William Trehern

507 total citations
16 papers, 372 citations indexed

About

William Trehern is a scholar working on Mechanical Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, William Trehern has authored 16 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 10 papers in Materials Chemistry and 3 papers in Polymers and Plastics. Recurrent topics in William Trehern's work include Shape Memory Alloy Transformations (9 papers), High Entropy Alloys Studies (7 papers) and Machine Learning in Materials Science (3 papers). William Trehern is often cited by papers focused on Shape Memory Alloy Transformations (9 papers), High Entropy Alloys Studies (7 papers) and Machine Learning in Materials Science (3 papers). William Trehern collaborates with scholars based in United States and Türkiye. William Trehern's co-authors include İbrahim Karaman, Raymundo Arróyave, K.C. Atli, Zaffir Chaudhry, D. Canadinç, Ji Ma, Fanping Sun, Brent Vela, Adam A. Wilson and Darin J. Sharar and has published in prestigious journals such as Acta Materialia, Scripta Materialia and International Journal of Plasticity.

In The Last Decade

William Trehern

15 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Trehern United States	11	267	227	52	29	23	16	372
Xiaorong Cai China	8	212 0.8×	205 0.9×	74 1.4×	21 0.7×	22 1.0×	23	327
Shaohui Li China	9	298 1.1×	226 1.0×	35 0.7×	62 2.1×	14 0.6×	18	381
C. Hayrettin United States	10	485 1.8×	234 1.0×	69 1.3×	65 2.2×	50 2.2×	12	577
Yuxian Cao China	8	242 0.9×	185 0.8×	37 0.7×	60 2.1×	9 0.4×	16	305
Sam Bakhtiari Australia	14	376 1.4×	193 0.9×	18 0.3×	50 1.7×	83 3.6×	29	485
Changhui Song China	6	364 1.4×	280 1.2×	10 0.2×	15 0.5×	14 0.6×	13	417
Bogdan Pricop Romania	11	272 1.0×	204 0.9×	9 0.2×	49 1.7×	46 2.0×	58	354
Yulong Liang China	11	349 1.3×	176 0.8×	23 0.4×	19 0.7×	75 3.3×	21	404
İrfan Kaya Türkiye	13	460 1.7×	286 1.3×	10 0.2×	24 0.8×	39 1.7×	30	551

Countries citing papers authored by William Trehern

Since Specialization

Citations

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

Fields of papers citing papers by William Trehern

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Trehern

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

All Works

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16 of 16 papers shown

Trehern, William, Aditya Sundar, William Yi Wang, et al.. (2025). Machine learning and high-throughput computational guided development of high temperature oxidation-resisting Ni-Co-Cr-Al-Fe based high-entropy alloys. npj Computational Materials. 11(1). 4 indexed citations

Trehern, William, K.C. Atli, Darin J. Sharar, et al.. (2025). CuZnAl Shape Memory Alloys for High Heat Flux Thermal Energy Storage. Shape Memory and Superelasticity. 11(3). 439–450.

Singh, Prashant, William Trehern, Brent Vela, et al.. (2024). Understanding the effect of refractory metal chemistry on the stacking fault energy and mechanical property of Cantor-based multi-principal element alloys. International Journal of Plasticity. 179. 104020–104020. 22 indexed citations

Vela, Brent, et al.. (2024). Multi-objective, multi-constraint high-throughput design, synthesis, and characterization of tungsten-containing refractory multi-principal element alloys. Acta Materialia. 281. 120379–120379. 15 indexed citations

Trehern, William, et al.. (2023). An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys. Computational Materials Science. 226. 112225–112225. 8 indexed citations

Vela, Brent, Prashant Singh, Tanner Kirk, et al.. (2023). High-throughput exploration of the WMoVTaNbAl refractory multi-principal-element alloys under multiple-property constraints. Acta Materialia. 248. 118784–118784. 36 indexed citations

Trehern, William, K.C. Atli, Darin J. Sharar, et al.. (2023). NiTiCu shape memory alloys with ultra-low phase transformation range as solid-state phase change materials. Acta Materialia. 260. 119310–119310. 24 indexed citations

Karaman, İbrahim, Darren J. Hartl, Aaron P. Stebner, et al.. (2022). Aerospace, Energy Recovery, and Medical Applications: Shape Memory Alloy Case Studies for CASMART 3rd Student Design Challenge. Shape Memory and Superelasticity. 8(2). 150–167. 4 indexed citations

Trehern, William, et al.. (2022). An Interpretable Boosting-Based Predictive Model for Transformation Temperatures of Shape Memory Alloys. SSRN Electronic Journal. 3 indexed citations

10.

Trehern, William, et al.. (2022). Data-driven shape memory alloy discovery using Artificial Intelligence Materials Selection (AIMS) framework. Acta Materialia. 228. 117751–117751. 51 indexed citations

11.

Trehern, William, et al.. (2021). Exploring thermomechanical functionality of CuAlMn as an extreme low temperature shape memory alloy. Materials Letters. 308. 131246–131246. 16 indexed citations

12.

Trehern, William, et al.. (2021). Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10414–10421. 11 indexed citations

13.

Seede, Raiyan, Jiahui Ye, Austin Whitt, et al.. (2021). Effect of composition and phase diagram features on printability and microstructure in laser powder bed fusion: Development and comparison of processing maps across alloy systems. Additive manufacturing. 47. 102258–102258. 23 indexed citations

14.

Sharar, Darin J., William Trehern, K.C. Atli, et al.. (2021). NiTiHf shape memory alloys as phase change thermal storage materials. Acta Materialia. 218. 117175–117175. 36 indexed citations

15.

Canadinç, D., William Trehern, Ji Ma, et al.. (2018). Ultra-high temperature multi-component shape memory alloys. Scripta Materialia. 158. 83–87. 83 indexed citations

16.

Canadinç, D., William Trehern, C. Hayrettin, et al.. (2017). On the deformation response and cyclic stability of Ni50Ti35Hf15 high temperature shape memory alloy wires. Scripta Materialia. 135. 92–96. 36 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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