Jeffrey N. Chiang

Also affiliated with UCLA Health, UCLA Medical Center, Translational Research in Oncology

Computer ScienceEngineeringMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 18 papers. Top paper: “Prior diagnoses and medications as risk factors for COVID-19 in a Los Angeles Health System”.

Prior diagnoses and medications as risk factors for COVID-19 in a Los Angeles Health System

medRxiv(2020)10.1101/2020.07.03.20145581

N/A

2.4DataRank · unranked

55 citations

Yi Ding, Malika Freund, Ruth Johnson, Tommer Schwarz, Julie M. Yabu +8 more

Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics

Communications Biology(2022)10.1038/s42003-022-04331-7

N/A

0.835DataRank · unranked

39 citations

Jeffrey N. Chiang, Pedro A. M. Mediano, Mark Nespeca, Vidya Saravanapandian, Daniel Toker +7 more

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

npj Digital Medicine(2021)10.1038/s41746-021-00411-w

N/A

0.489DataRank · unranked

25 citations

Jeffrey N. Chiang, Muneeswar Gupta Nittala, Giulia Corradetti, Liran Tiosano, Swetha Bindu Velaga +9 more

Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans

Nature Biomedical Engineering(2024)10.1038/s41551-024-01257-9

N/A

0.406DataRank · unranked

14 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar Gupta Nittala +28 more

Development and Validation of a Machine Learning Algorithm to Classify Lower Urinary Tract Symptoms

medRxiv(2022)10.1101/2022.12.25.22283168

N/A

0DataRank · unranked

2 citations

Kai Dallas, Ashley Caron, Jennifer T. Anger, Melissa R. Kaufman, A. Lenore Ackerman +1 more

Neural Complexity is a Common Denominator of Human Consciousness Across Diverse Regimes of Cortical Dynamics

SSRN Electronic Journal(2022)10.2139/ssrn.4056850

N/A

0DataRank · unranked

1 citations

Jeffrey N. Chiang, Pedro A. M. Mediano, Mark Nespeca, Vidya Saravanapandian, Daniel Toker +7 more

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

Research Square(2023)10.21203/rs.3.rs-3044914/v1

N/A

0DataRank · unranked

2 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar G. Nitalla +25 more

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

Research Square(2023)10.21203/rs.3.rs-3044914/v2

N/A

0DataRank · unranked

0 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar G. Nitalla +25 more

An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method

Computer Methods and Programs in Biomedicine(2024)10.1016/j.cmpb.2024.108283

N/A

0DataRank · unranked

14 citations

Ákos Rudas, Sung‐Soo Kim, Jeffrey N. Chiang, Anna Barney, Maxime Cannesson +1 more

A review of machine learning methods for non-invasive blood pressure estimation

Journal of Clinical Monitoring and Computing(2024)10.1007/s10877-024-01221-7

N/A

0DataRank · unranked

10 citations

Joshua Le, Ákos Rudas, Jeffrey N. Chiang, Tiffany M. Williams, Brenton Alexander +3 more

A signal processing tool for extracting features from arterial blood pressure and photoplethysmography waveforms

medRxiv(2024)10.1101/2024.03.14.24304307

N/A

0DataRank · unranked

3 citations

Ákos Rudas, Sung Soo Kim, Jeffrey N. Chiang, Maxime Cannesson, Rajarshi Pal

An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method

medRxiv(2024)10.1101/2024.03.05.24303735

N/A

0DataRank · unranked

1 citations

Ákos Rudas, Sung‐Soo Kim, Jeffrey N. Chiang, Anna Braney, Maxime Cannesson +1 more

Feature extraction tool using temporal landmarks in arterial blood pressure and photoplethysmography waveforms

npj Cardiovascular Health(2025)10.1038/s44325-025-00096-0

N/A

0DataRank · unranked

4 citations

Ákos Rudas, Tiffany M. Williams, Jeffrey N. Chiang, Anna Barney, Maxime Cannesson +1 more

A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

PLoS ONE(2020)10.1371/journal.pone.0239474

N/A

0DataRank · unranked

71 citations

Ákos Rudas, Jeffrey N. Chiang, Paul C. Adamson, Joseph E. Ebinger, Nancy Sun +15 more

Inclusion bias affects common variant discovery and replication in a health-system linked biobank

medRxiv(2025)10.1101/2025.04.04.25325131

N/A

0DataRank · unranked

2 citations

Junqiong Qiu, Sandra Lapinska, Veronica Tozzo, Jeffrey N. Chiang, Bogdan Paşaniuc +2 more

Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning

Scientific Reports(2021)10.1038/s41598-021-94913-y

N/A

0DataRank · unranked

69 citations

Nadav Rakocz, Ákos Rudas, Jeffrey N. Chiang, Sidong Wang, Ira Hofer +3 more

Pre-existing conditions in Hispanics/Latinxs that are COVID-19 risk factors

iScience(2021)10.1016/j.isci.2021.102188

N/A

0DataRank · unranked

19 citations

Yi Ding, Malika Freund, Ruth Johnson, Tommer Schwarz, Julie M. Yabu +34 more

Methylation risk scores are associated with a collection of phenotypes within electronic health record systems

npj Genomic Medicine(2022)10.1038/s41525-022-00320-1

N/A

0DataRank · unranked

58 citations

Brian L. Hill, Nadav Rakocz, Jeffrey N. Chiang, Daniel H. Geschwind, Sriram Sankararaman +5 more