Jie Cao

2.1k citations
108 papers · 1.5k indexed · h-index 20
Topics
Metaheuristic Optimization Algorithms Research (16 papers)Traffic Prediction and Management Techniques (14 papers)Advanced Multi-Objective Optimization Algorithms (13 papers)

In The Last Decade

Jie Cao

97 papers receiving 1.5k citations

Peers

Jie Cao
Comparison fields: 5 of 127
  • Artificial Intelligence 538
  • Control and Systems Engineering 299
  • Computer Vision and Pattern Recognition 280
  • Industrial and Manufacturing Engineering 215
  • Computer Networks and Communications 157
Replace Xiangbing Zhou with:
Xiangbing Zhou China
Mehdi Ghatee Iran
Madana Srinivas India
Haiping Ma China
İlhan Aydın Türkiye
Zheng Tang Japan
Leonardo Trujillo Mexico
Thomas Bräunl Australia
Itamar Arel United States
Xiaoyan Sun China
Jie Cao relative to Xiangbing Zhou China Xiangbing Zhou's profile →
Citations per field
00.5×4.2×
Xiangbing Zhou · 1×
Citations per year

Countries citing papers authored by Jie Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jie Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Cao. A scholar is included among the top collaborators of Jie 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 Jie Cao. Jie 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 2
2 1
3 1
4 3
5 0
6 1
7 5
8 3
9 11
10 32
11 2
12 2
13 35
14 30
15 132
16
Adaptive Multi-prototype Relation Network
1
17 2
18
Multi-feature fusion face recognition based on KRWDA algorithm under smart environment
2
19
Maneuvering target tracking based on improved "current" statistical model and AKF
1
20
Research on moving vehicles tracking algorithm based on cube model and EKF
0

About Jie Cao

Jie Cao is a scholar working on Transportation, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (16 papers), Traffic Prediction and Management Techniques (14 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (215 citations), Artificial Intelligence (538 citations) and Computer Vision and Pattern Recognition (280 citations). Jie Cao has collaborated with scholars based in China, United Kingdom and Sweden. Frequent co-authors include Fuqing Zhao, Jianxin Tang, Xiaoxu Li, Xiaoqiang Zhao, Lixin Zhang, Zhanyu Ma, Jonrinaldi Jonrinaldi, Jing‐Hao Xue, Wei Liu and Weisong Shi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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