Junjun Wu

581 citations
46 papers · 415 indexed · h-index 13
Topics
Advanced Image and Video Retrieval Techniques (15 papers)Robotics and Sensor-Based Localization (12 papers)Advanced Neural Network Applications (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors
Partner nations
ChinaDenmarkCanada

In The Last Decade

Junjun Wu

41 papers receiving 406 citations

Peers

Junjun Wu
Comparison fields: 5 of 64
  • Global and Planetary Change 135
  • Computer Vision and Pattern Recognition 110
  • Ocean Engineering 80
  • Ecology 60
  • Biomedical Engineering 60
Replace Yungang Hu with:
Yungang Hu China
José David Bermúdez Castro Brazil
Karlheinz Gutjahr Austria
Thorsten Hoeser Germany
Jiann-Yeou Rau Taiwan
Krzysztof Bakuła Poland
Youjian Hu China
A. Novo Spain
D. Schneider Germany
Jinsong Zhang China
Junjun Wu relative to Yungang Hu China Yungang Hu's profile →
Citations per field
00.5×10×15×
Yungang Hu · 1×
Citations per year

Countries citing papers authored by Junjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Junjun Wu. A scholar is included among the top collaborators of Junjun Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junjun Wu. Junjun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 15
5 2
6 3
7 12
8 8
9 2
10 7
11 3
12 17
13 33
14 9
15 47
16 13
17 4
18 11
19
Antenna performance and experimental analysis of borehole radar in geological exploration
1
20
ON THE INFLUENCES OF MOUNTAIN RANGE ON THE INSTABILITY OF DISTURBANCES
1

About Junjun Wu

Junjun Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, having authored 46 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Robotics and Sensor-Based Localization (12 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Global and Planetary Change (135 citations), Computer Vision and Pattern Recognition (110 citations) and Ocean Engineering (80 citations). Junjun Wu has collaborated with scholars based in China, Denmark and Canada. Frequent co-authors include Andreas Ibrom, Sixin Liu, Claus Beier, Leon van der Linden, Kim Pilegaard, Lei Fu, Qinghua Lu, Gitta Lasslop, Nuno Carvalhais and Yisheng Guan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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