Yujia Bao

493 total citations
10 papers, 188 citations indexed

About

Yujia Bao is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Yujia Bao has authored 10 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Yujia Bao's work include BRCA gene mutations in cancer (3 papers), Topic Modeling (3 papers) and Genomics and Rare Diseases (2 papers). Yujia Bao is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Topic Modeling (3 papers) and Genomics and Rare Diseases (2 papers). Yujia Bao collaborates with scholars based in United States, China and India. Yujia Bao's co-authors include Regina Barzilay, Shiyu Chang, Mo Yu, Kevin S. Hughes, Kanhua Yin, Menghua Wu, Danielle Braun, Jingan Zhou, Preeti Singh and Jin Wang and has published in prestigious journals such as Annals of Surgical Oncology, Frontiers in Oncology and Methods in molecular biology.

In The Last Decade

Yujia Bao

10 papers receiving 184 citations

Peers

Yujia Bao

AI

MB

GENET

CR

RNMI

Robert Reihs Austria

Ana Cernea Spain

Jessica Kohan United States

Safiye Çelik United States

Shang Xue China

Josien C.A. Jenniskens Netherlands

Zheng Jing China

Karen He United States

Igor Odintsov United States

John Sharko United States

Robert Reihs Austria

Yujia Bao

66 ×0.7

AI

94 ×2.0

MB

15 ×0.6

GENET

51 ×1.9

CR

30 ×1.2

RNMI

Citations per year, relative to Yujia Bao Yujia Bao (= 1×) peers Robert Reihs

Countries citing papers authored by Yujia Bao

Since Specialization

Citations

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

Fields of papers citing papers by Yujia Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujia Bao

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

10 of 10 papers shown

1.

McKinley, Sophia K., Preeti Singh, Kanhua Yin, et al.. (2021). Disease spectrum of gastric cancer susceptibility genes. Medical Oncology. 38(5). 46–46. 9 indexed citations

2.

Zhou, Jingan, Preeti Singh, Kanhua Yin, et al.. (2021). Non-medullary Thyroid Cancer Susceptibility Genes: Evidence and Disease Spectrum. Annals of Surgical Oncology. 28(11). 6590–6600. 4 indexed citations

3.

Wang, Jin, Preeti Singh, Kanhua Yin, et al.. (2021). Disease Spectrum of Breast Cancer Susceptibility Genes. Frontiers in Oncology. 11. 663419–663419. 6 indexed citations

4.

Bao, Yujia, Menghua Wu, Shiyu Chang, & Regina Barzilay. (2020). Few-shot Text Classification with Distributional Signatures. International Conference on Learning Representations. 23 indexed citations

5.

Hughes, Kevin S., Jingan Zhou, Yujia Bao, et al.. (2019). Natural language processing to facilitate breast cancer research and management. The Breast Journal. 26(1). 92–99. 28 indexed citations

6.

Bao, Yujia, Zhengyi Deng, Yan Wang, et al.. (2019). Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. JCO Clinical Cancer Informatics. 3(3). 1–9. 33 indexed citations

7.

Deng, Zhengyi, Kanhua Yin, Yujia Bao, et al.. (2019). Validation of a Semiautomated Natural Language Processing–Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance. JCO Clinical Cancer Informatics. 3(3). 1–9. 21 indexed citations

8.

Bao, Yujia, Shiyu Chang, Mo Yu, & Regina Barzilay. (2018). Deriving Machine Attention from Human Rationales. 1903–1913. 45 indexed citations

9.

Bao, Yujia, James Thomson, Michael D. Caldwell, et al.. (2018). A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization. Methods in molecular biology. 1903. 255–267. 14 indexed citations

10.

Bao, Yujia, et al.. (2017). Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. 177–190. 5 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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