Shuguo Jiang

788 citations
12 papers · 603 · 1 hit paper · h-index 9

Impact in

Papers in

Shuguo Jiang

11 papers receiving 594 citations

Shuguo Jiang's Hit Papers

A survey: Deep learning for hyperspectral image classification with few labeled samples 2021 · 287 citations
2870+1+3Years since publication50100150200250

Peers

Shuguo Jiang
Comparison fields: 5 of 69
  • Media Technology 468
  • Atmospheric Science 200
  • Computer Vision and Pattern Recognition 174
  • Computational Mathematics 3
  • Analytical Chemistry 40
Replace Erlei Zhang with:
Erlei Zhang China
Xuanwen Tao Spain
Zhaohui Xue China
Ruoxi Song China
Boao Qin China
Miaomiao Liang China
Na Chen China
Xiong Tan China
Guangrui Zhao China
Shuguo Jiang relative to Erlei Zhang China Erlei Zhang's profile →
Citations per field
00.5×1.5×2.2×
Erlei Zhang · 1×
Citations per year

Countries citing papers authored by Shuguo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shuguo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Shuguo 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 Shuguo Jiang Line = papers co-authored together Shuguo Jiang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
A survey: Deep learning for hyperspectral image classification with few labeled samples
Hit paper breakdown →
2021287
2 2022114
3 202161
4 202346
5 202334
6 202419
7 202319
8 20238
9 20218
10 20245
11 20192
12 20250

About Shuguo Jiang

Shuguo Jiang is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Ecology, Artificial Intelligence and Atmospheric Science, having authored 12 papers that have together received 603 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Image Fusion Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Remote Sensing and Land Use (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Remote Sensing in Agriculture (2 papers) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Media Technology (468 citations), Atmospheric Science (200 citations), Computer Vision and Pattern Recognition (174 citations), Computational Mathematics (3 citations) and Analytical Chemistry (40 citations). Shuguo Jiang has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Sen Jia, Meng Xu, Zhijie Lin, Nanying Li, Shiqi Yu, Shuyu Zhang, Xiuping Jia, Xi Zhou, Weiwei Sun and Qiang Huang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and PubMed.

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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