Daniel C. S. Bien

588 total citations
30 papers, 465 citations indexed

About

Daniel C. S. Bien is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Daniel C. S. Bien has authored 30 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 14 papers in Biomedical Engineering and 13 papers in Materials Chemistry. Recurrent topics in Daniel C. S. Bien's work include Graphene research and applications (8 papers), Semiconductor materials and devices (6 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Daniel C. S. Bien is often cited by papers focused on Graphene research and applications (8 papers), Semiconductor materials and devices (6 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Daniel C. S. Bien collaborates with scholars based in Malaysia, United Kingdom and United States. Daniel C. S. Bien's co-authors include Hing Wah Lee, S.J.N. Mitchell, H.S. Gamble, Khairul Anuar Abd Wahid, Poi Sim Khiew, Wee Siong Chiu, Michelle T.T. Tan, Jit Kai Chin, H.S. Gamble and Muhammad Aniq Shazni Mohammad Haniff and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Applied Surface Science.

In The Last Decade

Daniel C. S. Bien

26 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. S. Bien Malaysia 10 237 219 188 72 69 30 465
Chang-Pin Chang Taiwan 14 299 1.3× 256 1.2× 141 0.8× 116 1.6× 60 0.9× 25 535
Shih-Feng Tseng Taiwan 14 223 0.9× 223 1.0× 178 0.9× 88 1.2× 71 1.0× 26 462
Rogério Furlan Puerto Rico 12 177 0.7× 260 1.2× 114 0.6× 116 1.6× 60 0.9× 47 487
Indu Sharma India 13 208 0.9× 110 0.5× 226 1.2× 53 0.7× 75 1.1× 32 439
Yanhong Tian China 13 367 1.5× 176 0.8× 104 0.6× 97 1.3× 71 1.0× 33 523
Anubha Goyal United States 7 129 0.5× 158 0.7× 217 1.2× 58 0.8× 136 2.0× 9 432
Chao Teng China 6 142 0.6× 134 0.6× 278 1.5× 54 0.8× 124 1.8× 8 444
Kwonwoo Shin South Korea 14 213 0.9× 285 1.3× 278 1.5× 188 2.6× 63 0.9× 24 546
Chin Foo Goh Singapore 8 252 1.1× 173 0.8× 181 1.0× 68 0.9× 93 1.3× 11 446
С. Н. Несов Russia 14 265 1.1× 114 0.5× 324 1.7× 108 1.5× 97 1.4× 74 508

Countries citing papers authored by Daniel C. S. Bien

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. S. Bien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. S. Bien. 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 Daniel C. S. Bien. The network helps show where Daniel C. S. Bien may publish in the future.

Co-authorship network of co-authors of Daniel C. S. Bien

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. S. Bien. A scholar is included among the top collaborators of Daniel C. S. Bien 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 Daniel C. S. Bien. Daniel C. S. Bien 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.
Haniff, Muhammad Aniq Shazni Mohammad, et al.. (2015). Effect of Co and Ni nanoparticles formation on carbon nanotubes growth via PECVD. Journal of Experimental Nanoscience. 10(16). 1232–1241. 19 indexed citations
2.
3.
Haniff, Muhammad Aniq Shazni Mohammad, Syed Muhammad Hafiz, Khairul Anuar Abd Wahid, et al.. (2015). Piezoresistive effects in controllable defective HFTCVD graphene-based flexible pressure sensor. Scientific Reports. 5(1). 14751–14751. 57 indexed citations
4.
Haniff, Muhammad Aniq Shazni Mohammad, et al.. (2015). The Effect of Ni Catalyst on the Growth of Multi-Walled Carbon Nanotubes by PECVD Method. Advanced materials research. 1107. 314–319.
5.
Bien, Daniel C. S., et al.. (2014). Effect of Annealing Temperature and Time to Zinc Oxide (ZnO) Nanostructure in Hydrothermal Synthesis.
6.
Tan, Michelle T.T., Poi Sim Khiew, Jit Kai Chin, et al.. (2014). A novel one step synthesis of graphene via sonochemical-assisted solvent exfoliation approach for electrochemical sensing application. Chemical Engineering Journal. 249. 270–278. 75 indexed citations
7.
Haniff, Muhammad Aniq Shazni Mohammad, et al.. (2013). Surface morphology, resistivity, and magnetoresistance of Co, Fe, Ni, Co–Fe, and Ni–Fe nanoparticles on TiN layers induced by hydrogen plasma treatment. Thin Solid Films. 550. 22–26. 3 indexed citations
8.
Haniff, Muhammad Aniq Shazni Mohammad, et al.. (2013). Investigation of Low‐Pressure Bimetallic Cobalt‐Iron Catalyst‐Grown Multiwalled Carbon Nanotubes and Their Electrical Properties. Journal of Nanomaterials. 2013(1). 2 indexed citations
9.
Tan, Michelle T.T., Poi Sim Khiew, Jit Kai Chin, et al.. (2013). Facile synthesis of few-layer graphene by mild solvent thermal exfoliation of highly oriented pyrolytic graphite. Chemical Engineering Journal. 231. 1–11. 23 indexed citations
10.
Bien, Daniel C. S., et al.. (2012). Formation of silicon nanostructures with a combination of spacer technology and deep reactive ion etching. Nanoscale Research Letters. 7(1). 288–288. 9 indexed citations
11.
Bien, Daniel C. S., et al.. (2011). Selective formation of tungsten nanowires. Nanoscale Research Letters. 6(1). 543–543. 6 indexed citations
12.
Bien, Daniel C. S., et al.. (2010). Self-aligned nanostructures by CMOS technology. 1–2. 1 indexed citations
13.
Lee, Hing Wah, et al.. (2010). Thin Film Ag Masking for Deep Glass Micromachining. Electrochemical and Solid-State Letters. 13(11). H399–H399. 3 indexed citations
14.
Bien, Daniel C. S., et al.. (2007). Multiple Self-Aligned Iron Nanowires by a Dual Selective Chemical Vapor Deposition Process. Electrochemical and Solid-State Letters. 10(9). H251–H251. 1 indexed citations
15.
Bien, Daniel C. S., et al.. (2007). Investigation into the selectivity of CVD iron from Fe(CO)5 precursor on various metal and dielectric patterned substrates. Surface and Coatings Technology. 201(22-23). 8998–9002. 5 indexed citations
16.
Bien, Daniel C. S., et al.. (2006). Fabrication of Self-Aligned Sub-100 nm Iron Wires by Selective Chemical Vapor Deposition. Electrochemical and Solid-State Letters. 9(12). G340–G340. 4 indexed citations
17.
Bien, Daniel C. S., et al.. (2006). Selective deposition of CVD iron on silicon dioxide and tungsten. Microelectronic Engineering. 83(11-12). 2229–2233. 9 indexed citations
18.
Bien, Daniel C. S.. (2004). Fabrication and characterization of a novel microvalve for microfluidic applications. Journal of Micro/Nanolithography MEMS and MOEMS. 3(3). 486–486.
19.
Bien, Daniel C. S., et al.. (2003). Characterization of masking materials for deep glass micromachining. Journal of Micromechanics and Microengineering. 13(4). S34–S40. 76 indexed citations
20.
Bien, Daniel C. S., S.J.N. Mitchell, & H.S. Gamble. (2003). Fabrication and characterization of a micromachined passive valve. Journal of Micromechanics and Microengineering. 13(5). 557–562. 25 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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