Advances in Adaptive Data Analysis

Aims & Scope

Advances in Data Science and Adaptive Analysis (ADSAA) is an interdisciplinary journal dedicated to report original research results on data analysis methodology developments and their applications, with a special emphasis on the adaptive approaches.

The mission of the journal is to elevate data analysis from the routine data processing by traditional tools to a new scientific level, which encourages innovative methods development for data science and its scientific research and engineering applications.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

  Citation: 7114

  Authors: ZHAOHUA, NORDEN E.

• COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD

  Citation: 1283

  Authors: JIA-RONG, JIANN-SHING, NORDEN E.

• ON INSTANTANEOUS FREQUENCY

  Citation: 539

  Authors: NORDEN E., ZHAOHUA, STEVEN R., KENNETH C., XIANYAO, KARIN

• THE MULTI-DIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION METHOD

  Citation: 341

  Authors: ZHAOHUA, NORDEN E., XIANYAO

• ITERATIVE FILTERING AS AN ALTERNATIVE ALGORITHM FOR EMPIRICAL MODE DECOMPOSITION

  Citation: 190

  Authors: LUAN, YANG, HAOMIN

• ON INTRINSIC MODE FUNCTION

  Citation: 168

  Authors: GANG, XIAN-YAO, FANG-LI, ZHAOHUA, NORDEN E.

• IMPROVED ANALYSIS OF THE SUBSAMPLED RANDOMIZED HADAMARD TRANSFORM

  Citation: 159

  Authors: JOEL A.

• EMD VIA MEMD: MULTIVARIATE NOISE-AIDED COMPUTATION OF STANDARD EMD

  Citation: 156

  Authors: NAVEED, CHEOLSOO, NORDEN E., DANILO P.

• SINGULAR SPECTRUM DECOMPOSITION: A NEW METHOD FOR TIME SERIES DECOMPOSITION

  Citation: 138

  Authors: PIETRO, JOËL M. H., OLIVIER, RALF L. M.

• ADAPTIVE DATA ANALYSIS VIA SPARSE TIME-FREQUENCY REPRESENTATION

  Citation: 136

  Authors: THOMAS Y., ZUOQIANG