D. Wienke

1.1k total citations
49 papers, 810 citations indexed

About

D. Wienke is a scholar working on Analytical Chemistry, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, D. Wienke has authored 49 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Analytical Chemistry, 19 papers in Biomedical Engineering and 10 papers in Artificial Intelligence. Recurrent topics in D. Wienke's work include Spectroscopy and Chemometric Analyses (23 papers), Advanced Chemical Sensor Technologies (15 papers) and Neural Networks and Applications (9 papers). D. Wienke is often cited by papers focused on Spectroscopy and Chemometric Analyses (23 papers), Advanced Chemical Sensor Technologies (15 papers) and Neural Networks and Applications (9 papers). D. Wienke collaborates with scholars based in Netherlands, Germany and United States. D. Wienke's co-authors include L.M.C. Buydens, Philip K. Hopke, L.M.C. Buydens, G. Kateman, W.J. Melssen, W.H.A.M. van den Broek, Karl Cammann, C.B. Lucasius, T. Huth‐Fehre and Aylvin A. Dias and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Macromolecules.

In The Last Decade

D. Wienke

49 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Wienke Netherlands 18 355 216 158 127 105 49 810
Menglong Li China 20 228 0.6× 133 0.6× 79 0.5× 107 0.8× 67 0.6× 69 1.0k
Р. З. Сафиева Russia 11 860 2.4× 572 2.6× 199 1.3× 399 3.1× 60 0.6× 30 1.4k
Frank Vogt United States 16 336 0.9× 277 1.3× 212 1.3× 157 1.2× 17 0.2× 53 890
Sonja Sekulic United States 16 761 2.1× 242 1.1× 124 0.8× 393 3.1× 27 0.3× 27 1.1k
Barry J. Wythoff United States 7 158 0.4× 86 0.4× 55 0.3× 30 0.2× 56 0.5× 8 390
François Wahl France 11 220 0.6× 94 0.4× 46 0.3× 53 0.4× 24 0.2× 20 507
Júlio Cesar Dias Brazil 16 530 1.5× 157 0.7× 68 0.4× 79 0.6× 26 0.2× 44 752
Barry M. Wise United States 19 802 2.3× 305 1.4× 168 1.1× 139 1.1× 95 0.9× 42 1.9k
An Chen China 16 99 0.3× 86 0.4× 59 0.4× 38 0.3× 94 0.9× 59 1.3k

Countries citing papers authored by D. Wienke

Since Specialization
Citations

This map shows the geographic impact of D. Wienke'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 D. Wienke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Wienke more than expected).

Fields of papers citing papers by D. Wienke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Wienke. 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 D. Wienke. The network helps show where D. Wienke may publish in the future.

