Chih-Ying Deng

2.3k total citations · 1 hit paper
9 papers, 1000 citations indexed

About

Chih-Ying Deng is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Issues, ethics and legal aspects. According to data from OpenAlex, Chih-Ying Deng has authored 9 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Artificial Intelligence and 2 papers in Issues, ethics and legal aspects. Recurrent topics in Chih-Ying Deng's work include Machine Learning in Healthcare (3 papers), Nursing Diagnosis and Documentation (2 papers) and Clinical practice guidelines implementation (1 paper). Chih-Ying Deng is often cited by papers focused on Machine Learning in Healthcare (3 papers), Nursing Diagnosis and Documentation (2 papers) and Clinical practice guidelines implementation (1 paper). Chih-Ying Deng collaborates with scholars based in United States, Taiwan and Canada. Chih-Ying Deng's co-authors include Alistair E. W. Johnson, Tom Pollard, Seth J. Berkowitz, Steven Horng, Roger G. Mark, Matthew P. Lungren, Nathaniel R. Greenbaum, Yun‐Chung Cheung, Yu‐Ching Lin and Edward T. Moseley and has published in prestigious journals such as PLoS ONE, CHEST Journal and American Journal of Roentgenology.

In The Last Decade

Chih-Ying Deng

9 papers receiving 985 citations

Hit Papers

MIMIC-CXR, a de-identified publicly available database of... 2019 2026 2021 2023 2019 250 500 750
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. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
    2019 773 citations Alistair E. W. Johnson, Tom Pollard et al. Scientific Data profile →

Peers

Chih-Ying Deng
Gregory Patrick Veldhuizen Germany
Colin B. Compas United States
Nathaniel R. Greenbaum United States
Laritza Rodriguez United States
Christian Bluethgen Switzerland
Joy T. Wu United States
Subhi J. Al’Aref United States
Rodolfo Acatauassú Nunes Brazil
Yiyue Lou United States
Gilbert Lim Singapore
Gregory Patrick Veldhuizen Germany
Chih-Ying Deng
Citations per year, relative to Chih-Ying Deng Chih-Ying Deng (= 1×) peers Gregory Patrick Veldhuizen

Countries citing papers authored by Chih-Ying Deng

Since Specialization
Citations

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

Fields of papers citing papers by Chih-Ying Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih-Ying Deng. 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 Chih-Ying Deng. The network helps show where Chih-Ying Deng may publish in the future.

Co-authorship network of co-authors of Chih-Ying Deng

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

All Works

9 of 9 papers shown
1.
Deng, Chih-Ying, Miguel Ángel Armengol de la Hoz, Christina Chen, et al.. (2023). A Large-Scale Multicenter Retrospective Study on Nephrotoxicity Associated With Empiric Broad-Spectrum Antibiotics in Critically Ill Patients. CHEST Journal. 164(2). 355–368. 14 indexed citations
2.
Lindvall, Charlotta, Chih-Ying Deng, Nicole Agaronnik, et al.. (2022). Deep Learning for Cancer Symptoms Monitoring on the Basis of Electronic Health Record Unstructured Clinical Notes. JCO Clinical Cancer Informatics. 6(6). e2100136–e2100136. 19 indexed citations
3.
Lindvall, Charlotta, Chih-Ying Deng, Edward T. Moseley, et al.. (2021). Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial. Journal of Pain and Symptom Management. 63(1). e29–e36. 51 indexed citations
4.
Deng, Chih-Ying, et al.. (2021). Mining heterogeneous clinical notes by multi-modal latent topic model. PLoS ONE. 16(4). e0249622–e0249622. 5 indexed citations
5.
Yang, Ching‐Sheng, et al.. (2021). Aging Process of Lateral Facial Fat Compartments: A Retrospective Study. Aesthetic Surgery Journal. 41(6). NP247–NP254. 11 indexed citations
6.
Huang, Kexin, Abhishek Singh, Sitong Chen, et al.. (2020). Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation. 94–100. 36 indexed citations
7.
Johnson, Alistair E. W., Tom Pollard, Seth J. Berkowitz, et al.. (2019). MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports. Scientific Data. 6(1). 317–317. 773 indexed citations breakdown →
8.
Deng, Chih-Ying, Yu‐Hsiang Juan, Yun‐Chung Cheung, et al.. (2018). Quantitative analysis of enhanced malignant and benign lesions on contrast-enhanced spectral mammography. British Journal of Radiology. 91(1086). 20170605–20170605. 45 indexed citations
9.
Deng, Chih-Ying, Yu‐Ching Lin, Jim S. Wu, et al.. (2018). Progressive Sarcopenia in Patients With Colorectal Cancer Predicts Survival. American Journal of Roentgenology. 210(3). 526–532. 46 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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