William B. Yates

535 total citations
12 papers, 344 citations indexed

About

William B. Yates is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, William B. Yates has authored 12 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in William B. Yates's work include Neural Networks and Applications (5 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). William B. Yates is often cited by papers focused on Neural Networks and Applications (5 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). William B. Yates collaborates with scholars based in United Kingdom and United States. William B. Yates's co-authors include Daniel G. Partridge, Giles M. Foody, Edward Keedwell, Derek Partridge, Ed Keedwell and Ahmed Kheiri and has published in prestigious journals such as International Journal of Remote Sensing, Neural Computation and Neural Computing and Applications.

In The Last Decade

William B. Yates

12 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William B. Yates United Kingdom	7	176	62	56	55	49	12	344
Kamalika Das United States	11	218 1.2×	62 1.0×	64 1.1×	67 1.2×	35 0.7×	33	454
Tieli Sun China	11	275 1.6×	93 1.5×	47 0.8×	32 0.6×	30 0.6×	30	488
Xudong Lai China	11	172 1.0×	137 2.2×	82 1.5×	36 0.7×	105 2.1×	31	461
José Alfredo Ferreira Costa Brazil	11	230 1.3×	144 2.3×	57 1.0×	27 0.5×	18 0.4×	59	408
Kaiming Fu United States	9	160 0.9×	91 1.5×	69 1.2×	46 0.8×	23 0.5×	23	390
Baojun Qiao China	11	143 0.8×	131 2.1×	39 0.7×	34 0.6×	27 0.6×	31	401
Yan Ren China	11	123 0.7×	113 1.8×	26 0.5×	21 0.4×	26 0.5×	51	343
Hao Dong China	13	211 1.2×	140 2.3×	92 1.6×	25 0.5×	58 1.2×	27	585
Lionel Valet France	8	71 0.4×	49 0.8×	105 1.9×	25 0.5×	27 0.6×	21	282
Yu Guan China	10	81 0.5×	39 0.6×	39 0.7×	30 0.5×	20 0.4×	22	387

Countries citing papers authored by William B. Yates

Since Specialization

Citations

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

Fields of papers citing papers by William B. Yates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William B. Yates

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

All Works

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12 of 12 papers shown

Yates, William B., et al.. (2024). Walking-by-Logic: Signal Temporal Logic-Guided Model Predictive Control for Bipedal Locomotion Resilient to External Perturbations. 1121–1127. 6 indexed citations

Yates, William B., Edward Keedwell, & Ahmed Kheiri. (2024). Explainable Optimisation through Online and Offline Hyper-heuristics. Research Explorer (The University of Manchester). 5(2). 1–29. 2 indexed citations

Yates, William B., et al.. (2022). An edge quality aware crossover operator for application to the capacitated vehicle routing problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 419–422. 2 indexed citations

Yates, William B. & Edward Keedwell. (2020). Offline Learning with a Selection Hyper-Heuristic: An Application to Water Distribution Network Optimisation. Evolutionary Computation. 29(2). 187–210. 7 indexed citations

Yates, William B. & Edward Keedwell. (2019). An analysis of heuristic subsequences for offline hyper-heuristic learning. Journal of Heuristics. 25(3). 399–430. 7 indexed citations

Yates, William B. & Edward Keedwell. (2017). Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 119–120. 4 indexed citations

Partridge, Derek & William B. Yates. (1997). Data-Defined Problems and Multiversion Neural-Net Systems. Journal of Intelligent Systems. 7(1-2). 19–32. 6 indexed citations

Partridge, Derek & William B. Yates. (1996). Replicability of Neural Computing Experiments.. Complex Systems. 10. 4 indexed citations

Partridge, Daniel G. & William B. Yates. (1996). Engineering Multiversion Neural-Net Systems. Neural Computation. 8(4). 869–893. 135 indexed citations

10.

Yates, William B. & Daniel G. Partridge. (1996). Use of methodological diversity to improve neural network generalisation. Neural Computing and Applications. 4(2). 114–128. 23 indexed citations

11.

Foody, Giles M., et al.. (1995). The effect of training set size and composition on artificial neural network classification. International Journal of Remote Sensing. 16(9). 1707–1723. 106 indexed citations

12.

Foody, Giles M., et al.. (1994). Crop classification from C-band polarimetric radar data. International Journal of Remote Sensing. 15(14). 2871–2885. 42 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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