Jingjun Wu

535 citations
27 papers · 313 · 1 hit paper · h-index 10

Impact in

Papers in

Jingjun Wu

25 papers receiving 300 citations

Jingjun Wu's Hit Papers

Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection 2025 · 36 citations
360Years since publication102030

Peers

Jingjun Wu
Comparison fields: 5 of 49
  • Surfaces, Coatings and Films 41
  • Electronic, Optical and Magnetic Materials 90
  • Aerospace Engineering 73
  • Acoustics and Ultrasonics 2
  • Materials Chemistry 96
Replace Rina Sharma with:
Rina Sharma India
Yuanda Wu China
Zhichao Zhang China
Hong Ma China
Guanyu Lu United States
Nikolaos Cheimarios Greece
Tomi Koskinen Finland
Matthew Julian United States
Changbao Ma United States
Haisheng Fang China
Jingjun Wu relative to Rina Sharma India Rina Sharma's profile →
Citations per field
00.5×2.9×
Rina Sharma · 1×
Citations per year

Countries citing papers authored by Jingjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection
Hit paper breakdown →
202536
2 201831
3 199631
4 201628
5 202026
6 202123
7 201622
8 201621
9 201815
10 202012
11 20209
12 20218
13 20166
14 20225
15 20235
16 20215
17 20175
18 20175
19 20215
20 20234

About Jingjun Wu

Jingjun Wu is a scholar working on Aerospace Engineering, Biomedical Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry and Surfaces, Coatings and Films, having authored 27 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced Antenna and Metasurface Technologies (7 papers), Metamaterials and Metasurfaces Applications (7 papers), Optical Coatings and Gratings (7 papers), Nuclear materials and radiation effects (5 papers), Radioactive element chemistry and processing (5 papers), Nuclear Materials and Properties (4 papers), Advanced Surface Polishing Techniques (4 papers) and Photonic Crystals and Applications (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (41 citations), Electronic, Optical and Magnetic Materials (90 citations), Aerospace Engineering (73 citations), Acoustics and Ultrasonics (2 citations) and Materials Chemistry (96 citations). Jingjun Wu has collaborated with scholars based in China and United States. Frequent co-authors include Xin Ye, Kuibao Zhang, Liming Yang, Feng Tang, Wanguo Zheng, Laixi Sun, Weidong Wu, Jing Yang, Xue Mei Su and Xiaodong Jiang. Their work appears in journals such as Ceramics International, Optics Express, Journal of Nuclear Materials, Optical Materials and Molecules.

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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