Xiaoyi Jiang

12.8k citations
335 papers · 7.8k indexed · 3 hit papers · h-index 39

Impact in

Papers in

Xiaoyi Jiang

313 papers receiving 7.4k citations

Hit Papers

Computer vision and pattern recognition 2007 · 1.6k citations
1.6k199620262006201650010001.5k

Peers

Xiaoyi Jiang
Comparison fields: 5 of 207
  • Computer Vision and Pattern Recognition 3.7k
  • Media Technology 596
  • Geology 348
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Ophthalmology 545
Replace Ping Li with:
Ping Li China
Shijian Lu Singapore
Alois Knoll Germany
Hanzi Mao United States
Àgata Lapedriza Spain
Paul Fieguth Canada
Jonathan Long United States
Yang Song Australia
Tsung-Yi Lin United States
Paul L. Rosin United Kingdom
Xiaoyi Jiang relative to Ping Li China Ping Li's profile →
Citations per field
00.5×2.5×
Ping Li · 1×
Citations per year

Countries citing papers authored by Xiaoyi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20246
4 20241
5 20243
6 20241
7 20241
8 20241
9 20242
10 202460
11 20243
12 202313
13 20237
14 20237
15 202222
16 202228
17 202012
18 202061
19 201921
20
Qualitative Decomposition of Range Images into Convex Parts/Objects
20002

About Xiaoyi Jiang

Xiaoyi Jiang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Signal Processing and Aging, having authored 335 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (34 papers), Medical Image Segmentation Techniques (27 papers), Advanced Image and Video Retrieval Techniques (24 papers), Robotics and Sensor-Based Localization (19 papers), Medical Imaging Techniques and Applications (19 papers), Image and Object Detection Techniques (17 papers), Advanced MRI Techniques and Applications (17 papers) and Graph Theory and Algorithms (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.7k citations), Media Technology (596 citations), Geology (348 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Ophthalmology (545 citations). Xiaoyi Jiang has collaborated with scholars based in Germany, China and Switzerland. Frequent co-authors include Horst Bunke, Nanning Zheng, Xuelong Li, George Loizou, Xuguang Lan, Daniel S. Mojon, Klaus Schäfers, Jin Xiao, Rung-Ching Chen and Christine Dewi. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Vision and Applications and Frontiers in Marine Science.

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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