Qixin Cao

1.8k citations
160 papers · 1.2k indexed · h-index 19
Topics
Robotic Path Planning Algorithms (38 papers)Robotics and Sensor-Based Localization (38 papers)Robot Manipulation and Learning (31 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Qixin Cao

146 papers receiving 1.2k citations

Peers

Qixin Cao
Comparison fields: 5 of 118
  • Biomedical Engineering 474
  • Control and Systems Engineering 444
  • Computer Vision and Pattern Recognition 380
  • Aerospace Engineering 192
  • Mechanical Engineering 189
Replace Faliang Chang with:
Faliang Chang China
Zhaozong Meng China
Zhipeng Wang China
Rui Huang China
Keyu Wu Singapore
Youmin Hu China
Bo Li China
P. R. McĂree Australia
Tin Lun Lam China
Qixin Cao relative to Faliang Chang China Faliang Chang's profile →
Citations per field
00.5×2.6×
Faliang Chang · 1×
Citations per year

Countries citing papers authored by Qixin Cao

Since Specialization
Citations

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

Fields of papers citing papers by Qixin Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qixin Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Qixin Cao. A scholar is included among the top collaborators of Qixin Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qixin Cao. Qixin Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 15
5 2
6 12
7 7
8 31
9 1
10 4
11
A method for color classification of fruits based on machine vision
20
12
NIR Hyperspectral Imaging Measurement of Sugar Content in Peach Using PLS Regression
6
13
Graphical Programming, Simulation and Control System for Dual-Arm Mobile Robot
2
14
Advanced Credit-Assignment CMAC Algorithm for Robust Self-Learning and Self-Maintenance Machine
3
15 12
16 1
17
Study on Grade Judgment of Fruit Vegetables Using Machine Vision
9
18 6
19 4
20 3

About Qixin Cao

Qixin Cao is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction, having authored 160 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (38 papers), Robotics and Sensor-Based Localization (38 papers) and Robot Manipulation and Learning (31 papers). The work is most often cited by research in Control and Systems Engineering (444 citations), Computer Vision and Pattern Recognition (380 citations) and Industrial and Manufacturing Engineering (139 citations). Qixin Cao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xiaoxiao Zhu, Lei Zhang, Wenguang Zhang, Yanzheng Zhao, Zhuang Fu, Jiajun Gu, Weibang Bai, Zhinan Zhang, Jay Lee and Yanping Lin. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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