Co-authorship network of co-authors of D. Wienke

This figure shows the co-authorship network connecting the top 25 collaborators of D. Wienke. A scholar is included among the top collaborators of D. Wienke 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 D. Wienke. D. Wienke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marissen, R., et al.. (2016). Weibull Statistics Strength Investigation of Synthetic Link Chains Made from Ultra-Strong Polyethylene Fibers. Materials Sciences and Applications. 7(5). 238–246. 2 indexed citations
2.
Jansen, Johan F. G. A., et al.. (2006). Evaluation of advanced data analysis techniques on time resolved FT-IR spectroscopy data of photo-copolymerization reactions. Vibrational Spectroscopy. 43(1). 116–124. 7 indexed citations
3.
Alig, I., P. A. M. Steeman, Dirk Lellinger, Aylvin A. Dias, & D. Wienke. (2005). Polymerization and network formation of UV-curable materials monitored by hyphenated real-time ultrasound reflectometry and near-infrared spectroscopy (RT-US/NIRS). Progress in Organic Coatings. 55(2). 88–96. 17 indexed citations
4.
Sprang, Eric N.M. van, Henk‐Jan Ramaker, Johan A. Westerhuis, Age K. Smilde, & D. Wienke. (2005). Statistical batch process monitoring using gray models. AIChE Journal. 51(3). 931–945. 13 indexed citations
5.
Sprang, Eric N.M. van, Henk‐Jan Ramaker, Johan A. Westerhuis, et al.. (2003). Near-Infrared Spectroscopic Monitoring of a Series of Industrial Batch Processes Using a Bilinear Grey Model. Applied Spectroscopy. 57(8). 1007–1019. 14 indexed citations
6.
Broek, W.H.A.M. van den, D. Wienke, W.J. Melssen, & L.M.C. Buydens. (1998). Plastic material identification with spectroscopic near infrared imaging and artificial neural networks. Analytica Chimica Acta. 361(1-2). 161–176. 39 indexed citations
7.
Broek, W.H.A.M. van den, D. Wienke, W.J. Melssen, & L.M.C. Buydens. (1997). A genetic algorithm for optimal filter range selection in infrared imaging spectroscopy. Applied Spectroscopy. 51. 1250–1268. 1 indexed citations
8.
Domine, D., James Devillers, D. Wienke, & L.M.C. Buydens. (1997). ART 2-A for Optimal Test Series Design in QSAR. Journal of Chemical Information and Computer Sciences. 37(1). 10–17. 10 indexed citations
9.
Wienke, D., et al.. (1997). On-Line Post Consumer Package Identification by NIR Spectroscopy Combined with a FuzzyARTMAP Classifier in an Industrial Environment. Applied Spectroscopy. 51(3). 362–368. 38 indexed citations
10.
Broek, W.H.A.M. van den, D. Wienke, W.J. Melssen, & L.M.C. Buydens. (1997). Optimal Wavelength Range Selection by a Genetic Algorithm for Discrimination Purposes in Spectroscopic Infrared Imaging. Applied Spectroscopy. 51(8). 1210–1217. 21 indexed citations
11.
Wienke, D., et al.. (1996). Near-infrared imaging spectroscopy (NIRIS) and image rank analysis for remote identification of plastics in mixed waste. Fresenius Journal of Analytical Chemistry. 354(7-8). 823–828. 15 indexed citations
12.
Wienke, D. & L.M.C. Buydens. (1996). Adaptive resonance theory based neural network for supervised chemical pattern recognition (FuzzyARTMAP) Part 1: Theory and network properties. Chemometrics and Intelligent Laboratory Systems. 32(2). 151–164. 14 indexed citations
13.
14.
Slama, Michael, Christiane Zaborosch, D. Wienke, & Friedrich Spener. (1996). Simultaneous Mixture Analysis Using a Dynamic Microbial Sensor Combined with Chemometrics. Analytical Chemistry. 68(21). 3845–3850. 21 indexed citations
15.
Wienke, D. & Philip K. Hopke. (1994). Visual Neural Mapping Technique for Locating Fine Airborne Particles Sources. Environmental Science & Technology. 28(6). 1015–1022. 6 indexed citations
16.
17.
Wienke, D., C.B. Lucasius, & G. Kateman. (1992). Multicriteria target vector optimization of analytical procedures using a genetic algorithm. Analytica Chimica Acta. 265(2). 211–225. 54 indexed citations
18.
Wienke, D. & Klaus Danzer. (1992). Multivariate optimization of signal intensities in atomic emission spectroscopy using overlapping resolution maps. Analytical and Bioanalytical Chemistry. 342(1-2). 1–9. 5 indexed citations
19.
Ehrlich, Melanie, D. Wienke, Klaus Danzer, & G. Kateman. (1992). The integrated multivariate approach for the development of dry reagent strips for quantitative clinical analysis. Analytical and Bioanalytical Chemistry. 343(6). 532–540. 2 indexed citations
20.
Wienke, D. & Klaus Danzer. (1986). Evaluation of pattern recognition methods by criteria based on information theory and euclidean geometry. Analytica Chimica Acta. 184. 107–116. 6 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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