Kejiang Wu

489 citations
20 papers · 386 · h-index 7

Impact in

Papers in

Kejiang Wu

16 papers receiving 358 citations

Peers

Kejiang Wu
Comparison fields: 5 of 39
  • Computer Graphics and Computer-Aided Design 42
  • Aerospace Engineering 218
  • Electrical and Electronic Engineering 265
  • Computational Mechanics 69
  • Computer Vision and Pattern Recognition 61
Replace Amir Masoud Molaei with:
Amir Masoud Molaei United Kingdom
F. Rivas Spain
Frank Weinmann Germany
Matthias Innmann Germany
Norman Müller Canada
Samuel M. Goldwasser United States
Refael Whyte New Zealand
Maik Stiebler Germany
M.‐G. Vallet Canada
Shinobu Ishigami Japan
Kejiang Wu relative to Amir Masoud Molaei United Kingdom Amir Masoud Molaei's profile →
Citations per field
00.5×8.5×
Amir Masoud Molaei · 1×
Citations per year

Countries citing papers authored by Kejiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kejiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kejiang Wu, 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 Kejiang Wu Line = papers co-authored together Kejiang Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002101
2 200291
3 199780
4
Substrate integrated waveguide directional couplers
200250
5 201723
6 202214
7 202112
8 20193
9 20202
10 20232
11
[Research on Space Target Recognition Algorithm Based on Spectral Information].
20162
12 20182
13 20231
14 20241
15 20241
16 20181
17 20250
18 20250
19 20250
20 20190

About Kejiang Wu

Kejiang Wu is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Ocean Engineering, Biomedical Engineering and Oceanography, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (5 papers), Microwave Engineering and Waveguides (4 papers), Microwave Imaging and Scattering Analysis (3 papers), Antenna Design and Analysis (3 papers), Geophysical Methods and Applications (3 papers), Remote-Sensing Image Classification (2 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers) and Radio Frequency Integrated Circuit Design (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (42 citations), Aerospace Engineering (218 citations), Electrical and Electronic Engineering (265 citations), Computational Mechanics (69 citations) and Computer Vision and Pattern Recognition (61 citations). Kejiang Wu has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Martin D. Levine, Y. Cassivi, H. Bu, Luca Perregrini, G. Conciauro, Dominic Deslandes, Xiaojian Xu, Wei Cui, Anthony Ghiotto and Jean‐Marc Duchamp. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Vehicular Technology, Electronics Letters 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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