Chengxi Han

11 papers receiving 403 citations

Chengxi Han's Hit Papers

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model 2025 · 34 citations
340+1+2Years since publication4080120

Peers

Chengxi Han
Comparison fields: 5 of 47
  • Media Technology 276
  • Atmospheric Science 148
  • Computer Vision and Pattern Recognition 85
  • Ecology 67
  • Geography, Planning and Development 12
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Pan Chen China
Baipeng Li China
Weihuan Deng China
Meiqi Hu China
Sunan Shi China
Haotian Zhang China
Huiwei Jiang China
Pengyuan Lv China
A. Rubis Russia
Chengxi Han relative to Pan Chen China Pan Chen's profile →
Citations per field
00.5×1.5×
Pan Chen · 1×
Citations per year

Countries citing papers authored by Chengxi Han

Since Specialization
Citations

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

Fields of papers citing papers by Chengxi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images
Hit paper breakdown →
2023140
2 202380
3
MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining
Hit paper breakdown →
202464
4 202437
5
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Hit paper breakdown →
202534
6 202333
7 202112
8 20251
9 20251
10 20251
11 20241
12 20250
13 20240

About Chengxi Han

Chengxi Han is a scholar working on Media Technology, Ecology, Atmospheric Science, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 404 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Remote Sensing and Land Use (4 papers), Remote Sensing in Agriculture (4 papers), Advanced Optical Sensing Technologies (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Advanced Measurement and Detection Methods (1 paper), COVID-19 epidemiological studies (1 paper) and Greenhouse Technology and Climate Control (1 paper). The work is most often cited by research in Media Technology (276 citations), Atmospheric Science (148 citations), Computer Vision and Pattern Recognition (85 citations), Ecology (67 citations) and Geography, Planning and Development (12 citations). Chengxi Han has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Chen Wu, Meiqi Hu, Hongruixuan Chen, Haonan Guo, Jiepan Li, Bo Du, Liangpei Zhang, Di Wang, Jing Zhang and Dacheng Tao. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, IEEE Geoscience and Remote Sensing Letters, IEEE Geoscience and Remote Sensing Magazine and IEEE Transactions on Geoscience 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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