W. Wu

1.2k total citations
19 papers, 981 citations indexed

About

W. Wu is a scholar working on Analytical Chemistry, Biophysics and Biomedical Engineering. According to data from OpenAlex, W. Wu has authored 19 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 9 papers in Biophysics and 6 papers in Biomedical Engineering. Recurrent topics in W. Wu's work include Spectroscopy and Chemometric Analyses (15 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Advanced Chemical Sensor Technologies (5 papers). W. Wu is often cited by papers focused on Spectroscopy and Chemometric Analyses (15 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Advanced Chemical Sensor Technologies (5 papers). W. Wu collaborates with scholars based in Belgium, United Kingdom and Netherlands. W. Wu's co-authors include D.L. Massart, Beata Walczak, S. De Jong, Qian Guo, S. Heuerding, F. Erni, K.A. Prebble, D.L. Massart, C. Boucon and W. Penninckx and has published in prestigious journals such as Analytical Chemistry, Analytica Chimica Acta and Journal of Crystal Growth.

In The Last Decade

W. Wu

19 papers receiving 951 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W. Wu Belgium 14 600 249 246 152 119 19 981
S. Heuerding Switzerland 11 473 0.8× 218 0.9× 196 0.8× 126 0.8× 72 0.6× 13 1.0k
K.A. Prebble United Kingdom 10 671 1.1× 182 0.7× 346 1.4× 85 0.6× 175 1.5× 12 836
B. Vandeginste Netherlands 9 865 1.4× 297 1.2× 268 1.1× 143 0.9× 266 2.2× 18 1.2k
Frédéric Despagne Belgium 10 497 0.8× 275 1.1× 197 0.8× 49 0.3× 213 1.8× 12 841
D.L. Massart Belgium 22 517 0.9× 210 0.8× 93 0.4× 169 1.1× 84 0.7× 47 1.2k
Désiré-Luc Massart Belgium 8 1.0k 1.7× 351 1.4× 398 1.6× 151 1.0× 346 2.9× 9 1.3k
Robert P. Cogdill United States 17 870 1.4× 263 1.1× 449 1.8× 114 0.8× 137 1.2× 31 1.3k
Qingsong Xu China 14 608 1.0× 258 1.0× 166 0.7× 358 2.4× 145 1.2× 37 1.6k
Klaas Faber United States 11 654 1.1× 128 0.5× 133 0.5× 102 0.7× 148 1.2× 15 907
Carla Armanino Italy 20 572 1.0× 312 1.3× 90 0.4× 174 1.1× 78 0.7× 30 1.3k

Countries citing papers authored by W. Wu

Since Specialization
Citations

This map shows the geographic impact of W. Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by W. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Wu more than expected).

Fields of papers citing papers by W. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by W. Wu. The network helps show where W. Wu may publish in the future.

Co-authorship network of co-authors of W. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of W. Wu. A scholar is included among the top collaborators of W. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. Wu. W. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wu, W., Sergio Cantero‐Chinchilla, Wang‐Ji Yan, et al.. (2022). Guided waves-based damage identification in plates through an inverse Bayesian process. Ultrasonics. 125. 106773–106773. 14 indexed citations
2.
Daszykowski, M., et al.. (2007). Identifying potential biomarkers in LC‐MS data. Journal of Chemometrics. 21(7-9). 292–302. 15 indexed citations
3.
Wu, W., et al.. (2004). Experimental designs for optimisation of the image analysis process for cDNA microarrays. Chemometrics and Intelligent Laboratory Systems. 76(2). 175–184. 5 indexed citations
4.
Wu, W., Qian Guo, D.L. Massart, C. Boucon, & S. De Jong. (2002). Structure preserving feature selection in PARAFAC using a genetic algorithm and Procrustes analysis. Chemometrics and Intelligent Laboratory Systems. 65(1). 83–95. 9 indexed citations
5.
Guo, Qian, W. Wu, D.L. Massart, C. Boucon, & S. De Jong. (2002). Feature selection in principal component analysis of analytical data. Chemometrics and Intelligent Laboratory Systems. 61(1-2). 123–132. 113 indexed citations
6.
Guo, Qian, W. Wu, D.L. Massart, C. Boucon, & S. De Jong. (2001). Feature selection in sequential projection pursuit. Analytica Chimica Acta. 446(1-2). 85–96. 20 indexed citations
7.
Guo, Qian, et al.. (2000). Sequential Projection Pursuit Using Genetic Algorithms for Data Mining of Analytical Data. Analytical Chemistry. 72(13). 2846–2855. 56 indexed citations
8.
Guo, Qian, W. Wu, & D.L. Massart. (1999). The robust normal variate transform for pattern recognition with near-infrared data. Analytica Chimica Acta. 382(1-2). 87–103. 85 indexed citations
9.
Candolfi, Andrea, W. Wu, D.L. Massart, & S. Heuerding. (1998). Comparison of classification approaches applied to NIR-spectra of clinical study lots. Journal of Pharmaceutical and Biomedical Analysis. 16(8). 1329–1347. 20 indexed citations
10.
Wu, W., Qian Guo, Paula Fernandes de Aguiar, & D.L. Massart. (1998). The star plot: an alternative display method for multivariate data in the analysis of food and drugs. Journal of Pharmaceutical and Biomedical Analysis. 17(6-7). 1001–1013. 3 indexed citations
11.
Wu, W., et al.. (1998). A nucleation mechanism for diamond film deposited on alumina substrates by microwave plasma CVD. Journal of Crystal Growth. 191(3). 459–465. 10 indexed citations
12.
Wu, W., D.L. Massart, & S. De Jong. (1997). The kernel PCA algorithms for wide data. Part I: Theory and algorithms. Chemometrics and Intelligent Laboratory Systems. 36(2). 165–172. 90 indexed citations
13.
Wu, W. & D.L. Massart. (1997). Regularised nearest neighbour classification method for pattern recognition of near infrared spectra. Analytica Chimica Acta. 349(1-3). 253–261. 17 indexed citations
14.
Okuyama, Masanori, W. Wu, Yo Oishi, & Yoshihiro Hamakawa. (1996). Laser ablation preparation and property of bismuth-layer-structured SrBi2Ta2Ta2O9 and Bi4Ti3O12 ferroelectric thin films. Integrated ferroelectrics. 12(2-4). 225–232. 3 indexed citations
15.
Wu, W., Y. Mallet, Beata Walczak, et al.. (1996). Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data. Analytica Chimica Acta. 329(3). 257–265. 181 indexed citations
16.
Wu, W., Beata Walczak, W. Penninckx, & D.L. Massart. (1996). Feature reduction by Fourier transform in pattern recognition of NIR data. Analytica Chimica Acta. 331(1-2). 75–83. 13 indexed citations
17.
Wu, W., Beata Walczak, D.L. Massart, et al.. (1996). Artificial neural networks in classification of NIR spectral data: Design of the training set. Chemometrics and Intelligent Laboratory Systems. 33(1). 35–46. 192 indexed citations
18.
Wu, W. & D.L. Massart. (1996). Artificial neural networks in classification of NIR spectral data: Selection of the input. Chemometrics and Intelligent Laboratory Systems. 35(1). 127–135. 40 indexed citations
19.
Wu, W., et al.. (1995). Spectral transformation and wavelength selection in near-infrared spectra classification. Analytica Chimica Acta. 315(3). 243–255. 95 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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