Data Alignment
Data Alignment is a geospatial data fusion method that integrates heterogeneous spatial datasets into a common reference framework by resolving discrepancies in coordinate systems, temporal scales, and attribute representations to enable coherent analysis.
164
Publications
10.5K
Citations
655
Authors
266
Institutions
Publications per year
2017–2026
61
Parents
164
MassChroQ: A versatile tool for mass spectrometry quantification
Benoît Valot, Olivier Langella, Edlira Nano et al. · PROTEOMICS · 2011 · 319 citations · Full text
Anders Nordström, Grace O’Maille, Chuan Qin et al. · Analytical Chemistry · 2006 · 273 citations · Full text
Life Sciences, Pharmaceutical Analysis, Analytical Chemistry +16
1–5 of 164
655
3
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 655
266
University of Michigan
Ann Arbor, United States
4 h-index
13 publications
306 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
4 publications
158 citations
The Ohio State University
Columbus, United States
3 h-index
8 publications
130 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
7 publications
267 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
10 publications
950 citations
University of California, Irvine
Irvine, United States
3 h-index
9 publications
862 citations
Seoul National University
Seoul, South Korea
3 h-index
10 publications
204 citations

Universidad de Alcalá
Alcalá de Henares, Spain
3 h-index
5 publications
236 citations
1–8 of 266
4 publications · 353 citations
4
h-index
Repository · 4 publications · 100 citations
4
h-index
4 publications · 433 citations
4
h-index
4 publications · 2.6K citations
4
h-index
3 publications · 258 citations
3
h-index
1–5