Ta‐Te Chen

691 total citations · 1 hit paper
27 papers, 451 citations indexed

About

Ta‐Te Chen is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Ta‐Te Chen has authored 27 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 9 papers in Mechanics of Materials and 8 papers in Materials Chemistry. Recurrent topics in Ta‐Te Chen's work include Microstructure and Mechanical Properties of Steels (9 papers), Advanced Materials and Mechanics (7 papers) and Metallurgy and Material Forming (5 papers). Ta‐Te Chen is often cited by papers focused on Microstructure and Mechanical Properties of Steels (9 papers), Advanced Materials and Mechanics (7 papers) and Metallurgy and Material Forming (5 papers). Ta‐Te Chen collaborates with scholars based in Japan and China. Ta‐Te Chen's co-authors include Ikumu Watanabe, Xiaoyang Zheng, Xubo Zhang, Sadaki Samitsu, Xiaofeng Guo, Masanobu Naito, Koichiro Uto, Yoshitaka Adachi, Siqian Wang and Toshio Ogawa and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Small.

In The Last Decade

Ta‐Te Chen

24 papers receiving 440 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design

2023 175 citations Xiaoyang Zheng, Xubo Zhang et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ta‐Te Chen Japan	8	283	154	126	79	75	27	451
Li Zheng Switzerland	4	294 1.0×	156 1.0×	185 1.5×	81 1.0×	124 1.7×	5	552
Gil Ho Yoon South Korea	13	133 0.5×	208 1.4×	101 0.8×	82 1.0×	100 1.3×	48	436
Stephanie Tan Netherlands	4	166 0.6×	86 0.6×	83 0.7×	55 0.7×	61 0.8×	6	315
Nitesh Arora United States	13	178 0.6×	252 1.6×	157 1.2×	46 0.6×	97 1.3×	22	396
Federico Bosi United Kingdom	13	161 0.6×	140 0.9×	81 0.6×	30 0.4×	117 1.6×	27	364
Liwei Wang China	12	335 1.2×	126 0.8×	257 2.0×	255 3.2×	136 1.8×	19	684
Saman Farhangdoust United States	11	300 1.1×	168 1.1×	215 1.7×	104 1.3×	96 1.3×	34	566
Yali Dong China	9	154 0.5×	83 0.5×	93 0.7×	86 1.1×	145 1.9×	12	502
Leon M. Headings United States	13	211 0.7×	135 0.9×	76 0.6×	52 0.7×	95 1.3×	44	400
Fabian Wein Germany	10	269 1.0×	130 0.8×	231 1.8×	43 0.5×	183 2.4×	23	532

Countries citing papers authored by Ta‐Te Chen

Since Specialization

Citations

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

Fields of papers citing papers by Ta‐Te Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta‐Te Chen. 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 Ta‐Te Chen. The network helps show where Ta‐Te Chen may publish in the future.

Co-authorship network of co-authors of Ta‐Te Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Ta‐Te, et al.. (2025). A data-driven method for estimating the plastic properties of alloys through Vickers hardness tests. Journal of Materials Research and Technology. 37. 903–910. 1 indexed citations

Sun, Fei, Hiroshi Kumagai, Ta‐Te Chen, Toshio Ogawa, & Yoshitaka Adachi. (2025). Negative enthalpy-induced phase decomposition and transformation in Fe-35Ni-10Al medium entropy alloy. Journal of Alloys and Compounds. 1020. 179329–179329.

