From Nov 2023 to Oct 2026, 132 archived papers mentioned CHARLS in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2024 (8).
CHARLS was mentioned in 4 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #79 of the 246 datasets mentioned.
By journal category: Health Economics and Policy (4).
Most of them appeared in International Journal for Equity in Health (1), Population Health Metrics (1) and Social Science & Medicine (1).
From 2017 to 2026 (so far), CHARLS was mentioned in 212 papers in the tracked journals, most of them in health economics and policy (138), economics (45) and finance (11).
43 of them were published in 2025, against 3 in 2017.
Since 2023, the institutions with the most of these papers were Peking University (11), Sun Yat-sen University (8) and Central University of Finance and Economics (6).
The journals publishing most of them were SSM - Population Health (24), Social Science & Medicine (19) and Health Economics Review (11).
The most-cited of them is “A comprehensive review on financial explainable AI” (Artificial Intelligence Review, 2025), with 138 citations.
Papers use CHARLS most often with Health and Retirement Study (15), SHARE (8) and National Bureau of Statistics of China (7); it has 10 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use CHARLS most often with Health and Retirement Study (15), SHARE (8) and National Bureau of Statistics of China (7); it has 10 partners in the code and data network, in the group around World Development…, Eurostat, International Energy…. The whole network →
What papers use CHARLS together with (at least 3 papers; lift 1 = chance)
Sneha Sarah Mani, Yuan S Zhang, Lindsay C. Kobayashi et al.
Johns Hopkins University; Columbia University; University of Michigan; …
Cite this page
Scholar4AI. (2026). CHARLS. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/charls
@misc{scholar4ai-datasets-charls,
author = {{Scholar4AI}},
title = {CHARLS},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/charls}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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