 200913
13 201710
14 20229
15 20139
16 20177
17 20157
18 20216
19 20075
20 20125

About Junyi Zuo

Junyi Zuo is a scholar working on Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 38 papers that have together received 395 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (24 papers), Fault Detection and Control Systems (14 papers), Inertial Sensor and Navigation (6 papers), Control Systems and Identification (5 papers), Video Surveillance and Tracking Methods (4 papers), Robotics and Sensor-Based Localization (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers) and Indoor and Outdoor Localization Technologies (3 papers). The work is most often cited by research in Control and Systems Engineering (179 citations), Artificial Intelligence (210 citations), Aerospace Engineering (110 citations), Computer Vision and Pattern Recognition (56 citations) and Signal Processing (24 citations). Junyi Zuo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongwei Wang, Wei Zhang, Youmin Zhang, Heping Wang, Hongbin Li, Wei Zhang, Liang Yan, Yan Liang, Wei Lian and Yizhe Zhang. Their work appears in journals such as Signal Processing, IEEE Access, Electronics Letters, Journal of Intelligent & Robotic Systems and Ecological Engineering.

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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