Chien‐Nan Hsiao

1.2k total citations
76 papers, 1.0k citations indexed

About

Chien‐Nan Hsiao is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Chien‐Nan Hsiao has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Materials Chemistry, 25 papers in Electrical and Electronic Engineering and 18 papers in Condensed Matter Physics. Recurrent topics in Chien‐Nan Hsiao's work include GaN-based semiconductor devices and materials (17 papers), ZnO doping and properties (16 papers) and Semiconductor materials and devices (16 papers). Chien‐Nan Hsiao is often cited by papers focused on GaN-based semiconductor devices and materials (17 papers), ZnO doping and properties (16 papers) and Semiconductor materials and devices (16 papers). Chien‐Nan Hsiao collaborates with scholars based in Taiwan, Japan and United Kingdom. Chien‐Nan Hsiao's co-authors include Jer‐Ren Yang, Tsai-Fu Chung, Cheng‐Si Tsao, Makoto Shiojiri, Yo-Lun Yang, Jianguo Lin, Zhusheng Shi, Shou‐Yi Kuo, Chi‐Chung Kei and Wei‐Chun Chen and has published in prestigious journals such as Journal of Applied Physics, Chemistry of Materials and Journal of The Electrochemical Society.

In The Last Decade

Chien‐Nan Hsiao

71 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chien‐Nan Hsiao Taiwan 16 539 342 330 296 163 76 1.0k
D. Eyidi France 19 603 1.1× 252 0.7× 366 1.1× 113 0.4× 132 0.8× 58 1.1k
Ming‐Hua Shiao Taiwan 16 379 0.7× 282 0.8× 232 0.7× 133 0.4× 199 1.2× 64 881
Ines Häusler Germany 17 506 0.9× 271 0.8× 271 0.8× 68 0.2× 132 0.8× 67 1.0k
L. Latu‐Romain France 20 595 1.1× 472 1.4× 286 0.9× 293 1.0× 255 1.6× 78 1.1k
Shenghua Deng China 19 764 1.4× 366 1.1× 667 2.0× 174 0.6× 55 0.3× 47 1.3k
Xiaofang Bi China 17 648 1.2× 225 0.7× 827 2.5× 584 2.0× 104 0.6× 59 1.4k
R. Rani India 21 664 1.2× 270 0.8× 209 0.6× 64 0.2× 95 0.6× 65 1.1k
C. Mickel Germany 21 660 1.2× 252 0.7× 624 1.9× 60 0.2× 169 1.0× 44 1.2k
E. Shalaan Saudi Arabia 23 609 1.1× 281 0.8× 985 3.0× 168 0.6× 119 0.7× 64 1.5k
Touwen Fan China 20 737 1.4× 201 0.6× 856 2.6× 459 1.6× 55 0.3× 83 1.4k

Countries citing papers authored by Chien‐Nan Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Nan Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Nan Hsiao. 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 Chien‐Nan Hsiao. The network helps show where Chien‐Nan Hsiao may publish in the future.

