Nien‐Ti Tsou

1.4k total citations · 1 hit paper
60 papers, 1.1k citations indexed

About

Nien‐Ti Tsou is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Nien‐Ti Tsou has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 21 papers in Biomedical Engineering and 16 papers in Mechanical Engineering. Recurrent topics in Nien‐Ti Tsou's work include Shape Memory Alloy Transformations (11 papers), Bone Tissue Engineering Materials (11 papers) and Ferroelectric and Piezoelectric Materials (11 papers). Nien‐Ti Tsou is often cited by papers focused on Shape Memory Alloy Transformations (11 papers), Bone Tissue Engineering Materials (11 papers) and Ferroelectric and Piezoelectric Materials (11 papers). Nien‐Ti Tsou collaborates with scholars based in Taiwan, United States and United Kingdom. Nien‐Ti Tsou's co-authors include John E. Huber, Ju Li, Rui Xiong, Chia-Wei Hsu, Chia‐Wei Hsu, Fengchun Sun, Chenxu Wang, Jiahuan Lu, Jinpeng Tian and E‐Wen Huang and has published in prestigious journals such as Journal of Applied Physics, Biomaterials and Physical Review B.

In The Last Decade

Nien‐Ti Tsou

57 papers receiving 1.1k citations

Hit Papers

Battery degradation prediction against uncertain future c... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nien‐Ti Tsou Taiwan 18 371 346 321 277 261 60 1.1k
Jie Tian China 20 314 0.8× 349 1.0× 130 0.4× 304 1.1× 347 1.3× 107 1.2k
Siladitya Pal India 18 226 0.6× 331 1.0× 164 0.5× 337 1.2× 328 1.3× 40 1.1k
Jin Hyeok Choi South Korea 26 1.2k 3.2× 439 1.3× 346 1.1× 331 1.2× 287 1.1× 85 1.9k
Sang Hoon Kim South Korea 18 213 0.6× 144 0.4× 236 0.7× 175 0.6× 512 2.0× 47 985
Jing Ni China 13 117 0.3× 159 0.5× 131 0.4× 246 0.9× 207 0.8× 95 733
Yongtao Sun China 20 279 0.8× 245 0.7× 121 0.4× 781 2.8× 690 2.6× 104 1.6k
Jian Yu United States 21 280 0.8× 590 1.7× 181 0.6× 316 1.1× 553 2.1× 81 1.6k
Xingtao Liu China 22 1.1k 2.9× 330 1.0× 984 3.1× 129 0.5× 220 0.8× 69 1.9k
Emmanuel Brousseau United Kingdom 24 413 1.1× 329 1.0× 131 0.4× 809 2.9× 722 2.8× 88 1.5k
Xiangfan Chen United States 15 170 0.5× 112 0.3× 265 0.8× 453 1.6× 139 0.5× 40 845

Countries citing papers authored by Nien‐Ti Tsou

Since Specialization
Citations

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

Fields of papers citing papers by Nien‐Ti Tsou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nien‐Ti Tsou. 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 Nien‐Ti Tsou. The network helps show where Nien‐Ti Tsou may publish in the future.

