Malik Muhammad Nauman

Engineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Efficient Blind Source Separation Method for fMRI Using Autoencoder and Spatiotemporal Sparsity Constraints”.

Efficient Blind Source Separation Method for fMRI Using Autoencoder and Spatiotemporal Sparsity Constraints

IEEE Access(2023)10.1109/access.2023.3277543

N/A

0DataRank · unranked

13 citations

Bilal A. Khawaja, Malik Muhammad Nauman, Muhammad Usman Khalid

A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components

Scientific Reports(2023)10.1038/s41598-023-47420-1

N/A

0DataRank · unranked

10 citations

Malik Muhammad Nauman, Muhammad Usman Khalid

Three layered sparse dictionary learning algorithm for enhancing the subject wise segregation of brain networks

Scientific Reports(2024)10.1038/s41598-024-69647-2

N/A

0DataRank · unranked

7 citations

Malik Muhammad Nauman, Sheeraz Akram, Kamran Ali, Muhammad Usman Khalid

Simultaneously capturing excessive variations and smooth dynamics of the underlying neural activity using spatiotemporal basis expansion and multisubject fMRI data

Scientific Reports(2025)10.1038/s41598-025-97651-7

N/A

0DataRank · unranked

2 citations

Malik Muhammad Nauman, Hatoon S. AlSagri, Pg Mohammad Pg Mohammad Iskandar Bin Pg Hj Iskandar Petra, Muhammad Usman Khalid