Xiaozhong Ji

805 citations
9 papers · 268 indexed · h-index 5
Topics
Advanced Vision and Imaging (4 papers)Advanced Image Processing Techniques (4 papers)Image Processing Techniques and Applications (2 papers)
Journals
Neural Computing and ApplicationsIEEE Transactions on Games2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

In The Last Decade

Xiaozhong Ji

7 papers receiving 256 citations

Peers

Xiaozhong Ji
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 238
  • Media Technology 119
  • Artificial Intelligence 12
  • Radiology, Nuclear Medicine and Imaging 11
  • Aerospace Engineering 8
Replace Lean Fu with:
Lean Fu China
Bahetiyaer Bare China
Maitreya Suin India
Shuaiyi Huang China
Kavinder Singh India
Longcun Jin China
Ruiying Lu China
Seokil Hong Switzerland
Haoming Cai United States
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Xiaozhong Ji relative to Lean Fu China Lean Fu's profile →
Citations per field
00.5×10×13.8×
Lean Fu · 1×
Citations per year

Countries citing papers authored by Xiaozhong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhong Ji. A scholar is included among the top collaborators of Xiaozhong Ji 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 Xiaozhong Ji. Xiaozhong Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 30
5 9
6 4
7 210
8 12
9 2

About Xiaozhong Ji

Xiaozhong Ji is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 9 papers that have together received 268 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Advanced Image Processing Techniques (4 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Media Technology (119 citations), Computer Vision and Pattern Recognition (238 citations) and Instrumentation (4 citations). Xiaozhong Ji has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Ying Tai, Chengjie Wang, Feiyue Huang, Jilin Li, Yun Cao, Xinyi Zhang, Wenqing Chu, Jun‐Wei Zhu, Yirui Wu and Yan Tian. Their work appears in journals such as Neural Computing and Applications, IEEE Transactions on Games and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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