Thomas Feuring

1.9k total citations
35 papers, 1.2k citations indexed

About

Thomas Feuring is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Thomas Feuring has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 23 papers in Statistics and Probability and 10 papers in Management Science and Operations Research. Recurrent topics in Thomas Feuring's work include Fuzzy Systems and Optimization (23 papers), Fuzzy Logic and Control Systems (23 papers) and Neural Networks and Applications (15 papers). Thomas Feuring is often cited by papers focused on Fuzzy Systems and Optimization (23 papers), Fuzzy Logic and Control Systems (23 papers) and Neural Networks and Applications (15 papers). Thomas Feuring collaborates with scholars based in Germany, United States and Japan. Thomas Feuring's co-authors include James J. Buckley, Yoichi Hayashi and Esfandiar Eslami and has published in prestigious journals such as European Journal of Operational Research, Fuzzy Sets and Systems and Soft Computing.

In The Last Decade

Thomas Feuring

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Feuring Germany 14 796 548 408 284 270 35 1.2k
Kai Yao China 26 1.7k 2.1× 1.0k 1.9× 434 1.1× 234 0.8× 470 1.7× 42 2.1k
Hsien-Chung Wu Taiwan 27 1.5k 1.8× 1.1k 2.1× 867 2.1× 329 1.2× 141 0.5× 125 2.3k
Yuhan Liu China 14 702 0.9× 572 1.0× 201 0.5× 174 0.6× 93 0.3× 42 1.1k
Yuhong Sheng China 19 687 0.9× 394 0.7× 222 0.5× 101 0.4× 210 0.8× 81 986
C. R. Bector Canada 25 569 0.7× 732 1.3× 814 2.0× 204 0.7× 106 0.4× 87 1.8k
Andrzej Piegat Poland 13 362 0.5× 349 0.6× 280 0.7× 428 1.5× 32 0.1× 46 899
Asad Ali Pakistan 21 370 0.5× 930 1.7× 541 1.3× 201 0.7× 39 0.1× 50 1.2k
Huifu Xu United Kingdom 25 332 0.4× 1.1k 2.1× 391 1.0× 112 0.4× 46 0.2× 95 1.8k
Esfandiar Eslami Iran 17 284 0.4× 511 0.9× 122 0.3× 411 1.4× 26 0.1× 64 1.0k

Countries citing papers authored by Thomas Feuring

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Feuring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Feuring

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Feuring. A scholar is included among the top collaborators of Thomas Feuring 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 Thomas Feuring. Thomas Feuring 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.
Feuring, Thomas, et al.. (2002). A goodness-function for trained fuzzy neural networks. 5. 2264–2269. 2 indexed citations
2.
Buckley, James J., Thomas Feuring, & Yoichi Hayashi. (2002). Solving fuzzy problems in operations research: inventory control. Soft Computing. 7(2). 121–129. 8 indexed citations
3.
Feuring, Thomas, James J. Buckley, & Yoichi Hayashi. (2002). Fully fuzzified linear programming: an evolutionary algorithm approach. 1. 611–616. 2 indexed citations
4.
Feuring, Thomas, et al.. (2002). Fuzzy regression: a genetic programming approach. 1. 349–352. 4 indexed citations
5.
Feuring, Thomas, et al.. (2002). A fuzzy-controlled delta-bar-delta learning rule. 3. 1686–1690. 1 indexed citations
6.
Buckley, James J., Thomas Feuring, & Yoichi Hayashi. (2001). Fuzzy Difference Equations: The Initial Value Problem. Journal of Advanced Computational Intelligence and Intelligent Informatics. 5(6). 315–325. 3 indexed citations
7.
Buckley, James J., Thomas Feuring, & Yoichi Hayashi. (2001). MULTI-OBJECTIVE FULLY FUZZIFIED LINEAR PROGAMMING. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 9(5). 605–621. 6 indexed citations
8.
Buckley, James J., Thomas Feuring, & Yoichi Hayashi. (2001). Fuzzy hierarchical analysis revisited. European Journal of Operational Research. 129(1). 48–64. 167 indexed citations
9.
Buckley, James J., Thomas Feuring, & Yoichi Hayashi. (2001). FUZZY QUEUEING THEORY REVISITED. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 9(5). 527–537. 22 indexed citations
10.
Buckley, James J. & Thomas Feuring. (2000). Universal approximators for fuzzy functions. Fuzzy Sets and Systems. 113(3). 411–415. 15 indexed citations
11.
Feuring, Thomas, et al.. (2000). Web-based money investment consultant. 797–798.
12.
Buckley, James J. & Thomas Feuring. (2000). Fuzzy differential equations. Fuzzy Sets and Systems. 110(1). 43–54. 327 indexed citations
13.
Buckley, James J. & Thomas Feuring. (2000). Evolutionary algorithm solution to fuzzy problems: Fuzzy linear programming. Fuzzy Sets and Systems. 109(1). 35–53. 178 indexed citations
14.
Buckley, James J. & Thomas Feuring. (2000). Linear and non-linear fuzzy regression: Evolutionary algorithm solutions. Fuzzy Sets and Systems. 112(3). 381–394. 43 indexed citations
15.
Buckley, James J. & Thomas Feuring. (1999). Comments on “Frequency/time domain methods for solutions of N-order fuzzy differential equations” by Zhang, Wang and Liu. Fuzzy Sets and Systems. 105(1). 185–186. 2 indexed citations
16.
Feuring, Thomas, et al.. (1999). Stability analysis of neural net controllers using fuzzy neural networks. Fuzzy Sets and Systems. 101(2). 303–313. 10 indexed citations
17.
Feuring, Thomas, James J. Buckley, & Yoichi Hayashi. (1999). Overfitting: a fuzzy neural net solution. 2. 61–65 vol.1. 1 indexed citations
18.
Feuring, Thomas, et al.. (1999). The fuzzy neural network approximation lemma. Fuzzy Sets and Systems. 102(2). 227–236. 24 indexed citations
19.
Feuring, Thomas, et al.. (1998). Error prediction for neural networks by fuzzification. International Journal of Intelligent Systems. 13(6). 495–502. 2 indexed citations
20.
Feuring, Thomas, et al.. (1995). FUZZY NEURAL NETWORKS ARE UNIVERSAL APPROXIMATORS. 2. 659–662. 16 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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