Wei-Chih Chien

1.1k total citations
68 papers, 869 citations indexed

About

Wei-Chih Chien is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Wei-Chih Chien has authored 68 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 33 papers in Materials Chemistry and 20 papers in Polymers and Plastics. Recurrent topics in Wei-Chih Chien's work include Advanced Memory and Neural Computing (45 papers), Phase-change materials and chalcogenides (25 papers) and Transition Metal Oxide Nanomaterials (20 papers). Wei-Chih Chien is often cited by papers focused on Advanced Memory and Neural Computing (45 papers), Phase-change materials and chalcogenides (25 papers) and Transition Metal Oxide Nanomaterials (20 papers). Wei-Chih Chien collaborates with scholars based in Taiwan, United States and China. Wei-Chih Chien's co-authors include Huai‐Yu Cheng, M. BrightSky, Erh-Kun Lai, Fabio Carta, Hsiang-Lan Lung, K. Y. Hsieh, C. W. Yeh, Yu‐Yu Lin, H.L. Lung and Robert L. Bruce and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Wei-Chih Chien

63 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei-Chih Chien Taiwan 17 784 363 234 85 69 68 869
B.-I. Ryu South Korea 12 1.1k 1.4× 444 1.2× 372 1.6× 140 1.6× 34 0.5× 18 1.1k
Damien Deleruyelle France 17 789 1.0× 241 0.7× 137 0.6× 156 1.8× 56 0.8× 66 844
M.‐J. Tsai Taiwan 12 962 1.2× 305 0.8× 131 0.6× 116 1.4× 57 0.8× 43 1000
Kyung‐Chang Ryoo South Korea 13 596 0.8× 341 0.9× 138 0.6× 94 1.1× 34 0.5× 42 683
Alvaro Padilla United States 10 705 0.9× 330 0.9× 147 0.6× 119 1.4× 46 0.7× 12 755
Chikako Yoshida Japan 12 648 0.8× 244 0.7× 168 0.7× 99 1.2× 228 3.3× 45 785
Agostino Pirovano Italy 12 607 0.8× 390 1.1× 127 0.5× 105 1.2× 32 0.5× 16 671
P. J. Tzeng Taiwan 12 1.2k 1.5× 340 0.9× 180 0.8× 144 1.7× 53 0.8× 30 1.2k
Scott W. Fong United States 10 696 0.9× 599 1.7× 233 1.0× 73 0.9× 53 0.8× 20 861
Luca Vandelli Italy 18 1.6k 2.0× 347 1.0× 166 0.7× 214 2.5× 45 0.7× 37 1.6k

Countries citing papers authored by Wei-Chih Chien

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Chih Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Chih Chien. 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 Wei-Chih Chien. The network helps show where Wei-Chih Chien may publish in the future.

