From Nov 2023 to Oct 2026, 11 archived papers mentioned China land transaction records in their title, abstract, keywords or full text, most of them in Jul 2026 (3).
No paper of the tracked journals mentioned China land transaction records in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), China land transaction records was mentioned in 11 papers in the tracked journals, most of them in economics (8) and finance (3).
4 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were University of Cambridge (2), Australian National University (1) and Baruch College (1).
The journals publishing most of them were Land Use Policy (3), The Journal of Real Estate Finance and Economics (2) and Journal of Public Economics (1).
The most-cited of them is “Does existing mixed land development promote the urban spatial composite function? Evidence from Beijing, China” (Land Use Policy, 2024), with 30 citations.
Papers use China land transaction records most often with National Bureau of Statistics of China (3); it has 1 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of….
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 land transaction records most often with National Bureau of Statistics of China (3); it has 1 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of…. The whole network →
What papers use China land transaction records together with (at least 3 papers; lift 1 = chance)
Scholar4AI. (2026). China land transaction records. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/china-land-transaction-records
@misc{scholar4ai-datasets-china-land-transaction-records,
author = {{Scholar4AI}},
title = {China land transaction records},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/china-land-transaction-records}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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