Yijie Lin

651 total citations · 2 hit papers
7 papers, 481 citations indexed

About

Yijie Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yijie Lin has authored 7 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Yijie Lin's work include Domain Adaptation and Few-Shot Learning (3 papers), Single-cell and spatial transcriptomics (2 papers) and Image Enhancement Techniques (2 papers). Yijie Lin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Single-cell and spatial transcriptomics (2 papers) and Image Enhancement Techniques (2 papers). Yijie Lin collaborates with scholars based in China and United States. Yijie Lin's co-authors include Xi Peng, Jiancheng Lv, Yuanbiao Gou, Boyun Li, Zitao Liu, Jinfeng Bai, X. Liu, Yunfan Li, Peng Hu and Dezhong Peng and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Yijie Lin

7 papers receiving 477 citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction

2021 301 citations Yijie Lin, Yuanbiao Gou et al. profile →
Dual Contrastive Prediction for Incomplete Multi-View Representation Learning

2022 161 citations Yijie Lin, Yuanbiao Gou et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yijie Lin China	5	341	320	42	23	19	7	481
Zinan Zeng Singapore	5	350 1.0×	268 0.8×	78 1.9×	26 1.1×	11 0.6×	6	461
Bassoma Diallo China	8	196 0.6×	168 0.5×	35 0.8×	28 1.2×	11 0.6×	12	300
Lai Tian China	10	346 1.0×	249 0.8×	86 2.0×	20 0.9×	7 0.4×	14	469
Xiaochen Lian China	8	196 0.6×	111 0.3×	23 0.5×	49 2.1×	39 2.1×	13	331
Jinyu Cai China	7	160 0.5×	204 0.6×	18 0.4×	26 1.1×	17 0.9×	21	315
Shide Du China	11	219 0.6×	231 0.7×	33 0.8×	14 0.6×	14 0.7×	28	345
Zhiping Lin China	3	284 0.8×	320 1.0×	52 1.2×	18 0.8×	44 2.3×	4	465
Mahdi Jampour Iran	10	245 0.7×	78 0.2×	58 1.4×	37 1.6×	20 1.1×	35	326
Constantinos Constantinopoulos Greece	7	123 0.4×	198 0.6×	25 0.6×	19 0.8×	11 0.6×	14	299

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Li, Yunfan, Yijie Lin, Dezhong Peng, et al.. (2025). MetaQ: fast, scalable and accurate metacell inference via single-cell quantization. Nature Communications. 16(1). 1205–1205. 3 indexed citations

2.

Tian, Yuxin, Yijie Lin, Qing Ye, et al.. (2024). UNITE: Multitask Learning With Sufficient Feature for Dense Prediction. IEEE Transactions on Systems Man and Cybernetics Systems. 54(8). 5012–5024. 1 indexed citations

3.

Li, Haobin, et al.. (2024). A survey on deep clustering: from the prior perspective. 1(1). 4 indexed citations

4.

Li, Yunfan, Yijie Lin, Peng Hu, et al.. (2023). Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11371–11381. 6 indexed citations

5.

Li, Boyun, et al.. (2022). Unsupervised Neural Rendering for Image Hazing. IEEE Transactions on Image Processing. 31. 3987–3996. 5 indexed citations

6.

Lin, Yijie, Yuanbiao Gou, X. Liu, et al.. (2022). Dual Contrastive Prediction for Incomplete Multi-View Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–14. 161 indexed citations breakdown →

7.

Lin, Yijie, Yuanbiao Gou, Zitao Liu, et al.. (2021). COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction. 11169–11178. 301 indexed citations breakdown →

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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