From Nov 2023 to Oct 2026, 77 archived papers mentioned China Labor-force Dynamics Survey (CLDS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2025 (5).
No paper of the tracked journals mentioned China Labor-force Dynamics Survey (CLDS) in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), China Labor-force Dynamics Survey (CLDS) was mentioned in 83 papers in the tracked journals, most of them in health economics and policy (31), economics (11) and operations research (11).
30 of them were published in 2025, against 2 in 2017.
Since 2023, the institutions with the most of these papers were Amsterdam Public Health (5), University College London (5) and University of Amsterdam (5).
The journals publishing most of them were Health Research Policy and Systems (18), Journal of Public Health Policy (3) and Ecological Economics (3).
The most-cited of them is “Subjective well-being in China: how much does commuting matter?” (Transportation, 2017), with 112 citations.
Papers use China Labor-force Dynamics Survey (CLDS) most often with China Household Finance Survey (CHFS) (3) and National Bureau of Statistics of China (3); it has 2 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of….
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)
Tamika M. Wopereis, Sanne Coosje Dijkstra, Joline J. Wierda et al.
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 China Labor-force Dynamics Survey (CLDS) most often with China Household Finance Survey (CHFS) (3) and National Bureau of Statistics of China (3); it has 2 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of…. The whole network →
What papers use China Labor-force Dynamics Survey (CLDS) together with (at least 3 papers; lift 1 = chance)
Scholar4AI. (2026). China Labor-force Dynamics Survey (CLDS). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/china-labor-force-dynamics-survey-clds
@misc{scholar4ai-datasets-china-labor-force-dynamics-survey-clds,
author = {{Scholar4AI}},
title = {China Labor-force Dynamics Survey (CLDS)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/china-labor-force-dynamics-survey-clds}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).