Moran Ju

603 citations
31 papers · 429 indexed · h-index 9

Moran Ju

27 papers receiving 414 citations

Peers

Moran Ju
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 208
  • Media Technology 66
  • Aerospace Engineering 154
  • Industrial and Manufacturing Engineering 24
  • Space and Planetary Science 3
Replace Chenhongyi Yang with:
Chenhongyi Yang United Kingdom
Zongyang Zhao China
Dong‐Geol Choi South Korea
Zhucun Xue China
Guofeng Tong China
Visesh Chari India
Xiang Yuan China
Yuxuan Li China
Yunzuo Zhang China
Moran Ju relative to Chenhongyi Yang United Kingdom Chenhongyi Yang's profile →
Citations per field
00.5×2.8×
Chenhongyi Yang · 1×
Citations per year

Countries citing papers authored by Moran Ju

Since Specialization
Citations

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

Fields of papers citing papers by Moran Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20245
5 20242
6 20245
7 202313
8 202312
9 20232
10 20234
11 20237
12 20234
13 20237
14 20224
15 202251
16 202214
17 20217
18 20213
19 202111
20 20182

About Moran Ju

Moran Ju is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Oceanography and Artificial Intelligence, having authored 31 papers that have together received 429 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Infrared Target Detection Methodologies (7 papers), Advanced SAR Imaging Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Underwater Acoustics Research (3 papers), Medical Image Segmentation Techniques (3 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers) and Advanced Measurement and Detection Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Media Technology (66 citations), Aerospace Engineering (154 citations), Industrial and Manufacturing Engineering (24 citations) and Space and Planetary Science (3 citations). Moran Ju has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Haibo Luo, Guangqi Liu, Zhongbo Wang, Bin Hui, Zheng Chang, Qing Hu, Qinghai Ding, Xiang Li, Min Sha and Jingbo Zhang. Their work appears in journals such as Applied Sciences, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, IEEE Sensors Journal and Multimedia Tools and Applications.

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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