Zhenwei Shi

14.9k citations
271 papers · 9.8k indexed · 8 hit papers · h-index 47

Impact in

Papers in

Zhenwei Shi

250 papers receiving 9.6k citations

Hit Papers

CDMamba: Incorporating Local Clues Into Mamba for Remote Sensing Image Binary Change Detection 2025 · 27 citations
2720202026202220244008001.2k

Peers

Zhenwei Shi
Comparison fields: 5 of 155
  • Media Technology 5.3k
  • Computer Vision and Pattern Recognition 4.8k
  • Atmospheric Science 2.0k
  • Aerospace Engineering 1.2k
  • Artificial Intelligence 1.3k
Replace Lefei Zhang with:
Lefei Zhang China
Jing Yao China
Danfeng Hong China
Mihai Datcu Germany
Naoto Yokoya Japan
Yongjun Zhang China
Farid Melgani Italy
Kun Fu China
Gui-Song Xia China
Lianru Gao China
Zhenwei Shi relative to Lefei Zhang China Lefei Zhang's profile →
Citations per field
00.5×1.5×2.1×
Lefei Zhang · 1×
Citations per year

Countries citing papers authored by Zhenwei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhenwei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20250
5 20256
6 20252
7 20242
8 20246
9
RSMamba: Remote Sensing Image Classification With State Space Model
Hit paper breakdown →
2024172
10 202315
11 202212
12 202218
13 202222
14 202249
15 202296
16 202011
17 202033
18 202019
19 201937
20 201928

About Zhenwei Shi

Zhenwei Shi is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Signal Processing, Analytical Chemistry and Atmospheric Science, having authored 271 papers that have together received 9.8k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (122 papers), Advanced Image Fusion Techniques (65 papers), Advanced Image and Video Retrieval Techniques (57 papers), Image and Signal Denoising Methods (36 papers), Blind Source Separation Techniques (32 papers), Advanced Neural Network Applications (28 papers), Domain Adaptation and Few-Shot Learning (27 papers) and Remote Sensing and Land Use (24 papers). The work is most often cited by research in Media Technology (5.3k citations), Computer Vision and Pattern Recognition (4.8k citations), Atmospheric Science (2.0k citations), Aerospace Engineering (1.2k citations) and Artificial Intelligence (1.3k citations). Zhenwei Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhengxia Zou, Hao Chen, Keyan Chen, Jieping Ye, Yuhong Guo, Sen Lei, Bin Pan, Xia Xu, Wenyuan Li and Chenyang Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Optik.

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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