Xiaochen Zhao

580 total citations
38 papers, 183 citations indexed

About

Xiaochen Zhao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Oncology. According to data from OpenAlex, Xiaochen Zhao has authored 38 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 4 papers in Oncology. Recurrent topics in Xiaochen Zhao's work include Sparse and Compressive Sensing Techniques (6 papers), Blind Source Separation Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Xiaochen Zhao is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Blind Source Separation Techniques (3 papers) and 3D Shape Modeling and Analysis (3 papers). Xiaochen Zhao collaborates with scholars based in China, United Kingdom and United States. Xiaochen Zhao's co-authors include Yebin Liu, Hongwen Zhang, Zerong Zheng, Boning Liu, Lizhen Wang, Lei Wang, Wei Dai, Xudong Wang, Jinli Suo and Tao Yu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Xiaochen Zhao

28 papers receiving 177 citations

Peers

Xiaochen Zhao
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 67
  • Computational Mechanics 59
  • Computer Graphics and Computer-Aided Design 35
  • Biomedical Engineering 30
  • Control and Systems Engineering 26
Replace Xiangyu Xu with:
Xiangyu Xu China
Benlin Liu China
Zhe Fu China
Jieliang Luo United States
Zhaolin Lu China
Lijun Gong China
Kai Ye China
Nikhil Mohan India
Nicolas Lefèbvre Norway
Guozhong Cheng China
Xiangyu Xu China View profile →
Citations per field, relative to Xiaochen Zhao
Xiaochen Zhao · 1×
Citations per year, relative to Xiaochen Zhao
Xiaochen Zhao · 1×

Countries citing papers authored by Xiaochen Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochen Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochen Zhao. A scholar is included among the top collaborators of Xiaochen Zhao 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 Xiaochen Zhao. Xiaochen Zhao 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 1
6 2
7 1
8 1
9 2
10 5
11 0
12 22
13 40
14 0
15 0
16 2
17 4
18 1
19 2
20 0

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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