Type
Funder
Country
—
ROR
—
Documents
4
through any edge
Papers
0
authorship edges
Awards made
10
10 grant numbers
Named as funder
4
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 Key Laboratory in Science and Technology Development Project of Suzhou has funded
10 awards under 10 distinct grant numbers, across 2 documents. A further 4 documents name it as a funder without a grant number — a weaker claim, counted separately.
Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant 19KJB520054 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant 61801323 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant 61876121 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant 62002254 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant 62062003 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant BE2017663 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant KY-ZRA1805 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant KYCX18_2549 · 2020-10-26Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networksgrant SZS201609 · 2020-10-26Automatic learning-based data optimization method for autonomous drivinggrant SZZG06YJ6000017 · 2024-02-20
10 of 14 funding edges