Co-authorship network of co-authors of Chien‐Nan Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Nan Hsiao. A scholar is included among the top collaborators of Chien‐Nan Hsiao 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 Chien‐Nan Hsiao. Chien‐Nan Hsiao 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.
Lin, Shih‐kang, Hsin-Chih Lin, R.D.K. Misra, et al.. (2025). Phenomenological understanding of the contribution of bulk and grain boundary precipitates on strengthening in prolonged-aged Al-Zn-Mg-Cu aluminium alloys. Materials Today Advances. 25. 100557–100557. 1 indexed citations
2.
Li, Youlin, Ping-Luen Ho, An‐Chou Yeh, et al.. (2024). Cryogenic strengthening of Fe27Co24Ni23Cr26 high-entropy alloys via hierarchical nanotwin-driven mechanism. Materials Science and Engineering A. 897. 146317–146317. 5 indexed citations
3.
Yang, Yo-Lun, R.D.K. Misra, Chien‐Nan Hsiao, et al.. (2024). Pre-aged and paint-baked strengthening response on the prolonged natural-aged Al-Mg-Si-Cu aluminum alloys. Journal of Alloys and Compounds. 1008. 176677–176677. 6 indexed citations
4.
Chung, Tsai-Fu, Jia‐Rui Lin, Ping-Luen Ho, et al.. (2023). Grain structure and co-precipitation behavior of high-Zn containing Al–Zn–Mg–Cu aluminium alloys during deformation via high-temperature upsetting-extrusion. Journal of Alloys and Compounds. 968. 171871–171871. 12 indexed citations
5.
Chung, Tsai-Fu, et al.. (2023). Microstructure evolution and shearing behaviour of δꞌ/θꞌ/δꞌ precipitates in an aged Al-Cu-Li-Mg aluminium alloy. Journal of Alloys and Compounds. 953. 170095–170095. 11 indexed citations
6.
Lu, Shih-Yuan, Tsai-Fu Chung, Yu‐Wei Lai, et al.. (2023). Development of microstructures-properties in Fe-0.4C/0.2C-2Si-3Mn carbide-free bainite steels. Materials Characterization. 197. 112670–112670. 13 indexed citations
7.
Chung, Tsai-Fu, et al.. (2023). Effects of duty cycle and nitrogen flow rate on the mechanical properties of (V,Mo)N coatings deposited by high-power pulsed magnetron sputtering. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 41(6).
8.
Huang, Hung Ji, et al.. (2020). Reusable TiN Substrate for Surface Plasmon Resonance Heterodyne Phase Interrogation Sensor. Nanomaterials. 10(7). 1325–1325. 16 indexed citations
9.
Lin, Kuang‐I, Jiang Pu, Tsai-Fu Chung, et al.. (2020). CVD growth of large-area InS atomic layers and device applications. Nanoscale. 12(17). 9366–9374. 15 indexed citations
10.
Chung, Tsai-Fu, Chien‐Nan Hsiao, Chih-Yuan Chen, et al.. (2020). Investigation of nanotwins in the bimodal-structured Fe22Co22Ni20Cr22Mn14 alloy subjected to high-strain-rate deformation at cryogenic temperatures. Materials Characterization. 170. 110667–110667. 19 indexed citations
11.
Chung, Tsai-Fu, Yo-Lun Yang, Makoto Shiojiri, et al.. (2019). An atomic scale structural investigation of nanometre-sized η precipitates in the 7050 aluminium alloy. Acta Materialia. 174. 351–368. 164 indexed citations
12.
Chung, Tsai-Fu, et al.. (2019). Intrinsic twin boundary of η-MgZn2 precipitates in the AA7050 aluminium alloy. Procedia Manufacturing. 37. 201–206. 5 indexed citations
13.
Chung, Tsai-Fu, Yo-Lun Yang, Chien‐Nan Hsiao, et al.. (2018). Morphological evolution of GP zones and nanometer-sized precipitates in the AA2050 aluminium alloy. International Journal of Lightweight Materials and Manufacture. 1(3). 142–156. 24 indexed citations
16.
Kuo, Shou‐Yi, et al.. (2012). Study of Surface Morphology Control and Investigation of Hexagonal Indium Nitride Nanorods Grown on GaN/Sapphire Substrate. Journal of Nanoscience and Nanotechnology. 12(2). 1620–1623. 1 indexed citations
17.
Chen, Wei‐Chun, et al.. (2012). Effect of substrate temperature on structural and optical properties of InN epilayer grown on GaN template. Thin Solid Films. 529. 169–172. 10 indexed citations
18.
Jiwajinda, Suratwadee, et al.. (2011). Fine structure of wing scales of butterflies, Euploea mulciber and Troides aeacus. Journal of Structural Biology. 176(1). 75–82. 18 indexed citations
19.
Lai, Fang-I, Shou‐Yi Kuo, Wei‐Chun Chen, et al.. (2011). Heteroepitaxial growth of InN on GaN intermediate layer by PA-MOMBE. Journal of Crystal Growth. 326(1). 37–41. 4 indexed citations
20.
Cheng, Chao-Ching, Chao-Hsin Chien, Guang-Li Luo, et al.. (2009). Junction and Device Characteristics of Gate-Last Ge p- and n-MOSFETs With ALD- $\hbox{Al}_{2}\hbox{O}_{3}$ Gate Dielectric. IEEE Transactions on Electron Devices. 56(8). 1681–1689. 14 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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