Chiru Ge

15 papers receiving 460 citations

Chiru Ge's Hit Papers

Low-Rank and Sparse Representation for Hyperspectral Image Processing: A review 2021 · 225 citations
2250+1+3Years since publication50100150200

Peers

Chiru Ge
Comparison fields: 5 of 31
  • Media Technology 382
  • Computational Mathematics 6
  • Computer Vision and Pattern Recognition 96
  • Acoustics and Ultrasonics 2
  • Environmental Engineering 10
Replace Tatsumi Uezato with:
Tatsumi Uezato Japan
Simon Henrot France
Pengge Ma China
Joshua B. Broadwater United States
Zengfu Hou China
Jiangtao Nie China
Xin-Ru Feng China
Joan Duran Spain
B. Sathya Bama India
Rae Young Kim South Korea
Chiru Ge relative to Tatsumi Uezato Japan Tatsumi Uezato's profile →
Citations per field
00.5×2×4×6.5×
Tatsumi Uezato · 1×
Citations per year

Countries citing papers authored by Chiru Ge

Since Specialization
Citations

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

Fields of papers citing papers by Chiru Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Low-Rank and Sparse Representation for Hyperspectral Image Processing: A review
Hit paper breakdown →
2021225
2 202044
3 201943
4 202140
5 202427
6 201919
7 201915
8 202115
9 202413
10 202310
11 20166
12 20204
13 20193
14 20161
15 20201

About Chiru Ge

Chiru Ge is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Remote-Sensing Image Classification (10 papers), Advanced Image Processing Techniques (2 papers) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Media Technology (382 citations), Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (96 citations), Acoustics and Ultrasonics (2 citations) and Environmental Engineering (10 citations). Chiru Ge has collaborated with scholars based in China and United States. Frequent co-authors include Qian Du, Weiwei Sun, Wei Li, Jiangtao Peng, Xiangchao Meng, Heng-Chao Li, Yunsong Li, Jiaojiao Li, Keyan Wang and Weiying Xie. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine, Remote Sensing and Pattern Recognition.

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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