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

Jie Li

University of California, Berkeley

ORCID: 0000-0002-4727-1786
Biochemistry, Genetics and Molecular BiologyComputer ScienceMaterials 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 2%percentile
3.7Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

NewtonNet: a Newtonian message passing network for deep learning of interatomic potentials and forces

Digital Discovery(2022)10.1039/d2dd00008c
Top 6%
3.7DataRank
Top 6%134 citations

Jie Li, Xingyi Guan, Oufan Zhang, Akshaya Kumar Das, Christopher J. Stein +8 more

Papers

Driven by 12 papers — median percentile 94. Top paper: “NewtonNet: a Newtonian message passing network for deep learning of interatomic potentials and forces”.

NewtonNet: a Newtonian message passing network for deep learning of interatomic potentials and forces

Digital Discovery(2022)10.1039/d2dd00008c
Top 6%
3.7DataRank
Top 6%134 citations

Jie Li, Xingyi Guan, Oufan Zhang, Akshaya Kumar Das, Christopher J. Stein +8 more

Accurate prediction of chemical shifts for aqueous protein structure on “Real World” data

Chemical Science(2020)10.1039/c9sc06561j
N/A
0DataRank · unranked
68 citations

Kochise Bennett, Yuchen Liu, Michael V. Martin, Teresa Head‐Gordon, Jie Li

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

ChemRxiv(2020)10.26434/chemrxiv.12986075
N/A
0DataRank · unranked
4 citations

Jie Li, Hyun Dong Ha, Jakob C. Dahl, Justin C. Ondry, Ivan A. Moreno‐Hernandez +3 more

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

ChemRxiv(2020)10.26434/chemrxiv.12986075.v1
N/A
0DataRank · unranked
4 citations

Jie Li, Hyun Dong Ha, Jakob C. Dahl, Teresa Head‐Gordon, A. Paul Alivisatos +1 more

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

JACS Au(2021)10.1021/jacsau.0c00030
N/A
0DataRank · unranked
93 citations

Jie Li, Hyun Dong Ha, Jakob C. Dahl, Justin C. Ondry, Ivan A. Moreno‐Hernandez +3 more

AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles

ChemRxiv(2021)10.26434/chemrxiv.12986075.v2
N/A
0DataRank · unranked
1 citations

Jie Li, Hyun Dong Ha, Jakob C. Dahl, Justin C. Ondry, Ivan A. Moreno‐Hernandez +3 more

Local Disordered Region Sampling (LDRS) for ensemble modeling of proteins with experimentally undetermined or low confidence prediction segments

Bioinformatics(2023)10.1093/bioinformatics/btad739
N/A
0DataRank · unranked
17 citations

João M. C. Teixeira, Oufan Zhang, Thomas E. Tsangaris, Jie Li, Claudiu C. Gradinaru +3 more

Efficient Calculation of NMR Shielding Constants Using Composite Method Approximations and Locally Dense Basis Sets

Journal of Chemical Theory and Computation(2023)10.1021/acs.jctc.2c00933
N/A
0DataRank · unranked
16 citations

Zhe Wang, Jie Li, Jonathan Wong, Xiao Liu, Brad Ganoe +3 more

An in-silico NMR laboratory for nuclear magnetic shieldings computed via finite fields: Exploring nucleus-specific renormalizations of MP2 and MP3

The Journal of Chemical Physics(2023)10.1063/5.0145130
N/A
0DataRank · unranked
8 citations

Brad Ganoe, Xiao Liu, Tim Stauch, Joonho Lee, Jiashu Liang +6 more

Local Disordered Region Sampling (LDRS) for Ensemble Modeling of Proteins with Experimentally Undetermined or Low Confidence Prediction Segments

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.25.550520
N/A
0DataRank · unranked
3 citations

João M. C. Teixeira, Oufan Zhang, Thomas E. Tsangaris, Jie Li, Claudiu C. Gradinaru +3 more

Learning to Make Chemical Predictions: The Interplay of Feature Representation, Data, and Machine Learning Methods

Chem(2020)10.1016/j.chempr.2020.05.014
N/A
0DataRank · unranked
119 citations

Jie Li, Farnaz Heidar‐Zadeh, Yuchen Liu, Xingyi Guan, Teresa Head‐Gordon +1 more

UCBShift 2.0: Bridging the Gap from Backbone to Side Chain Protein Chemical Shift Prediction for Protein Structures

Journal of the American Chemical Society(2024)10.1021/jacs.4c10474
N/A
0DataRank · unranked
13 citations

Jie Li, Robert Konrat, Gerald Platzer, Teresa Head‐Gordon, Aleksandra L. Ptaszek