Yijie Lin

651 citations
7 papers · 481 indexed · 2 hit papers · h-index 5
Topics
Domain Adaptation and Few-Shot Learning (3 papers)Single-cell and spatial transcriptomics (2 papers)Image Enhancement Techniques (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Yijie Lin

7 papers receiving 477 citations

Hit Papers

COMPLETER: Incomplete Multi-view Clustering via Contrasti...202120262022202420212022100200300

Peers

Yijie Lin
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 341
  • Artificial Intelligence 320
  • Media Technology 42
  • Signal Processing 23
  • Information Systems 19
Replace Jie Wen with:
Jie Wen China
Shide Du China
Lai Tian China
Zinan Zeng Singapore
Bassoma Diallo China
Jinyu Cai China
Zhiping Lin China
Carl Frélicot France
Kaiyang Liao China
Yijie Lin relative to Jie Wen China Jie Wen's profile →
Citations per field
00.5×1.6×
Jie Wen · 1×
Citations per year

Countries citing papers authored by Yijie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yijie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijie Lin

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 3
2 1
3 4
4 6
5
Dual Contrastive Prediction for Incomplete Multi-View Representation Learningbreakdown →
161
6 5
7
COMPLETER: Incomplete Multi-view Clustering via Contrastive Predictionbreakdown →
301

About Yijie Lin

Yijie Lin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 7 papers that have together received 481 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Single-cell and spatial transcriptomics (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Computational Mathematics (9 citations) and Artificial Intelligence (320 citations). Yijie Lin has collaborated with scholars based in China and United States. Frequent co-authors include Xi Peng, Jiancheng Lv, Yuanbiao Gou, Boyun Li, Zitao Liu, Jinfeng Bai, X. Liu, Peng Hu, Yunfan Li and Han Luo. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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