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

RESSET

Browse dataset profiles

data category: China financial and firm databases · 0 papers in the last 7 days

← Most-used data · All China financial and firm databases datasets

Financial statements, trading, ownership and governance data of Chinese listed companies.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Names searched for: RESSET

Key findings#

  • From Nov 2023 to Oct 2026, 21 archived papers mentioned RESSET in their title, abstract, keywords or full text, most of them in Jan 2024 (2).
  • No paper of the tracked journals mentioned RESSET in the last 30 days (2026-10-07 to 2026-11-05).
  • From 2017 to 2026 (so far), RESSET was mentioned in 22 papers in the tracked journals, most of them in finance (17), management (1) and operations research (1).
  • 5 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Central University of Finance and Economics (3), University of Auckland (2) and University of Hull (2).
  • The journals publishing most of them were International Review of Financial Analysis (5), Financial Innovation (5) and International Review of Economics & Finance (3).
  • The most-cited of them is “The impact of intelligent manufacturing on labor productivity: An empirical analysis of Chinese listed manufacturing companies” (International Journal of Production Economics, 2023), with 93 citations.
  • Papers use RESSET most often with CSMAR (15), CNRDS (6) and Economic Policy Uncertainty index (6); it has 11 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of….

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts, keywords and full texts)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
105621

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 0 papers2023: 2 papers2024: 9 papers2025: 5 papers2026 (so far): 6 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Finance0000001745
Management0000000100
Operations Research0000001000
Accounting0000000010
Economics0000000001
AI0000000100
All categories0000002956

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China18
2United Kingdom9
3Hong Kong3
4New Zealand2
5Australia1
6Spain1
7Japan1
8Macao1
9Netherlands1
10Pakistan1
Keywords with the most papers, since 2023
#KeywordPapers
1Chinese listed companies5
2corporate governance5
3state-owned enterprises4
4China3
5A-share market2
6climate policy uncertainty2
7financial constraints2
8institutional investors2
9investor sentiment2
10stock return prediction2

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 RESSET most often with CSMAR (15), CNRDS (6) and Economic Policy Uncertainty index (6); it has 11 partners in the code and data network, in the group around CSMAR, CNRDS, National Bureau of…. The whole network →

What papers use RESSET together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
CSMARDataset1574.5
CNRDSDataset690.6
Economic Policy Uncertainty indexDataset65.5
Twitter / XDataset52.5
Marketization index (Fan Gang)Dataset413.0
S&P 500Dataset43.8
Climate Policy Uncertainty indexDataset311.7
CSI 300 / Shanghai CompositeDataset321.8
Earnings call transcriptsDataset324.1
National Bureau of Statistics of ChinaDataset339.8
WindDataset340.0
Cite this page

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

@misc{scholar4ai-datasets-resset,
  author = {{Scholar4AI}},
  title = {RESSET},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/resset}},
  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).