🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Mingjian He

Harvard University

ORCID: 0000-0002-6688-8693

Also affiliated with Massachusetts General Hospital, Harvard–MIT Division of Health Sciences and Technology, Stanford Health Care, Stanford Medicine, Massachusetts Institute of Technology, Stanford University

NeuroscienceComputer Science

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 9 papers. Top paper: “Age-Related EEG Power Reductions Cannot Be Explained by Changes of the Conductivity Distribution in the Head Due to Brain Atrophy”.

Age-Related EEG Power Reductions Cannot Be Explained by Changes of the Conductivity Distribution in the Head Due to Brain Atrophy

Frontiers in Aging Neuroscience(2021)10.3389/fnagi.2021.632310
N/A
0DataRank · unranked
21 citations

Feng Liu, Aapo Nummenmaa, Matti Hämäläinen, Bradford C. Dickerson, Patrick L. Purdon +1 more

An iterative search algorithm to identify oscillatory dynamics in neurophysiological time series

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.30.514422
N/A
0DataRank · unranked
23 citations

Mingjian He, Rodrigo G. Gutiérrez, Gladia C. Hotan, Patrick L. Purdon, Amanda M. Beck

Switching state-space modeling of neural signal dynamics

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011395
N/A
0DataRank · unranked
28 citations

Proloy Das, Gladia C. Hotan, Patrick L. Purdon, Mingjian He

A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.26.550594
N/A
0DataRank · unranked
2 citations

Mingjian He, Patrick L. Purdon, Proloy Das

A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings

eLife(2024)10.7554/elife.97107
N/A
0DataRank · unranked
1 citations

Mingjian He, Patrick L. Purdon, Proloy Das

A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings

eLife(2024)10.7554/elife.97107.3
N/A
0DataRank · unranked
3 citations

Mingjian He, Patrick L. Purdon, Proloy Das

Individualized temporal patterns dominate cortical upstate and sleep depth in driving human sleep spindle timing

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.22.581592
N/A
0DataRank · unranked
0 citations

Mingjian He, Ritchie E. Brown, Uri T. Eden, Michael J. Prerau, Shuqiang Chen

A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings

eLife(2024)10.7554/elife.97107.1
N/A
0DataRank · unranked
0 citations

Mingjian He, Patrick L. Purdon, Proloy Das

Individualized temporal patterns drive human sleep spindle timing

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2405276121
N/A
0DataRank · unranked
9 citations

Mingjian He, Ritchie E. Brown, Uri T. Eden, Michael J. Prerau, Shuqiang Chen