Hongjun Su

137 papers receiving 3.9k citations

Hongjun Su's Hit Papers

Hyperspectral Anomaly Detection: A survey 2021 · 214 citations
2140+3+7Years since publication100200300400500

Peers

Hongjun Su
Comparison fields: 5 of 125
  • Media Technology 2.8k
  • Atmospheric Science 1.7k
  • Computer Vision and Pattern Recognition 1.2k
  • Computational Mathematics 21
  • Analytical Chemistry 218
Replace Yunsong Li with:
Yunsong Li China
Ying Li China
Behnood Rasti Germany
Aleksandra Pižurica Belgium
Yong Ma China
Yanfeng Gu China
Jiangtao Peng China
Mercedes E. Paoletti Spain
Filiberto Pla Spain
Wen Yang China
Hongjun Su relative to Yunsong Li China Yunsong Li's profile →
Citations per field
00.5×4.1×
Yunsong Li · 1×
Citations per year

Countries citing papers authored by Hongjun Su

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
Hit paper breakdown →
2015590
2 2010230
3
Hyperspectral Anomaly Detection: A survey
Hit paper breakdown →
2021214
4 2014203
5 2014167
6 2020147
7 2015145
8 1980117
9 2020104
10 2016100
11 201594
12 199788
13 202085
14 201184
15 201884
16 202076
17 201869
18 202069
19 201659
20 201455

About Hongjun Su

Hongjun Su is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Artificial Intelligence and Ecology, having authored 147 papers that have together received 4.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (94 papers), Remote Sensing and Land Use (65 papers), Advanced Image Fusion Techniques (22 papers), Face and Expression Recognition (13 papers), Remote Sensing in Agriculture (13 papers), Advanced Chemical Sensor Technologies (12 papers), Image Retrieval and Classification Techniques (10 papers) and Astronomy and Astrophysical Research (9 papers). The work is most often cited by research in Media Technology (2.8k citations), Atmospheric Science (1.7k citations), Computer Vision and Pattern Recognition (1.2k citations), Computational Mathematics (21 citations) and Analytical Chemistry (218 citations). Hongjun Su has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Qian Du, Peijun Du, Wei Li, Chen Chen, Zhaoyue Wu, Yehua Sheng, Zhaohui Xue, Yang He, Huihui Zhang and Kui Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and Remote Sensing.

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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