Ji Zhao

5.0k citations
56 papers · 3.8k indexed · 4 hit papers · h-index 24

Ji Zhao

54 papers receiving 3.8k citations

Hit Papers

Locality Preserving Matching4762014202620182022100200300400

Peers

Ji Zhao
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 3.2k
  • Aerospace Engineering 2.3k
  • Media Technology 672
  • Geology 328
  • Computational Mechanics 384
Replace David Suter with:
David Suter Australia
Tat-Jun Chin Australia
Kenichi Kanatani Japan
Guoshen Yu France
Masatoshi Okutomi Japan
Yuchao Dai China
Wenbing Tao China
Zhanyi Hu China
Andrea Fusiello Italy
Jungang Yang China
Ji Zhao relative to David Suter Australia David Suter's profile →
Citations per field
00.5×
David Suter · 1×
Citations per year

Countries citing papers authored by Ji Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ji Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20223
4 20212
5 20213
6 20208
7 20202
8 202019
9 20201
10 201922
11 2019174
12 20196
13 201916
14 201932
15 2018241
16 2018124
17 201614
18
Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transformingbreakdown →
2015398
19 201410
20 20110

About Ji Zhao

Ji Zhao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 56 papers that have together received 3.8k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (36 papers), Advanced Vision and Imaging (28 papers), Advanced Image and Video Retrieval Techniques (21 papers), Optical measurement and interference techniques (9 papers), Image and Object Detection Techniques (8 papers), Medical Image Segmentation Techniques (6 papers), 3D Surveying and Cultural Heritage (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Aerospace Engineering (2.3k citations) and Media Technology (672 citations). Ji Zhao has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Jiayi Ma, Jinwen Tian, Junjun Jiang, Huabing Zhou, Alan Yuille, Zhuowen Tu, Xiaojie Guo, Yong Ma, Yuan Gao and Yijia He. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Signal Processing Letters.

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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