Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

CLHLS

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data category: China household and social surveys · 0 papers in the last 7 days

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Chinese household, ageing, health and social surveys.

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Names searched for: Chinese Longitudinal Healthy Longevity Survey, CLHLS

Key findings#

  • From Nov 2023 to Oct 2026, 19 archived papers mentioned CLHLS in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (2).
  • CLHLS was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
  • By journal category: Statistics (1).
  • Most of them appeared in BMC Medical Research Methodology (1).
  • From 2017 to 2026 (so far), CLHLS was mentioned in 39 papers in the tracked journals, most of them in health economics and policy (27), economics (9) and statistics (2).
  • 5 of them were published in 2025, against 1 in 2017.
  • Since 2023, the institutions with the most of these papers were Peking University (3), National University of Singapore (2) and Renmin University of China (2).
  • The journals publishing most of them were SSM - Population Health (7), Social Science & Medicine (3) and International Journal for Equity in Health (3).
  • The most-cited of them is “Artificial intelligence for the study of human ageing: a systematic literature review” (Applied Intelligence, 2024), with 26 citations.
  • Papers use CLHLS most often with CHARLS (4) and Health and Retirement Study (3); it has 2 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

Mentions over 36 months#

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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
74819

Papers per year#

2017: 1 paper2018: 0 papers2019: 2 papers2020: 2 papers2021: 5 papers2022: 4 papers2023: 6 papers2024: 7 papers2025: 5 papers2026 (so far): 7 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Health Economics and Policy1020335355
Economics0001211301
Statistics0001000001
AI0000000100
All categories1022546757

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Peking University3
2National University of Singapore2
3Renmin University of China2
4Shanghai University2
5University of Helsinki2
6Wuhan University2
7Xiamen University2
8American Cancer Society1
9Beijing Jiaotong University1
10Beijing Normal University1
Countries with the most papers, since 2023
#CountryPapers
1China19
2United Kingdom4
3United States3
4Australia2
5Finland2
6Singapore2
7Colombia1
8Germany1
9Spain1
10France1
Keywords with the most papers, since 2023
#KeywordPapers
1older adults18
2China9
3Chinese Longitudinal Healthy Longevity Survey8
4gender differences4
5informal care4
6activities of daily living3
7cognitive decline3
8healthy aging3
9urban-rural differences3
10all-cause mortality2

Most-cited papers#

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.

Used together with#

Papers use CLHLS most often with CHARLS (4) and Health and Retirement Study (3); it has 2 partners in the code and data network, in the group around World Development…, Eurostat, International Energy…. The whole network →

What papers use CLHLS together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
CHARLSDataset422.6
Health and Retirement StudyDataset313.1
Papers mentioning CLHLS in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-28Integrating artificial neural network-based propensity score and outcome regression information into a multi-index propensity score framework for average causal effect estimationBMC Medical Research MethodologyJiaqin Xu, Rucheng Chen, Yaning Feng et al.Zhejiang Chinese Medical University; Shanxi University
Cite this page

Scholar4AI. (2026). CLHLS. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/clhls

@misc{scholar4ai-datasets-clhls,
  author = {{Scholar4AI}},
  title = {CLHLS},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/clhls}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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