Type
Funder
Country
—
ROR
—
Documents
5
through any edge
Papers
0
authorship edges
Awards made
6
6 grant numbers
Named as funder
5
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Shenzhen Government has funded
6 awards under 6 distinct grant numbers, across 4 documents. A further 5 documents name it as a funder without a grant number — a weaker claim, counted separately.
Autonomous Driving for Natural Paths Using an Improved Deep Reinforcement Learning Algorithmgrant GXWD20201230155427003-20200829144221001 · 2022-11-09Autonomous Driving for Natural Paths Using an Improved Deep Reinforcement Learning Algorithmgrant HA11409015 · 2022-11-09Autonomous Driving for Natural Paths Using an Improved Deep Reinforcement Learning Algorithmgrant JCYJ20190806144609107 · 2022-11-092209.12565grant 2016-1418Applied sentiment analysis on a real estate advertisement recommendation modelgrant 20200829144221001 · 2022-02-27Fine-Tuning Lightweight LLM for Enhanced Network Understanding: A Rephrase and Contrast Approachgrant SGDX20230821094359004 · 2026-01-01
6 of 11 funding edges