Bijie Bai

1.9k total citations · 1 hit paper
38 papers, 1.1k citations indexed

About

Bijie Bai is a scholar working on Artificial Intelligence, Media Technology and Biophysics. According to data from OpenAlex, Bijie Bai has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Media Technology and 12 papers in Biophysics. Recurrent topics in Bijie Bai's work include Neural Networks and Reservoir Computing (15 papers), Digital Holography and Microscopy (10 papers) and Cell Image Analysis Techniques (10 papers). Bijie Bai is often cited by papers focused on Neural Networks and Reservoir Computing (15 papers), Digital Holography and Microscopy (10 papers) and Cell Image Analysis Techniques (10 papers). Bijie Bai collaborates with scholars based in United States, China and Türkiye. Bijie Bai's co-authors include Aydogan Özcan, Xilin Yang, Yuzhu Li, Mona Jarrahi, Jingxi Li, Yi Luo, Hongda Wang, Tianyi Gan, Yijie Zhang and Tairan Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bijie Bai

37 papers receiving 997 citations

Hit Papers

Deep learning-enabled virtual histological staining of bi... 2023 2026 2024 2025 2023 50 100 150
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.

  1. Deep learning-enabled virtual histological staining of biological samples
    2023 150 citations Bijie Bai, Xilin Yang et al. Light Science & Applications profile →

Peers

Bijie Bai
Jingxi Li United States
Tairan Liu United States
Ata Mahjoubfar United States
Kevin de Haan United States
Hongda Wang United States
Chao He United Kingdom
Jiamiao Yang China
Muhammed Veli United States
Yiyin Jin United States
Guohua Wu China
Jingxi Li United States
Bijie Bai
Citations per year, relative to Bijie Bai Bijie Bai (= 1×) peers Jingxi Li

Countries citing papers authored by Bijie Bai

Since Specialization
Citations

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

Fields of papers citing papers by Bijie Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bijie Bai

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

All Works

20 of 20 papers shown
1.
Gigli, Carlo, Bijie Bai, Tianyi Gan, et al.. (2024). Subwavelength imaging using a solid-immersion diffractive optical processor. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4(1). 13 indexed citations
2.
Yang, Xilin, Bijie Bai, Yijie Zhang, et al.. (2024). Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning. Nature Communications. 15(1). 7978–7978. 7 indexed citations
3.
Zhang, Dehui�, Xu Dong, Yuhang Li, et al.. (2024). Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array. Nature Communications. 15(1). 2433–2433. 11 indexed citations
4.
Li, Jingxi, Tianyi Gan, Bijie Bai, et al.. (2023). Massively parallel universal linear transformations using a wavelength-multiplexed diffractive optical network. Advanced Photonics. 5(1). 58 indexed citations
5.
Park, Ju Yeon, Bijie Bai, DongHun Ryu, et al.. (2023). Artificial intelligence-enabled quantitative phase imaging methods for life sciences. Nature Methods. 20(11). 1645–1660. 68 indexed citations
6.
Li, Jingxi, Tianyi Gan, Yifan Zhao, et al.. (2023). Unidirectional imaging using deep learning–designed materials. Science Advances. 9(17). eadg1505–eadg1505. 34 indexed citations
7.
Bai, Bijie, Heming Wei, Xilin Yang, et al.. (2023). Data‐Class‐Specific All‐Optical Transformations and Encryption. Advanced Materials. 35(31). e2212091–e2212091. 33 indexed citations
8.
Yang, Xilin, et al.. (2023). Universal linear intensity transformations using spatially incoherent diffractive processors. Light Science & Applications. 12(1). 195–195. 43 indexed citations
9.
Bai, Bijie, Xilin Yang, Yuzhu Li, et al.. (2023). Deep learning-enabled virtual histological staining of biological samples. Light Science & Applications. 12(1). 57–57. 150 indexed citations breakdown →
10.
Bai, Bijie, Yuhang Li, Yi Luo, et al.. (2023). All-optical image classification through unknown random diffusers using a single-pixel diffractive network. Light Science & Applications. 12(1). 69–69. 49 indexed citations
11.
Zhang, Yijie, Luzhe Huang, Tairan Liu, et al.. (2022). Virtual Staining of Defocused Autofluorescence Images of Unlabeled Tissue Using Deep Neural Networks. SHILAP Revista de lepidopterología. 2022. 16 indexed citations
12.
Bai, Bijie, Yi Luo, Tianyi Gan, et al.. (2022). To image, or not to image: class-specific diffractive cameras with all-optical erasure of undesired objects. arXiv (Cornell University). 2(1). 62 indexed citations
13.
Bai, Bijie, Hongda Wang, Yuzhu Li, et al.. (2022). Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning. SHILAP Revista de lepidopterología. 2022. 9786242–9786242. 39 indexed citations
14.
Li, Yuhang, Yi Luo, Bijie Bai, & Aydogan Özcan. (2022). Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers. IEEE Journal of Selected Topics in Quantum Electronics. 29(2: Optical Computing). 1–17. 10 indexed citations
15.
Li, Yuzhu, Tairan Liu, Hatice Ceylan Koydemir, et al.. (2022). Deep Learning-Enabled Detection and Classification of Bacterial Colonies Using a Thin-Film Transistor (TFT) Image Sensor. ACS Photonics. 9(7). 2455–2466. 7 indexed citations
16.
Li, Jingxi, Xiaoran Zhang, Di Wu, et al.. (2021). Biopsy-free in vivo virtual histology of skin using deep learning. Light Science & Applications. 10(1). 233–233. 64 indexed citations
17.
Kaldas, Marian, Ann K. Rosenthal, Bijie Bai, et al.. (2021). Calcium pyrophosphate crystal size and characteristics. SHILAP Revista de lepidopterología. 3(1). 100133–100133. 8 indexed citations
18.
Wang, Hongda, Hatice Ceylan Koydemir, Yunzhe Qiu, et al.. (2020). Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning. Light Science & Applications. 9(1). 118–118. 126 indexed citations
19.
Bai, Bijie, Hongda Wang, Tairan Liu, et al.. (2019). Pathological crystal imaging with single‐shot computational polarized light microscopy. Journal of Biophotonics. 13(1). e201960036–e201960036. 20 indexed citations
20.
Zhang, Yibo, Mengxing Ouyang, Aniruddha Ray, et al.. (2019). Computational cytometer based on magnetically modulated coherent imaging and deep learning. Light Science & Applications. 8(1). 91–91. 24 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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