Yi Guo

1.3k citations
74 papers · 804 indexed · h-index 17

Impact in

Papers in

Yi Guo

68 papers receiving 775 citations

Peers

Yi Guo
Comparison fields: 5 of 101
  • Computational Mathematics 51
  • Media Technology 208
  • Computer Vision and Pattern Recognition 308
  • Artificial Intelligence 230
  • Signal Processing 66
Replace Ivica Kopriva with:
Ivica Kopriva Croatia
Shanmin Pang China
Michaël Gharbi United States
Feiyun Zhu China
Morteza Mardani United States
Zhongyu Li China
Naiyang Guan China
Joan Serra-Sagristà Spain
Yu‐Bang Zheng China
Wen-Sheng Chen China
Yi Guo relative to Ivica Kopriva Croatia Ivica Kopriva's profile →
Citations per field
00.5×1.5×
Ivica Kopriva · 1×
Citations per year

Countries citing papers authored by Yi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20240
6 20242
7 20242
8 202328
9 20237
10 20222
11 20221
12 20225
13 202016
14 201935
15 20183
16 201821
17 20155
18
SPATIAL SUBSPACE CLUSTERING FOR HYPERSPECTRAL DATA SEGMENTATION
201311
19 201148
20 201025

About Yi Guo

Yi Guo is a scholar working on Media Technology, Computational Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 74 papers that have together received 804 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Sparse and Compressive Sensing Techniques (10 papers), Low-power high-performance VLSI design (10 papers), Advanced Image Fusion Techniques (8 papers), AI in cancer detection (8 papers), Face and Expression Recognition (7 papers), Remote Sensing in Agriculture (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). The work is most often cited by research in Computational Mathematics (51 citations), Media Technology (208 citations), Computer Vision and Pattern Recognition (308 citations), Artificial Intelligence (230 citations) and Signal Processing (66 citations). Yi Guo has collaborated with scholars based in Australia, China and Japan. Frequent co-authors include Junbin Gao, Shengli Xie, Ming Yin, Mark Berman, Heming Sun, Feng Li, Yuanyuan Wang, Xin Lei, Jing Jiao and Jiayi Li. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Remote Sensing and Medical Image Analysis.

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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