Wei Han

6.8k citations
100 papers · 2.3k · 1 hit paper · h-index 27

Impact in

Papers in

Wei Han

92 papers receiving 2.2k citations

Wei Han's Hit Papers

A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities 2023 · 155 citations
1550+1+2Years since publication50100150

Peers

Wei Han
Comparison fields: 5 of 121
  • Media Technology 821
  • Computer Vision and Pattern Recognition 658
  • Atmospheric Science 436
  • Environmental Engineering 322
  • Ecology 486
Replace Peng Liu with:
Peng Liu China
Xin Pan China
Raffaele Gaetano France
Michele Volpi Switzerland
Nicolas H. Younan United States
Farhad Samadzadegan Iran
Manfred Ehlers Germany
Haigang Sui China
Jiasong Zhu China
Xianju Li China
Wei Han relative to Peng Liu China Peng Liu's profile →
Citations per field
00.5×1.5×
Peng Liu · 1×
Citations per year

Countries citing papers authored by Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017179
2 2020161
3 2020161
4
A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Hit paper breakdown →
2023155
5 202087
6 201875
7 202174
8 202064
9 202261
10 201754
11 202251
12 202250
13 201945
14 202244
15 202241
16 202039
17 202438
18 202338
19 201937
20 202235

About Wei Han

Wei Han is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Ecology and Environmental Engineering, having authored 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (31 papers), Advanced Image and Video Retrieval Techniques (17 papers), Remote Sensing in Agriculture (15 papers), Remote Sensing and LiDAR Applications (13 papers), Geochemistry and Geologic Mapping (12 papers), Advanced Image Fusion Techniques (11 papers), Remote Sensing and Land Use (10 papers) and Land Use and Ecosystem Services (7 papers). The work is most often cited by research in Media Technology (821 citations), Computer Vision and Pattern Recognition (658 citations), Atmospheric Science (436 citations), Environmental Engineering (322 citations) and Ecology (486 citations). Wei Han has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Lizhe Wang, Ruyi Feng, Runyu Fan, Jun Li, Ruyi Feng, Xianju Li, Weitao Chen, Xiaohan Zhang, Sheng Wang and Wenping Yuan. 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, International Journal of Applied Earth Observation and Geoinformation, ISPRS Journal of Photogrammetry and Remote Sensing 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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