Wei He

7.7k citations
184 papers · 5.3k indexed · 4 hit papers · h-index 38

Wei He

155 papers receiving 5.2k citations

Hit Papers

UANet: An U...472013202620172021200400600

Peers

Wei He
Comparison fields: 5 of 140
  • Computational Mathematics 274
  • Media Technology 3.2k
  • Computer Vision and Pattern Recognition 3.1k
  • Computational Mechanics 1.3k
  • Atmospheric Science 619
Replace Jonathan Cheung-Wai Chan with:
Jonathan Cheung-Wai Chan Belgium
Gangyao Kuang China
Wenzhi Liao Belgium
Lefei Zhang China
Shiming Xiang China
Zebin Wu China
Liangpei Zhang China
Leyuan Fang China
Heng-Chao Li China
Yuntao Qian China
Wei He relative to Jonathan Cheung-Wai Chan Belgium Jonathan Cheung-Wai Chan's profile →
Citations per field
00.5×1.5×2.3×
Jonathan Cheung-Wai Chan · 1×
Citations per year

Countries citing papers authored by Wei He

Since Specialization
Citations

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

Fields of papers citing papers by Wei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202413
4 20240
5 20240
6 20247
7 20245
8 202410
9 202416
10 202443
11
SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access databreakdown →
202399
12 202322
13 20234
14 202323
15 202329
16 202116
17 202166
18 2020112
19 201992
20
Review of the Study on the Measurement of Informatization Standard and the Contribution of it to Economic Growth
20060

About Wei He

Wei He is a scholar working on Media Technology, Computational Mathematics, Computer Vision and Pattern Recognition, Atmospheric Science and Computational Mechanics, having authored 184 papers that have together received 5.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (46 papers), Advanced Image Fusion Techniques (45 papers), Remote-Sensing Image Classification (42 papers), Sparse and Compressive Sensing Techniques (25 papers), Remote Sensing and Land Use (22 papers), Remote Sensing in Agriculture (15 papers), Remote Sensing and LiDAR Applications (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Computational Mathematics (274 citations), Media Technology (3.2k citations), Computer Vision and Pattern Recognition (3.1k citations), Computational Mechanics (1.3k citations) and Atmospheric Science (619 citations). Wei He has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hongyan Zhang, Huanfeng Shen, Liangpei Zhang, Naoto Yokoya, Liangpei Zhang, Yong Chen, Ting‐Zhu Huang, Qiangqiang Yuan, Xi-Le Zhao and Qibin Zhao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Measurement and IEEE Geoscience and Remote Sensing Letters.

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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