Qianfen Jiao

648 citations
12 papers · 438 indexed · 1 hit paper · h-index 6
Topics
Domain Adaptation and Few-Shot Learning (7 papers)Generative Adversarial Networks and Image Synthesis (5 papers)Advanced Image Processing Techniques (4 papers)
Partner nations
ChinaHong Kong

In The Last Decade

Qianfen Jiao

12 papers receiving 427 citations

Hit Papers

Model Adaptation: Unsupervised Domain Adaptation Without ...20202026202220242020100200300

Peers

Qianfen Jiao
Comparison fields: 5 of 62
  • Artificial Intelligence 312
  • Computer Vision and Pattern Recognition 298
  • Radiology, Nuclear Medicine and Imaging 53
  • Cancer Research 33
  • Media Technology 18
Replace Shuhao Cui with:
Shuhao Cui China
Pau Panareda Busto Germany
Zhihe Lu China
Yao-Hung Hubert Tsai United States
Christian Simon Australia
Samyak Parajuli United States
Norman Mu United States
Xinyuan Chang China
Songlin Dong China
Qianfen Jiao relative to Shuhao Cui China Shuhao Cui's profile →
Citations per field
00.5×1.5×
Shuhao Cui · 1×
Citations per year

Countries citing papers authored by Qianfen Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Qianfen Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianfen Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Qianfen Jiao. A scholar is included among the top collaborators of Qianfen Jiao 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 Qianfen Jiao. Qianfen Jiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 2
3 16
4 2
5 27
6 2
7 6
8 10
9 1
10 3
11 42
12
Model Adaptation: Unsupervised Domain Adaptation Without Source Databreakdown →
326

About Qianfen Jiao

Qianfen Jiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 12 papers that have together received 438 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Artificial Intelligence (312 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Qianfen Jiao has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Hau−San Wong, Wenming Cao, Rui Li, Si Wu, Si Wu, Cheng Liu, Zhongfan Zhang, Zhiwen Yu, Wenhao Wu and Sheng Qian. Their work appears in journals such as Pattern Recognition, Information Sciences and Knowledge-Based Systems.

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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