Ogawa, Toshio, et al.. (2025). Dramatic improvement in strength–ductility balance of dual-phase steels by optimizing features of ferrite phase. Journal of Materials Research and Technology. 35. 289–297. 4 indexed citations

Chen, Ta‐Te, et al.. (2024). Maximization of strength–ductility balance of dual-phase steels using generative adversarial networks and Bayesian optimization. Materials Today Communications. 41. 110360–110360. 3 indexed citations

Chen, Ta‐Te, et al.. (2024). Analysis of the strength–ductility balance of dual-phase steel using a combination of generative adversarial networks and finite element method. Computational Materials Science. 243. 113143–113143. 10 indexed citations

Murata, Kenji, Ta‐Te Chen, Fei Sun, & Yoshitaka Adachi. (2024). Cellular automaton simulation of solid-phase grain growth under conditions involving scanning heat sources and temperature gradients. Modelling and Simulation in Materials Science and Engineering. 32(8). 85006–85006.

Watanabe, Ikumu, et al.. (2024). Multi-objective topology optimization of porous microstructure in die-bonding layer of a semiconductor. SHILAP Revista de lepidopterología. 4(1). 1 indexed citations

Ogawa, Toshio, et al.. (2024). Analysis of tensile properties in tempered martensite steels with different cementite particle size distributions. AIMS Materials Science. 11(5). 1056–1064.

Adachi, Yoshitaka, et al.. (2024). A review on inverse analysis models in steel material design. SHILAP Revista de lepidopterología. 2(4). 4 indexed citations

10.

Ogawa, Toshio, Ta‐Te Chen, Fei Sun, et al.. (2024). Machine Learning-Aided Analysis of the Rolling and Recrystallization Textures of Pure Iron with Different Cold Reduction Ratios and Cold-Rolling Directions. Materials. 17(14). 3402–3402. 2 indexed citations

11.

Murata, Kenji, et al.. (2023). Simulation of Abnormal Grain Growth Using the Cellular Automaton Method. Materials. 17(1). 138–138. 1 indexed citations

12.

Zheng, Xiaoyang, Ikumu Watanabe, Siqian Wang, Ta‐Te Chen, & Masanobu Naito. (2023). Minimal-surface-based multiphase metamaterials with highly variable stiffness. Materials & Design. 237. 112548–112548. 15 indexed citations

13.

Sun, Fei, et al.. (2023). Two- and Three-Dimensional Modeling and Simulations of Grain Growth Behavior in Dual-Phase Steel Using Monte Carlo and Machine Learning. Materials. 16(24). 7536–7536. 1 indexed citations

14.

Zheng, Xiaoyang, Xubo Zhang, Ta‐Te Chen, & Ikumu Watanabe. (2023). Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design. Advanced Materials. 35(45). e2302530–e2302530. 175 indexed citations breakdown →

15.

Chen, Ta‐Te, Ryo Tamura, Kei Terayama, et al.. (2022). Topological alternation from structurally adaptable to mechanically stable crosslinked polymer. Science and Technology of Advanced Materials. 23(1). 66–75. 9 indexed citations

16.

Ji, Ming, Ta‐Te Chen, Siqian Wang, et al.. (2022). Light‐Induced Topological Patterning toward 3D Shape‐Reconfigurable Origami. Small. 18(14). e2107078–e2107078. 6 indexed citations

17.

Zheng, Xiaoyang, et al.. (2022). Deep-learning-based inverse design of three-dimensional architected cellular materials with the target porosity and stiffness using voxelized Voronoi lattices. Science and Technology of Advanced Materials. 24(1). 2157682–2157682. 42 indexed citations

18.

Chen, Ta‐Te & Ikumu Watanabe. (2022). Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test. SHILAP Revista de lepidopterología. 2(1). 416–424. 4 indexed citations

19.

Zheng, Xiaoyang, Ta‐Te Chen, Xiaofeng Guo, Sadaki Samitsu, & Ikumu Watanabe. (2021). Controllable inverse design of auxetic metamaterials using deep learning. Materials & Design. 211. 110178–110178. 105 indexed citations

20.

Chen, Ta‐Te, et al.. (2021). Characterization of the Strain-Rate-Dependent Plasticity of Alloys Using Instrumented Indentation Tests. Crystals. 11(11). 1316–1316. 1 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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