Field dossier · from the corpus

Beijing

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

Introduction: Ionic Liquids

20171,452 citationsDOI ↗

Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction

2018412 citationsDOI ↗

Signals

2

Papers · in corpus

1.9k

Citations · corpus total

0.0%

Recent share · since 2024

2017–2018

Span · publication years

Who is doing the work

Monash UniversityAU1
Beijing University of Chemical TechnologyCN1
Deakin UniversityAU1
ARC Centre of Excellence for Electromaterials ScienceAU1
Australian Regenerative Medicine InstituteAU1
CIC energiGUNEES1
Burwood HospitalNZ1
Inha UniversityKR1

Most published researchers

Yoon-Mo Koo1
Zhigang Lei1
Biaohua Chen1
Douglas R. MacFarlane1
Yeyun Cai1
Jiachen Zhao1

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

World Wide Web1 Citation1 Library science1 Resource (disambiguation)1 Key (lock)1 China1 Artificial neural network1 Artificial intelligence1 Term (time)1 Information retrieval1

Beijing · Raz0r Prism