Yi Chen

ChemistryChemical EngineeringEngineeringEnvironmental 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 4 papers. Top paper: “Machine learning–based inverse design for electrochemically controlled microscopic gradients of O 2 and H 2 O 2”.

Machine learning–based inverse design for electrochemically controlled microscopic gradients of O 2 and H 2 O 2

Proceedings of the National Academy of Sciences(2022)10.1073/pnas.2206321119

N/A

0DataRank · unranked

10 citations

Jingyu Wang, Benjamin B. Hoar, Shengtao Lu, Chong Liu, Yi Chen

AI-based inverse design for electrochemically controlled microscopic gradients of O2 and H2O2

ChemRxiv(2022)10.26434/chemrxiv-2022-0kw6c-v2

N/A

0DataRank · unranked

0 citations

Jingyu Wang, Ben Hoar, Shengtao Lu, Xun Guan, Chong Liu +1 more

AI-based inverse design for electrochemically controlled microscopic gradients of O2 and H2O2

ChemRxiv(2022)10.26434/chemrxiv-2022-0kw6c

N/A

0DataRank · unranked

0 citations

Jingyu Wang, Ben Hoar, Shengtao Lu, Xun Guan, Chong Liu +1 more

Bringing carbon to life via one-carbon metabolism

Trends in biotechnology(2024)10.1016/j.tibtech.2024.08.014

N/A

0DataRank · unranked

29 citations

Lilly Garcia, Yi Chen, Richard C. Law, Chong Liu, Junyoung O. Park +1 more