Wei Tu

577 citations
40 papers · 428 · h-index 13

Impact in

Papers in

Wei Tu

37 papers receiving 423 citations

Peers

Wei Tu
Comparison fields: 5 of 46
  • Media Technology 287
  • Computer Vision and Pattern Recognition 230
  • Acoustics and Ultrasonics 6
  • Biophysics 10
  • Biomedical Engineering 67
Replace Lilong Shi with:
Lilong Shi Canada
Tomoyuki Mishina Japan
Yangjun Ou China
Manu Gopakumar United States
Songwei Liu China
Yaohua Yi China
Huihui Yue China
Yurui Zhu China
Kaiming Nie China
Cheng Jin China
Wei Tu relative to Lilong Shi Canada Lilong Shi's profile →
Citations per field
00.5×2×3.4×
Lilong Shi · 1×
Citations per year

Countries citing papers authored by Wei Tu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 202336
3 202134
4 202026
5 202025
6 202023
7 201921
8 202021
9 202219
10 202117
11 202315
12 200814
13 201413
14 202310
15 201510
16 20219
17 20259
18 20098
19 20247
20 20237

About Wei Tu

Wei Tu is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Catalysis, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 40 papers that have together received 428 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (19 papers), Remote-Sensing Image Classification (16 papers), Image and Signal Denoising Methods (10 papers), Image Enhancement Techniques (9 papers), Catalytic Processes in Materials Science (5 papers), Electrocatalysts for Energy Conversion (4 papers), Innovative Energy Harvesting Technologies (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Media Technology (287 citations), Computer Vision and Pattern Recognition (230 citations), Acoustics and Ultrasonics (6 citations), Biophysics (10 citations) and Biomedical Engineering (67 citations). Wei Tu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Yong Yang, Shuying Huang, Hangyuan Lu, Weiguo Wan, Qingguo Wei, Yuming Fang, Yanshuai Li, Xiaomei Li, YinTang YANG and Junchao Mu. 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, IEEE Geoscience and Remote Sensing Letters, Small 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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