Zili Yi

2.9k total citations
11 papers, 298 citations indexed

About

Zili Yi is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Zili Yi has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Media Technology. Recurrent topics in Zili Yi's work include Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Image Processing Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Zili Yi is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Image Processing Techniques (4 papers) and Advanced Vision and Imaging (3 papers). Zili Yi collaborates with scholars based in Canada, China and United States. Zili Yi's co-authors include Qiang Tang, Zhan Xu, Daesik Jang, Shekoofeh Azizi, Wei Liu, Qian He, Minglun Gong, Hao Cai, Leida Li and Zhiqin Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Signal Processing Image Communication and Journal of Visual Communication and Image Representation.

In The Last Decade

Zili Yi

8 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zili Yi Canada	5	266	51	28	24	16	11	298
Chuanxia Zheng Singapore	9	231 0.9×	33 0.6×	23 0.8×	40 1.7×	18 1.1×	17	269
Feiying Ma Singapore	6	232 0.9×	71 1.4×	17 0.6×	26 1.1×	52 3.3×	6	283
Min Jin Chong United States	6	152 0.6×	18 0.4×	21 0.8×	42 1.8×	13 0.8×	8	192
Krishna Kumar Singh United States	5	279 1.0×	66 1.3×	19 0.7×	57 2.4×	14 0.9×	12	329
Matthieu Fradet France	6	217 0.8×	39 0.8×	13 0.5×	12 0.5×	8 0.5×	16	235
Marcelo Bernardes Vieira Brazil	8	140 0.5×	19 0.4×	13 0.5×	45 1.9×	18 1.1×	52	187
Stanislav Frolov Germany	4	144 0.5×	16 0.3×	30 1.1×	30 1.3×	6 0.4×	11	205
Geoffrey Oxholm United States	5	197 0.7×	82 1.6×	12 0.4×	8 0.3×	27 1.7×	8	213
Wentao Jiang China	8	174 0.7×	13 0.3×	15 0.5×	30 1.3×	18 1.1×	30	236
Takuya Narihira United States	5	201 0.8×	69 1.4×	34 1.2×	40 1.7×	12 0.8×	7	233

Countries citing papers authored by Zili Yi

Since Specialization

Citations

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

Fields of papers citing papers by Zili Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zili Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Zili Yi. A scholar is included among the top collaborators of Zili Yi 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 Zili Yi. Zili Yi 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:

11 of 11 papers shown

1.

Chen, Tao, et al.. (2025). One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild. 1–5.

2.

Wang, Yefei, et al.. (2025). SigStyle: Signature Style Transfer via Personalized Text-to-Image Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(8). 8051–8059.

3.

Zhao, Chen, Jian Li, Zili Yi, et al.. (2025). From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective. 17935–17935.

4.

Liu, Wei, et al.. (2023). DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 189–197. 6 indexed citations

5.

Liu, Wei, et al.. (2022). XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7895–7904. 29 indexed citations

6.

Yi, Zili, Qiang Tang, Shekoofeh Azizi, Daesik Jang, & Zhan Xu. (2020). Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. 7505–7514. 238 indexed citations

7.

Yi, Zili, et al.. (2020). BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis. IEEE Transactions on Image Processing. 29. 9073–9083. 10 indexed citations

8.

Cai, Hao, Leida Li, Zili Yi, & Minglun Gong. (2019). Blind quality assessment of gamut-mapped images via local and global statistical analysis. Journal of Visual Communication and Image Representation. 61. 250–259. 3 indexed citations

9.

Yi, Zili, Zhiqin Chen, Hao Zhang, Xin Huang, & Minglun Gong. (2018). Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning. 1 indexed citations

10.

Cai, Hao, Leida Li, Zili Yi, & Minglun Gong. (2018). Towards a blind image quality evaluator using multi-scale second-order statistics. Signal Processing Image Communication. 71. 88–99. 7 indexed citations

11.

Yi, Zili, et al.. (2016). Artistic stylization of face photos based on a single exemplar. The Visual Computer. 33(11). 1443–1452. 4 indexed citations

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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