Co-authorship network of co-authors of Nien‐Ti Tsou

This figure shows the co-authorship network connecting the top 25 collaborators of Nien‐Ti Tsou. A scholar is included among the top collaborators of Nien‐Ti Tsou 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 Nien‐Ti Tsou. Nien‐Ti Tsou 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.
Tsai, Yifen, Pai‐Chun Wei, Nien‐Ti Tsou, et al.. (2024). Grand herringbone architecture securing the high thermoelectric performance of GeTe. Materials Today Physics. 41. 101329–101329. 5 indexed citations
2.
Chang, Jenny Zwei‐Chieng, et al.. (2024). Optimizing dental implant design: Structure, strength, and bone ingrowth. Journal of Dental Sciences. 20(2). 1016–1026. 1 indexed citations
3.
Tseng, Yi-Ming, et al.. (2023). Martensite Variant Identification Method for shape memory alloys by using graph neural network. Computational Materials Science. 229. 112410–112410.
4.
Tsou, Nien‐Ti, et al.. (2023). Grain boundary serration tuning and its effect on hot workability of a wrought superalloy. Journal of Alloys and Compounds. 960. 170620–170620. 5 indexed citations
5.
Tsuang, Fon-Yih, et al.. (2023). Mechanical performance of porous biomimetic intervertebral body fusion devices: an in vitro biomechanical study. Journal of Orthopaedic Surgery and Research. 18(1). 71–71. 15 indexed citations
6.
Tsou, Nien‐Ti, et al.. (2023). A neural network framework for immediate temperature prediction of surgical hand-held drilling. Computer Methods and Programs in Biomedicine. 235. 107524–107524. 7 indexed citations
7.
Hsu, Chia-Wei, et al.. (2023). Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network. International Journal of Molecular Sciences. 24(3). 1948–1948. 10 indexed citations
8.
Tran, Dinh-Phuc, et al.. (2022). Effect of Tin Grain Orientation on Electromigration-Induced Dissolution of Ni Metallization in SnAg Solder Joints. Materials. 15(20). 7115–7115. 2 indexed citations
9.
Shie, Kai-Cheng, et al.. (2022). Failures of Cu-Cu Joints under Temperature Cycling Tests. Materials. 15(14). 4944–4944. 7 indexed citations
10.
Tran, Dinh-Phuc, et al.. (2022). Enhancement of fatigue resistance by recrystallization and grain growth to eliminate bonding interfaces in Cu–Cu joints. Scientific Reports. 12(1). 13116–13116. 9 indexed citations
11.
Shie, Kai-Cheng, et al.. (2022). Artificial intelligence deep learning for 3D IC reliability prediction. Scientific Reports. 12(1). 6711–6711. 12 indexed citations
12.
Tsou, Nien‐Ti, Koji Kakehi, Hideyuki Murakami, et al.. (2022). Effect of serrated grain boundary on tensile and creep properties of a precipitation strengthened high entropy alloy. Science and Technology of Advanced Materials. 24(1). 2158043–2158043. 20 indexed citations
14.
Hsu, Chia-Wei, et al.. (2021). Engineer design process assisted by explainable deep learning network. Scientific Reports. 11(1). 22525–22525. 6 indexed citations
15.
Wu, Pu‐Wei, Nien‐Ti Tsou, Yu‐Chun Lo, et al.. (2021). Flexible Optogenetic Transducer Device for Remote Neuron Modulation Using Highly Upconversion‐Efficient Dendrite‐Like Gold Inverse Opaline Structure. Advanced Healthcare Materials. 11(11). e2101310–e2101310. 13 indexed citations
16.
Tsai, Pei‐I, et al.. (2020). Novel design of additive manufactured hollow porous implants. Dental Materials. 36(11). 1437–1451. 31 indexed citations
17.
Tsou, Nien‐Ti, et al.. (2020). Healing Pattern Analysis for Dental Implants Using the Mechano-Regulatory Tissue Differentiation Model. International Journal of Molecular Sciences. 21(23). 9205–9205. 7 indexed citations
18.
Tseng, Jochi, Wei‐Chin Huang, Thomas F. Keller, et al.. (2020). Deformations of Ti-6Al-4V additive-manufacturing-induced isotropic and anisotropic columnar structures: Insitu measurements and underlying mechanisms. Additive manufacturing. 35. 101322–101322. 36 indexed citations
19.
Lai, Yu-Hong, Chunli Zhang, Yi‐Ting Hsieh, et al.. (2020). Giant Resistivity Change of Transparent ZnO/Muscovite Heteroepitaxy. ACS Applied Materials & Interfaces. 12(19). 21818–21826. 14 indexed citations
20.
Chen, Chih‐Hsuan, et al.. (2018). The Analysis of Superelasticity and Microstructural Evolution in NiTi Single Crystals by Molecular Dynamics. Materials. 12(1). 57–57. 13 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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