Nate Lannan

Computer ScienceEngineering

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 6 papers. Top paper: “Human Motion Enhancement Using Nonlinear Kalman Filter Assisted Convolutional Autoencoders”.

Human Motion Enhancement Using Nonlinear Kalman Filter Assisted Convolutional Autoencoders

(2020)10.1109/bibe50027.2020.00171

N/A

0DataRank · unranked

13 citations

Le Zhou, Guoliang Fan, Jérôme Hausselle, Nate Lannan

A Hybrid Approach to Human Motion Enhancement under Kinematic and Anthropometric Constraints

(2020)10.1109/bibe50027.2020.00174

N/A

0DataRank · unranked

5 citations

Nate Lannan, Guoliang Fan, Jérôme Hausselle, Le Zhou

Human Motion Enhancement via Tobit Particle Filtering and Differential Evolution

(2021)10.1109/icip42928.2021.9506771

N/A

0DataRank · unranked

3 citations

Nate Lannan, Guoliang Fan, Le Zhou

Human Motion Enhancement via Tobit Kalman Filter-Assisted Autoencoder

IEEE Access(2022)10.1109/access.2022.3157605

N/A

0DataRank · unranked

10 citations

Le Zhou, Guoliang Fan, Nate Lannan

Joint Optimization of Kinematics and Anthropometrics for Human Motion Denoising

IEEE Sensors Journal(2022)10.1109/jsen.2022.3144946

N/A

0DataRank · unranked

11 citations

Nate Lannan, Guoliang Fan, Le Zhou

A Review of Depth-Based Human Motion Enhancement: Past and Present

IEEE Journal of Biomedical and Health Informatics(2023)10.1109/jbhi.2023.3257662

N/A

0DataRank · unranked

8 citations

Nate Lannan, Guoliang Fan, Le Zhou