IMRE NEWS
IMRE Researchers Listed Among World's Top 2% Scientists Identified by Stanford University

(Top left to right: Lim Y.C. Jason, Arseniy I. Kuznetsov, Seh Zhi Wei, Wang Shijie, Prof Xu Zhengtao, Chi Dongzhi, Prof Loh Xian Jun, Liu Zhaolin, Zhang Song Lin, Prof Ramamurty Upadrasta, Yao Kui, Zhang Jintao, Su Xiaodi, Zhu Di, Liu Hongfei)
IMRE researchers are featured among the World's top 2% of scientists in their respective fields on the recently released list by Stanford University, published in Elsevier on 4 October 2023.
List of IMRE scientists (in no particular order):
Scientist | Subject Field |
Lim Y.C. Jason | Chemistry |
Loh Xian Jun | Chemistry |
Su Xiaodi | Chemistry |
Xu Zhengtao | Chemistry |
Liu Zhaolin | Enabling & Strategic Technologies |
Ramamurty Upadrasta | Enabling & Strategic Technologies |
Seh Zhi Wei | Enabling & Strategic Technologies |
Zhang Jintao | Enabling & Strategic Technologies |
Zhang Song Lin | Enabling & Strategic Technologies |
Zhu Di | Enabling & Strategic Technologies |
Arseniy I. Kuznetsov | Physics & Astronomy |
Chi Dongzhi | Physics & Astronomy |
Liu Hongfei | Physics & Astronomy |
Wang Shijie | Physics & Astronomy |
Yao Kui | Physics & Astronomy |
The single-year dataset considered over 200,000 scientists from 22 scientific fields and 174 subfields. The calculations were performed using all Scopus author profiles as of October 1, 2023. The database of top-cited scientists provides standardised information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score).
We're extremely proud of our researchers at IMRE. Their dedication, determination, and innovative thinking have had a significant impact in their respective fields. Here's a big shout-out to our researchers whose tireless work is reshaping the world of science in new and meaningful ways.
Source:
Ioannidis, John P.A. (2023), “October 2023 data-update for "Updated science-wide author databases of standardized citation indicators"”, Elsevier Data Repository, V6, doi: 10.17632/btchxktzyw.6
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