Unverified50% confidenceFactExact time
Existing gender inference tools perform poorly on non-Western scholar names, especially Chinese names.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
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UnverifiedWhen applied to an independent sample of authors with Chinese names in APS journals, the model assigned a gender to every name, whereas existing pinyin-based methods left 20% to 100% of names unclassified.75% similarUnverifiedShortcut methods that rely on pinyin may systematically miss or misclassify a large number of Chinese names, thereby affecting the reliability of conclusions in scientometrics, research evaluation and analyses of academic diversity.70% similarUnverifiedThe same pinyin name may correspond to multiple Chinese character combinations, and these characters differ in gender associations, so inferring gender from pinyin alone is inherently uncertain.69% similarUnverifiedThe study demonstrates that character-level information is necessary for gender inference of Chinese names.66% similar
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