Yi-Xuan Tang

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.

N/A

0Author DataRank · unranked

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 →

Papers

Driven by 1 paper. Top paper: “Can Reasoning Power Significantly Improve the Knowledge of Large Language Models for Chemistry?─Based on Conversations with LLMs”.

Can Reasoning Power Significantly Improve the Knowledge of Large Language Models for Chemistry?─Based on Conversations with LLMs

Journal of Chemical Information and Modeling(2025)10.1021/acs.jcim.5c01265

N/A

0.292DataRank · unranked

6 citations

Shi-Yu Long, Yi-Xuan Tang, Yue Zhao, Qiao Li, Dong-Xu Cui