William Melek

3.2k total citations
114 papers, 2.3k citations indexed

About

William Melek is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, William Melek has authored 114 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 33 papers in Mechanical Engineering and 29 papers in Artificial Intelligence. Recurrent topics in William Melek's work include Vehicle Dynamics and Control Systems (14 papers), Fuzzy Logic and Control Systems (14 papers) and Robot Manipulation and Learning (10 papers). William Melek is often cited by papers focused on Vehicle Dynamics and Control Systems (14 papers), Fuzzy Logic and Control Systems (14 papers) and Robot Manipulation and Learning (10 papers). William Melek collaborates with scholars based in Canada, United States and United Kingdom. William Melek's co-authors include Jerry M. Mendel, Mohammad Biglarbegian, Farid Golnaraghi, Hani Hagras, Amir Khajepour, Fue‐Sang Lien, Christopher M. Clark, Hao Ying, A.A. Goldenberg and Derek Rayside and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Industrial Electronics.

In The Last Decade

William Melek

107 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Melek Canada	25	893	866	418	366	309	114	2.3k
Mohammad Biglarbegian Canada	19	518 0.6×	621 0.7×	339 0.8×	328 0.9×	95 0.3×	80	1.7k
Tsu‐Tian Lee Taiwan	28	786 0.9×	1.8k 2.1×	295 0.7×	355 1.0×	137 0.4×	204	2.8k
Tzuu‐Hseng S. Li Taiwan	25	628 0.7×	1.4k 1.7×	247 0.6×	194 0.5×	157 0.5×	154	2.4k
Luis T. Aguilar Mexico	26	733 0.8×	1.5k 1.8×	227 0.5×	96 0.3×	212 0.7×	154	2.3k
Ștefan Preitl Romania	41	1.2k 1.3×	2.5k 2.9×	692 1.7×	237 0.6×	225 0.7×	193	3.8k
Ye‐Hwa Chen United States	32	363 0.4×	3.0k 3.4×	702 1.7×	549 1.5×	506 1.6×	246	3.8k
Alireza Alfi Iran	34	829 0.9×	1.6k 1.8×	330 0.8×	150 0.4×	146 0.5×	129	3.0k
Xiyuan Peng China	27	609 0.7×	945 1.1×	136 0.3×	677 1.8×	176 0.6×	227	2.7k
Oscar Montiel Mexico	20	821 0.9×	670 0.8×	167 0.4×	119 0.3×	546 1.8×	75	2.1k
Chun‐Fei Hsu Taiwan	26	888 1.0×	1.7k 2.0×	317 0.8×	210 0.6×	152 0.5×	130	2.4k

Countries citing papers authored by William Melek

Since Specialization

Citations

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

Fields of papers citing papers by William Melek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Melek

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

All Works

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20 of 20 papers shown

Fi̇dan, Barış, et al.. (2025). Extended Kalman Filter-Based State Estimation and Adaptive Control of Cable-Driven Parallel Robots. IEEE Access. 13. 52284–52307. 1 indexed citations

Bedi, Sanjeev, et al.. (2024). Improvements to a Machine Learning Machining Feature Recognition System. Computer-Aided Design and Applications. 119–135. 1 indexed citations

Melek, William, et al.. (2024). A Recursive Trigonometric Technique for Direct Digital Frequency Synthesizer Implementation. Electronics. 13(23). 4762–4762. 3 indexed citations

Li, Yang, et al.. (2024). Transfer learning methods for Three-Axis CNC anomaly detection. SHILAP Revista de lepidopterología. 1 indexed citations

Bedi, Sanjeev, et al.. (2024). Transfer Learning in CNC Milling Machines for Chatter Detection using LSTM-AutoEncoders. 127. 504–511. 1 indexed citations

Al-Sharman, Mohammad, et al.. (2023). Self-Learned Autonomous Driving at Unsignalized Intersections: A Hierarchical Reinforced Learning Approach for Feasible Decision-Making. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12345–12356. 38 indexed citations

Melek, William, et al.. (2023). The Influence of the Load Type on the Center Frequency Tuning of the Variable-Flux Biaxial Energy Harvester. Shock and Vibration. 2023. 1–9.

Bedi, Sanjeev, et al.. (2023). Incremental learning of LSTM-autoencoder anomaly detection in three-axis CNC machines. The International Journal of Advanced Manufacturing Technology. 130(3-4). 1265–1277. 3 indexed citations

Bedi, Sanjeev, et al.. (2023). Anomaly detection in three-axis CNC machines using LSTM networks and transfer learning. The International Journal of Advanced Manufacturing Technology. 127(11-12). 5185–5198. 10 indexed citations

10.

Marzbani, Hormoz, et al.. (2021). The importance of equationη=μn²in dimensional analysis and scaled vehicle experiments in vehicle dynamics. Vehicle System Dynamics. 60(7). 2511–2540. 4 indexed citations

11.

Shaker, George, et al.. (2019). Lightweight Low-Cost UAV Radar Terrain Mapping. European Conference on Antennas and Propagation. 3 indexed citations

12.

Fallah, Saber, et al.. (2013). Cascaded Dual Extended Kalman Filter for Combined Vehicle State Estimation and Parameter Identification. SAE technical papers on CD-ROM/SAE technical paper series. 1. 14 indexed citations

13.

Biglarbegian, Mohammad, Alireza Sadeghian, & William Melek. (2012). On the accessibility/controllability of fuzzy control systems. Information Sciences. 202. 58–72. 11 indexed citations

14.

Biglarbegian, Mohammad, William Melek, & Jerry M. Mendel. (2009). On the Stability of Interval Type-2 TSK Fuzzy Logic Control Systems. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(3). 798–818. 254 indexed citations

15.

Melek, William, et al.. (2008). Stability analysis of type-2 fuzzy systems. 947–953. 81 indexed citations

16.

Sadeghian, Alireza, et al.. (2006). Symmetric Cipher Design Using Recurrent Neural Networks. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 2. 2039–2046. 15 indexed citations

17.

Melek, William, et al.. (2005). Comparison of Trend Detection Algorithms in the Analysis of Physiological Time-Series Data. IEEE Transactions on Biomedical Engineering. 52(4). 639–651. 38 indexed citations

18.

Melek, William & A.A. Goldenberg. (2004). The development of a robust fuzzy inference mechanism. International Journal of Approximate Reasoning. 39(1). 29–47. 5 indexed citations

19.

Melek, William, A.A. Goldenberg, & Mohammad Reza Sarmasti Emami. (2004). A fuzzy noise-rejection data partitioning algorithm. International Journal of Approximate Reasoning. 38(1). 1–17. 11 indexed citations

20.

Melek, William, et al.. (2002). Modeling of dynamic cardiovascular responses during G-transition-induced orthostatic stress in pitch and roll rotations. IEEE Transactions on Biomedical Engineering. 49(12). 1481–1490. 10 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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