Carlo Vittorio Cannistraci

About Carlo Vittorio Cannistraci

Carlo Vittorio Cannistraci, With an exceptional h-index of 38 and a recent h-index of 35 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Machine Intelligence, Network Science, Information and Data Science, Computational Biomedicine, Computational Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Spatial Reconstruction of Oligo and Single Cells by De Novo Coalescent Embedding of Transcriptomic Networks

Epitopological Sparse Ultra-Deep Learning: A Brain-Network Topological Theory Carves Communities in Sparse and Percolated Hyperbolic ANNs

Neuromorphic Dendritic Computation with Silent Synapses for Visual Motion Perception

An efficient plug-and-play post-training pruning strategy in large language models

“Stealing fire or stacking knowledge” by machine intelligence to model link prediction in complex networks

Ultra-sparse network advantage in deep learning via Cannistraci-Hebb brain-inspired training with hyperbolic meta-deep community-layered epitopology

Network shape intelligence outperforms AlphaFold2 intelligence in vanilla protein interaction prediction

Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms

Carlo Vittorio Cannistraci Information

University

Position

Director Center for Complex Network Intelligence

Citations(all)

6424

Citations(since 2020)

3895

Cited By

4158

hIndex(all)

38

hIndex(since 2020)

35

i10Index(all)

61

i10Index(since 2020)

58

Email

University Profile Page

Google Scholar

Carlo Vittorio Cannistraci Skills & Research Interests

Machine Intelligence

Network Science

Information and Data Science

Computational Biomedicine

Computational Neuroscience

Top articles of Carlo Vittorio Cannistraci

Title

Journal

Author(s)

Publication Date

Spatial Reconstruction of Oligo and Single Cells by De Novo Coalescent Embedding of Transcriptomic Networks

Advanced Science

Yuxuan Zhao

Shiqiang Zhang

Jian Xu

Yangyang Yu

Guangdun Peng

...

2023/7

Epitopological Sparse Ultra-Deep Learning: A Brain-Network Topological Theory Carves Communities in Sparse and Percolated Hyperbolic ANNs

Yingtao Zhang

Jialin Zhao

Wenjing Wu

Alessandro Muscoloni

Carlo Vittorio Cannistraci

2023/6/9

Neuromorphic Dendritic Computation with Silent Synapses for Visual Motion Perception

Eunhye Baek

Sen Song

Zhao Rong

Luping Shi

Carlo Vittorio Cannistraci

2023/6/6

An efficient plug-and-play post-training pruning strategy in large language models

Yingtao Zhang

Haoli Bai

Haokun Lin

Jialin Zhao

Lu Hou

...

2023/10/24

“Stealing fire or stacking knowledge” by machine intelligence to model link prediction in complex networks

Iscience

Alessandro Muscoloni

Carlo Vittorio Cannistraci

2023/1/20

Ultra-sparse network advantage in deep learning via Cannistraci-Hebb brain-inspired training with hyperbolic meta-deep community-layered epitopology

Yingtao Zhang

Jialin Zhao

Wenjing Wu

Alessandro Muscoloni

Carlo Vittorio Cannistraci

2023/10/13

Network shape intelligence outperforms AlphaFold2 intelligence in vanilla protein interaction prediction

bioRxiv

Ilyes Abdelhamid

Alessandro Muscoloni

Danny Marc Rotscher

Matthias Lieber

Ulf Markwardt

...

2023/8/14

Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms

IEEE Access

Aldo Acevedo

Claudio Duran

Ming-Ju Kuo

Sara Ciucci

Michael Schroeder

...

2022/2/18

Proprotein convertase subtilisin/kexin 9 (PCSK9) promotes macrophage activation via LDL receptor-independent mechanisms

Circulation research

Shunsuke Katsuki

Prabhash K. Jha

Adrien Lupieri

Toshiaki Nakano

Livia SA Passos

...

2022/11/11

Early retrieval problem and link prediction evaluation via the area under the magnified ROC

Alessandro Muscoloni

Carlo Vittorio Cannistraci

2022/9/19

Salt-specific gene expression reveals elevated auxin levels in Arabidopsis thaliana plants grown under saline conditions

Frontiers in plant science

Lee Cackett

Carlo Vittorio Cannistraci

Stuart Meier

Paul Ferrandi

Aleš Pěnčík

...

2022/2/10

Energy‐sparing by 2‐methyl‐2‐thiazoline protects heart from ischaemia/reperfusion injury

ESC Heart Failure

Masahiro Nishi

Takehiro Ogata

Ko Kobayakawa

Reiko Kobayakawa

Tomohiko Matsuo

...

2022/2

Medial prefrontal and occipito-temporal activity at encoding determines enhanced recognition of threatening faces after 1.5 years

Brain Structure and Function

Xiqin Liu

Xinqi Zhou

Yixu Zeng

Jialin Li

Weihua Zhao

...

2022/6

Adaptive network automata modelling of complex networks

Alessandro Muscoloni

Umberto Michieli

Yingtao Zhang

Carlo Vittorio Cannistraci

2022/5/11

Prevalence, characteristics, and outcomes of COVID-19–associated acute myocarditis

Circulation

Enrico Ammirati

Laura Lupi

Matteo Palazzini

Nicholas S Hendren

Justin L Grodin

...

2022/4/12

Geometrical congruence, greedy navigability and myopic transfer in complex networks and brain connectomes

Nature Communications

Carlo Vittorio Cannistraci

Alessandro Muscoloni

2022/11/27

Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks

Applied Network Science

Claudio Durán

Alessandro Muscoloni

Carlo Vittorio Cannistraci

2021/4/9

Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome

Nature communications

Claudio Durán

Sara Ciucci

Alessandra Palladini

Umer Z Ijaz

Antonio G Zippo

...

2021/3/26

Age-sex population adjusted analysis of disease severity in epidemics as a tool to devise public health policies for COVID-19

Scientific reports

Carlo Vittorio Cannistraci

Maria Grazia Valsecchi

Ilaria Capua

2021/6/3

De novo identification of universal cell mechanics regulators

Marta Urbanska

Yan Ge

Maria Winzi

Shada Abuhattum Hofemeier

Syed Shafat Ali

...

2023/7/5

See List of Professors in Carlo Vittorio Cannistraci University(Tsinghua University)