Co-authorship network of co-authors of Wei-Chih Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Chih Chien. A scholar is included among the top collaborators of Wei-Chih Chien 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 Wei-Chih Chien. Wei-Chih Chien 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.
Chien, Wei-Chih, Wei‐Ju Lee, Chih‐Kuang Liang, et al.. (2025). Muscle‐Specific Strength Better Predicts Physical Performance Decline Than Conventional Metrics: The I‐Lan Longitudinal Aging Study. Journal of Cachexia Sarcopenia and Muscle. 16(5). e70078–e70078.
2.
3.
Chien, Wei-Chih, Asit K. Ray, Erh-Kun Lai, et al.. (2024). A GexSe1-x switch-only-memory technology through polarized atomic distribution. Scientific Reports. 14(1). 22115–22115.
4.
Chien, Wei-Chih, Jie Zheng, C. W. Yeh, et al.. (2024). A Novel Chalcogenide Based CuGeSe Selector Only Memory (SOM) for 3D Xpoint and 3D Vertical Memory Applications. 1–2. 3 indexed citations
5.
Chien, Wei-Chih, Nanbo Gong, C. W. Yeh, et al.. (2022). Device Study on OTS-PCM for Persistent Memory Application : IBM/Macronix Phase Change Memory Joint Project. 327–329. 2 indexed citations
6.
Cheng, Huai‐Yu, Fabio Carta, Wei-Chih Chien, Hsiang-Lan Lung, & M. BrightSky. (2019). 3D cross-point phase-change memory for storage-class memory. Journal of Physics D Applied Physics. 52(47). 473002–473002. 85 indexed citations
7.
Chien, Wei-Chih, C. W. Yeh, Cheol‐Min Yang, et al.. (2019). Comprehensive Scaling Study on 3D Cross-Point PCM toward 1Znm Node for SCM Applications. T60–T61. 20 indexed citations
8.
Yeh, C. W., Wei-Chih Chien, Robert L. Bruce, et al.. (2018). High Endurance Self-Heating OTS-PCM Pillar Cell for 3D Stackable Memory. 205–206. 18 indexed citations
9.
Cheng, Huai‐Yu, Wei-Chih Chien, Erh-Kun Lai, et al.. (2017). An ultra high endurance and thermally stable selector based on TeAsGeSiSe chalcogenides compatible with BEOL IC Integration for cross-point PCM. 2.2.1–2.2.4. 41 indexed citations
10.
Chien, Wei-Chih, Huai‐Yu Cheng, M. BrightSky, et al.. (2016). Reliability study of a 128Mb phase change memory chip implemented with doped Ga-Sb-Ge with extraordinary thermal stability. 21.1.1–21.1.4. 16 indexed citations
11.
Lung, H.L., Yu Zhu, Wei-Chih Chien, et al.. (2016). A novel low power phase change memory using inter-granular switching. 1–2. 10 indexed citations
12.
Khwa, Win-San, Sheng-Chih Lai, Ming‐Liang Wei, et al.. (2015). Greater than 2-bits/cell MLC storage for ultra high density phase change memory using a novel sensing scheme. T94–T95. 13 indexed citations
13.
Khwa, Win-San, M. BrightSky, Pei-Ying Du, et al.. (2015). A Procedure to Reduce Cell Variation in Phase Change Memory for Improving Multi-Level-Cell Performances. 1–4. 2 indexed citations
14.
Chien, Wei-Chih, Wei-Chen Chen, Dai-Ying Lee, et al.. (2013). A novel high performance WO x ReRAM based on thermally-induced SET operation. Symposium on VLSI Technology. 2 indexed citations
15.
Lin, Yu‐Yu, et al.. (2013). A novel conducting bridge resistive memory using a semiconducting dynamic E-field moderating layer. Symposium on VLSI Technology. 4 indexed citations
16.
Chien, Wei-Chih, Yu‐Yu Lin, Erh-Kun Lai, et al.. (2012). Multi-layer sidewall WO<inf>X</inf> resistive memory suitable for 3D ReRAM. 153–154. 25 indexed citations
17.
Chien, Wei-Chih, Yi‐Chou Chen, Yu‐Yu Lin, et al.. (2011). A Novel Ni/WOX/W Resistive Random Access Memory with Excellent Retention and Low Switching Current. Japanese Journal of Applied Physics. 50(4S). 04DD11–04DD11. 14 indexed citations
18.
Chien, Wei-Chih, Erh-Kun Lai, Yeong-Der Yao, et al.. (2008). Unipolar Switching Characteristics for Self-Aligned WO<inf>x</inf> Resistance RAM (R-RAM). 144–145. 5 indexed citations
19.
Jc, Lee, Li‐Chin Tsai, Yu‐Hsiang Kuan, et al.. (2007). Racing pigeon identification using STR and chromo‐helicase DNA binding gene markers. Electrophoresis. 28(23). 4274–4281. 23 indexed citations
20.
Chien, Wei-Chih, et al.. (2002). On the Reliability of Accelerated Testing in AIGaAs/InGaAs/GaAsPHEMTs. Active and Passive Electronic Components. 26(2). 115–127. 6 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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