Junwei Han

39.8k citations
497 papers · 28.8k indexed · 23 hit papers · h-index 85

Junwei Han

481 papers receiving 28.1k citations

Hit Papers

VSCode: Gene...4820142026201820224008001.2k

Peers

Junwei Han
Comparison fields: 5 of 198
  • Media Technology 9.2k
  • Computer Vision and Pattern Recognition 19.2k
  • Sensory Systems 995
  • Artificial Intelligence 5.3k
  • Cognitive Neuroscience 2.8k
Replace Ming–Hsuan Yang with:
Ming–Hsuan Yang United States
Xiaoou Tang Hong Kong
Jiaya Jia Hong Kong
Ling Shao China
Jian Sun China
Huchuan Lu China
Hao Zhang China
Sabine Süsstrunk Switzerland
Jingdong Wang China
Aude Oliva United States
Junwei Han relative to Ming–Hsuan Yang United States Ming–Hsuan Yang's profile →
Citations per field
00.5×1.7×
Ming–Hsuan Yang · 1×
Citations per year

Countries citing papers authored by Junwei Han

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20254
3 20251
4 20250
5 20248
6 20243
7 20241
8 202410
9 202328
10 20237
11 20234
12 20230
13 20234
14 202214
15 202212
16 20202
17 201824
18 201879
19
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusionbreakdown →
2017337
20 201679

About Junwei Han

Junwei Han is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience, having authored 497 papers that have together received 28.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (142 papers), Advanced Neural Network Applications (94 papers), Visual Attention and Saliency Detection (85 papers), Functional Brain Connectivity Studies (82 papers), Remote-Sensing Image Classification (64 papers), Neural dynamics and brain function (61 papers), Domain Adaptation and Few-Shot Learning (45 papers) and Image Retrieval and Classification Techniques (42 papers). The work is most often cited by research in Media Technology (9.2k citations), Computer Vision and Pattern Recognition (19.2k citations) and Sensory Systems (995 citations). Junwei Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gong Cheng, Lei Guo, Dingwen Zhang, Nian Liu, Peicheng Zhou, Xiwen Yao, Ke Li, Xingxing Xie, Feiping Nie and Xuelong Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

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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