Tairan Liu

1.7k total citations · 2 hit papers
36 papers, 1.1k citations indexed

About

Tairan Liu is a scholar working on Atomic and Molecular Physics, and Optics, Media Technology and Biophysics. According to data from OpenAlex, Tairan Liu has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 13 papers in Media Technology and 13 papers in Biophysics. Recurrent topics in Tairan Liu's work include Digital Holography and Microscopy (19 papers), Image Processing Techniques and Applications (11 papers) and Cell Image Analysis Techniques (10 papers). Tairan Liu is often cited by papers focused on Digital Holography and Microscopy (19 papers), Image Processing Techniques and Applications (11 papers) and Cell Image Analysis Techniques (10 papers). Tairan Liu collaborates with scholars based in United States, China and Japan. Tairan Liu's co-authors include Aydogan Özcan, Yair Rivenson, Kevin de Haan, Yibo Zhang, Zhensong Wei, Luzhe Huang, Bijie Bai, Hongda Wang, Yijie Zhang and William D. Wallace and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Methods.

In The Last Decade

Tairan Liu

32 papers receiving 1.0k citations

Hit 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.

PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning

2019 255 citations Yair Rivenson, Tairan Liu et al. Light Science & Applications profile →
Deep learning-based transformation of H&E stained tissues into special stains

2021 185 citations Kevin de Haan, Yijie Zhang et al. Nature Communications profile →

Peers

Countries citing papers authored by Tairan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Tairan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tairan Liu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep learning-based detection of bacterial swarm motion using a single image 2025 ·Gut Microbes ·Yuzhu Li, Hao Li, Weijie Chen, (unknown), Nivedita Mani, Yuxuan Qi, Tairan Liu, Sridhar Mani, Aydogan Özcan	0
2	Identification and 3D reconstruction of semi-rigid base loose distress from GPR B-scan using Generative Adversarial Network 2024 ·Construction and Building Materials ·Bei Zhang, (unknown), Longting Ding, Quansheng Zang, (unknown), (unknown), Tairan Liu, Yanhui Zhong	5
3	Alginate oligosaccharides improve hepatic metabolic disturbance via regulating the gut microbiota 2024 ·Food Hydrocolloids ·Yunchang Zhang, Xiong Deng, Tairan Liu, Baocheng Hu, Bao-Yi Yu, Linshu Jiang, Zhenlong Wu, Martine Schroyen, Ming Liu	4
4	Virtual histological staining of unlabeled autopsy tissue 2024 ·Nature Communications ·Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, (unknown), (unknown), Kevin de Haan, Luzhe Huang, Yijie Zhang, Sepehr Hamidi, Anatoly Urisman, (unknown), William D. Wallace, Jonathan E. Zuckerman, Aydogan Özcan	18
5	A Novel Polarized Light Microscope for the Examination of Birefringent Crystals in Synovial Fluid 2024 ·PubMed ·John FitzGerald, (unknown), Tairan Liu, Ann K. Rosenthal, Géraldine McCarthy, Lillian Chen, Bijie Bai, (unknown), Aydogan Özcan	2
6	Artificial intelligence-enabled quantitative phase imaging methods for life sciences 2023 ·Nature Methods ·Ju Yeon Park, Bijie Bai, DongHun Ryu, Tairan Liu, (unknown), Yi Luo, (unknown), Luzhe Huang, (unknown), Yijie Zhang, (unknown), Yuzhu Li, Geon Kim, Hyun‐Seok Min, Aydogan Özcan, YongKeun Park	68
7	Self-supervised learning of hologram reconstruction using physics consistency 2023 ·Nature Machine Intelligence ·Luzhe Huang, (unknown), Tairan Liu, Aydogan Özcan	45
8	eFIN: Enhanced Fourier Imager Network for Generalizable Autofocusing and Pixel Super-Resolution in Holographic Imaging 2023 ·IEEE Journal of Selected Topics in Quantum Electronics ·(unknown), Luzhe Huang, Tairan Liu, Aydogan Özcan	13
9	Virtual Staining of Defocused Autofluorescence Images of Unlabeled Tissue Using Deep Neural Networks 2022 ·SHILAP Revista de lepidopterología ·Yijie Zhang, Luzhe Huang, Tairan Liu, (unknown), Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Özcan	16
10	Virtual Impactor-Based Label-Free Pollen Detection using Holography and Deep Learning 2022 ·ACS Sensors ·Yi Luo, Yijie Zhang, Tairan Liu, Alan S.L. Yu, Yichen Wu, Aydogan Özcan	13
11	Deep Learning-Enabled Detection and Classification of Bacterial Colonies Using a Thin-Film Transistor (TFT) Image Sensor 2022 ·ACS Photonics ·Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir, Hongda Wang, (unknown), Bijie Bai, (unknown), (unknown), (unknown), (unknown), Kazunori Yamaguchi, Aydogan Özcan	7
12	Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization 2022 ·Light Science & Applications ·(unknown), Luzhe Huang, Tairan Liu, Aydogan Özcan	62
13	Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data 2021 ·Light Science & Applications ·Yijie Zhang, Tairan Liu, Manmohan Singh, (unknown), Yilin Luo, Yair Rivenson, Kirill V. Larin, Aydogan Özcan	32
14	Biopsy-free in vivo virtual histology of skin using deep learning 2021 ·Light Science & Applications ·Jingxi Li, (unknown), Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, (unknown), Philip O. Scumpia, Aydogan Özcan	64
15	Calcium pyrophosphate crystal size and characteristics 2021 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Marian Kaldas, Ann K. Rosenthal, Bijie Bai, Tairan Liu, Aydogan Özcan, John FitzGerald	8
16	Deep learning-based transformation of H&E stained tissues into special stains breakdown → 2021 ·Nature Communications ·Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman, Tairan Liu, Anthony Sisk, Miguel F. Diaz, Kuang‐Yu Jen, (unknown), Sofia Liou, Sarah Zhang, Rana Riahi, Yair Rivenson, William D. Wallace, Aydogan Özcan	185
17	Pathological crystal imaging with single‐shot computational polarized light microscopy 2019 ·Journal of Biophotonics ·Bijie Bai, Hongda Wang, Tairan Liu, Yair Rivenson, John FitzGerald, Aydogan Özcan	20
18	PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning breakdown → 2019 ·Light Science & Applications ·Yair Rivenson, Tairan Liu, Zhensong Wei, Yibo Zhang, Kevin de Haan, Aydogan Özcan	255
19	Computational cytometer based on magnetically modulated coherent imaging and deep learning 2019 ·Light Science & Applications ·Yibo Zhang, Mengxing Ouyang, Aniruddha Ray, Tairan Liu, (unknown), Bijie Bai, Donghyuk Kim, (unknown), Yi Luo, Alborz Feizi, Katherine Tsai, (unknown), Xue‐Wei Liu, (unknown), (unknown), (unknown), Hatice Ceylan Koydemir, Omai B. Garner, Dino Di Carlo, Aydogan Özcan	24
20	Deep learning‐based color holographic microscopy 2019 ·Journal of Biophotonics ·Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Özcan	35

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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