Chieh Hubert Lin

1.3k total citations
13 papers, 403 citations indexed

About

Chieh Hubert Lin is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Chieh Hubert Lin has authored 13 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Chieh Hubert Lin's work include Single-cell and spatial transcriptomics (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Vision and Imaging (2 papers). Chieh Hubert Lin is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Advanced Vision and Imaging (2 papers). Chieh Hubert Lin collaborates with scholars based in United States, Taiwan and South Korea. Chieh Hubert Lin's co-authors include Ziv Bar‐Joseph, Siddhartha Jain, Hannah Kim, Da-Cheng Juan, Hamim Zafar, Hwann-Tzong Chen, Yu‐Sheng Chen, Wei Wei, Jun Ding and Ming–Hsuan Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Chieh Hubert Lin

13 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chieh Hubert Lin United States 10 220 129 63 58 51 13 403
Ronaldo F. Hashimoto Brazil 14 501 2.3× 88 0.7× 80 1.3× 59 1.0× 67 1.3× 61 689
Min-Yu Huang United States 7 208 0.9× 41 0.3× 14 0.2× 69 1.2× 19 0.4× 19 342
Boris Flach Germany 4 88 0.4× 54 0.4× 13 0.2× 12 0.2× 28 0.5× 11 203
Kunbo Zhang China 11 111 0.5× 232 1.8× 18 0.3× 9 0.2× 16 0.3× 29 406
Gil Shamai Israel 7 43 0.2× 58 0.4× 40 0.6× 30 0.5× 134 2.6× 11 260
Tai-Yun Kim Australia 11 237 1.1× 37 0.3× 40 0.6× 27 0.5× 40 0.8× 29 369
Tung-Yu Wu Taiwan 7 88 0.4× 173 1.3× 21 0.3× 27 0.5× 30 0.6× 19 319
Maria Gabrani Switzerland 12 54 0.2× 164 1.3× 37 0.6× 55 0.9× 254 5.0× 39 469
Weilun Wang China 7 248 1.1× 153 1.2× 203 3.2× 4 0.1× 59 1.2× 13 477

Countries citing papers authored by Chieh Hubert Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chieh Hubert Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chieh Hubert Lin

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

All Works

13 of 13 papers shown
1.
Tu, Tao, et al.. (2025). DreaMo: Articulated 3D Reconstruction from a Single Casual Video. 2269–2279. 2 indexed citations
2.
Lin, Chieh Hubert, Hsin-Ying Lee, Willi Menapace, et al.. (2023). InfiniCity: Infinite-Scale City Synthesis. 22751–22761. 19 indexed citations
3.
Lin, Chieh Hubert, et al.. (2022). InOut: Diverse Image Outpainting via GAN Inversion. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11421–11430. 34 indexed citations
4.
Lin, Chieh Hubert, Jun Ding, & Ziv Bar‐Joseph. (2020). Inferring TF activation order in time series scRNA-Seq studies. PLoS Computational Biology. 16(2). e1007644–e1007644. 12 indexed citations
5.
Zafar, Hamim, Chieh Hubert Lin, & Ziv Bar‐Joseph. (2020). Single-cell lineage tracing by integrating CRISPR-Cas9 mutations with transcriptomic data. Nature Communications. 11(1). 3055–3055. 46 indexed citations
6.
Cheng, An-Chieh, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, & Min Sun. (2020). InstaNAS: Instance-Aware Neural Architecture Search. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3577–3584. 23 indexed citations
7.
Lin, Chieh Hubert & Ziv Bar‐Joseph. (2019). Continuous-state HMMs for modeling time-series single-cell RNA-Seq data. Bioinformatics. 35(22). 4707–4715. 29 indexed citations
8.
Lin, Chieh Hubert, et al.. (2019). COCO-GAN: Generation by Parts via Conditional Coordinating. 4511–4520. 65 indexed citations
9.
Lin, Chieh Hubert, et al.. (2019). Point-to-Point Video Generation. 10490–10499. 9 indexed citations
10.
Ding, Jun, Chieh Hubert Lin, & Ziv Bar‐Joseph. (2019). Cell lineage inference from SNP and scRNA-Seq data. Nucleic Acids Research. 47(10). e56–e56. 19 indexed citations
11.
Lin, Chieh Hubert, et al.. (2018). COCO-GAN: Conditional Coordinate Generative Adversarial Network. 2 indexed citations
12.
Lin, Chieh Hubert, Siddhartha Jain, Hannah Kim, & Ziv Bar‐Joseph. (2017). Using neural networks for reducing the dimensions of single-cell RNA-Seq data. Nucleic Acids Research. 45(17). e156–e156. 131 indexed citations
13.
Doris, Kostas, Chieh Hubert Lin, D.M.W. Leenaerts, & Arthur van Roermund. (2002). D/A conversion: amplitude and time error mapping optimization. 2. 863–866. 12 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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