David C. Ng

1.6k total citations
64 papers, 1.1k citations indexed

About

David C. Ng is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, David C. Ng has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 37 papers in Cellular and Molecular Neuroscience and 14 papers in Biomedical Engineering. Recurrent topics in David C. Ng's work include Neuroscience and Neural Engineering (36 papers), Advanced Memory and Neural Computing (20 papers) and CCD and CMOS Imaging Sensors (15 papers). David C. Ng is often cited by papers focused on Neuroscience and Neural Engineering (36 papers), Advanced Memory and Neural Computing (20 papers) and CCD and CMOS Imaging Sensors (15 papers). David C. Ng collaborates with scholars based in Australia, Japan and China. David C. Ng's co-authors include Alfred L. Goldberg, Prakash V. Sulakhe, George I. Drummond, Efstratios Skafidas, Yifan Cheng, Thomas Walz, Galit Kafri, David M. Smith, Takashi Tokuda and Jun Ohta and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Sensors.

In The Last Decade

David C. Ng

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Ng Australia 18 476 425 375 165 164 64 1.1k
Eric W. Lin United States 19 291 0.6× 299 0.7× 34 0.1× 39 0.2× 66 0.4× 52 1.1k
Veerle Reumers Belgium 19 92 0.2× 495 1.2× 401 1.1× 62 0.4× 194 1.2× 33 1.2k
Francesco Difato Italy 17 109 0.2× 178 0.4× 362 1.0× 185 1.1× 186 1.1× 30 792
Yang Ke China 22 721 1.5× 645 1.5× 400 1.1× 67 0.4× 88 0.5× 45 1.8k
Yuzo Takayama Japan 20 574 1.2× 151 0.4× 217 0.6× 23 0.1× 256 1.6× 92 1.0k
Toshio Yoshizawa Japan 16 70 0.1× 386 0.9× 108 0.3× 387 2.3× 60 0.4× 59 943
Warren C. Ruder United States 13 91 0.2× 426 1.0× 86 0.2× 43 0.3× 365 2.2× 33 889
Haisong Jiang Japan 20 171 0.4× 927 2.2× 254 0.7× 132 0.8× 54 0.3× 100 1.6k
Wolfgang Eberle Belgium 21 632 1.3× 264 0.6× 619 1.7× 138 0.8× 364 2.2× 70 1.4k
Hidenobu Mizuno Japan 17 52 0.1× 371 0.9× 602 1.6× 137 0.8× 30 0.2× 41 1.0k

Countries citing papers authored by David C. Ng

Since Specialization
Citations

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

Fields of papers citing papers by David C. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Ng. 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 David C. Ng. The network helps show where David C. Ng may publish in the future.

Co-authorship network of co-authors of David C. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Ng. A scholar is included among the top collaborators of David C. Ng 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 David C. Ng. David C. Ng 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.
2.
Ng, David C., et al.. (2012). Investigation of Frequency-Dependent Effects in Inductive Coils for Implantable Electronics. IEEE Transactions on Magnetics. 49(4). 1353–1360. 25 indexed citations
3.
Ng, David C., et al.. (2011). Specific absorption rate distribution on a human head model from inductive power coils. International Symposium on Electromagnetic Compatibility. 79–83. 5 indexed citations
4.
Ng, David C., Chris E. Williams, Chad S. Boyd, et al.. (2011). Wireless power delivery for retinal prostheses. PubMed. 295. 8356–8360. 17 indexed citations
5.
Tran, Ngoc, Efstratios Skafidas, Jiawei Yang, et al.. (2011). A prototype 64-electrode stimulator in 65 nm CMOS process towards a high density epi-retinal prosthesis. PubMed. 2011. 6729–6732. 18 indexed citations
6.
Ng, David C., et al.. (2010). A Sub-1 V, 26 $\mu$W, Low-Output-Impedance CMOS Bandgap Reference With a Low Dropout or Source Follower Mode. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 19(7). 1305–1309. 19 indexed citations
7.
Yang, Jiawei, et al.. (2010). A GFSK demodulator for ultra-low power MICS band Receiver. 56. 1–4. 1 indexed citations
8.
Ng, David C., et al.. (2009). Wireless technologies for closed-loop retinal prostheses. Journal of Neural Engineering. 6(6). 65004–65004. 41 indexed citations
9.
Tran, Ngoc, Jiawei Yang, David C. Ng, et al.. (2009). A fully flexible stimulator using 65 nm cmos process for 1024-electrode epi-retinal prosthesis. PubMed. 78. 1643–1646. 9 indexed citations
10.
Tamura, Hideki, David C. Ng, Takashi Tokuda, et al.. (2008). One-chip sensing device (biomedical photonic LSI) enabled to assess hippocampal steep and gradual up-regulated proteolytic activities. Journal of Neuroscience Methods. 173(1). 114–120. 40 indexed citations
11.
Ng, David C., Takashi Tokuda, Sadao Shiosaka, Yasuo Tano, & Jun Ohta. (2008). Implantable Microimagers. Sensors. 8(5). 3183–3204. 9 indexed citations
12.
Ng, David C., Hideki Tamura, Takashi Tokuda, et al.. (2006). Real time in vivo imaging and measurement of serine protease activity in the mouse hippocampus using a dedicated complementary metal-oxide semiconductor imaging device. Journal of Neuroscience Methods. 156(1-2). 23–30. 29 indexed citations
13.
Furumiya, Tetsuo, David C. Ng, Keiichiro Kagawa, et al.. (2006). A 16x16-pixel pulse-frequency-modulation based image sensor for retinal prosthesis. 276–279. 2 indexed citations
14.
Ng, David C., Takashi Tokuda, Takuma Nakagawa, et al.. (2006). A New Neural Imaging Approach Using a CMOS Imaging Device. PubMed. 106. 1061–1064. 1 indexed citations
15.
Tokuda, Takashi, David C. Ng, Akio Yamamoto, et al.. (2006). An optical and potential dual-image CMOS sensor for on-chip neural and DNA imaging applications. 106. 4–4. 4 indexed citations
16.
Smith, David M., Galit Kafri, Yifan Cheng, et al.. (2005). ATP Binding to PAN or the 26S ATPases Causes Association with the 20S Proteasome, Gate Opening, and Translocation of Unfolded Proteins. Molecular Cell. 20(5). 687–698. 208 indexed citations
17.
Tokuda, Takashi, David C. Ng, Hideki Okamoto, et al.. (2005). Pulse modulation image sensors for on-chip bioimaging and biosensing applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5677. 9–9.
18.
Furumiya, Tetsuo, David C. Ng, Keiichiro Kagawa, et al.. (2005). Functional verification of pulse frequency modulation-based image sensor for retinal prosthesis by in vitro electrophysiological experiments using frog retina. Biosensors and Bioelectronics. 21(7). 1059–1068. 11 indexed citations
19.
Tokuda, Takashi, David C. Ng, Akio Yamamoto, et al.. (2005). A CMOS optical/potential image sensor with 7.5μm pixel size for on-chip neural and DNA spot sensing. PubMed. 2005. 7269–7272. 2 indexed citations
20.
Zwickl, Peter, David C. Ng, Kee Min Woo, Alfred L. Goldberg, & Hans‐Peter Klenk. (1999). An Archaebacterial ATPase, Homologous to ATPases in the Eukaryotic 26 S Proteasome, Activates Protein Breakdown by 20 S Proteasomes. Journal of Biological Chemistry. 274(37). 26008–26014. 128 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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