David C. Ng

1.7k citations
65 papers · 1.1k · h-index 18

Impact in

Papers in

David C. Ng

62 papers receiving 1.1k citations

Peers

David C. Ng
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 371
  • Cell Biology 161
  • Electrical and Electronic Engineering 462
  • Biophysics 44
  • Bioengineering 38
Replace Yuzo Takayama with:
Yuzo Takayama Japan
Veerle Reumers Belgium
Francesco Difato Italy
Christian Bollensdorff United Kingdom
Warren C. Ruder United States
Wolfgang Eberle Belgium
Vladimir G. Fast United States
Yuichi Sakumura Japan
Toshio Yoshizawa Japan
Coleman Murray United States
David C. Ng relative to Yuzo Takayama Japan Yuzo Takayama's profile →
Citations per field
00.5×7.3×
Yuzo Takayama · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David C. Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David C. Ng Line = papers co-authored together David C. Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005208
2 1999127
3 197370
4 201467
5 199750
6 197347
7 200647
8 200941
9 200840
10 201139
11 200629
12 201225
13 200723
14 200821
15 201020
16 200419
17 201118
18 201117
19 201517
20 200616

About David C. Ng

David C. Ng is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience and Molecular Biology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (36 papers), Advanced Memory and Neural Computing (19 papers), CCD and CMOS Imaging Sensors (15 papers), Wireless Power Transfer Systems (11 papers), Energy Harvesting in Wireless Networks (9 papers), Analog and Mixed-Signal Circuit Design (9 papers), Photoreceptor and optogenetics research (8 papers) and Radio Frequency Integrated Circuit Design (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (371 citations), Cell Biology (161 citations), Electrical and Electronic Engineering (462 citations), Biophysics (44 citations) and Bioengineering (38 citations). David C. Ng has collaborated with scholars based in Australia, Japan and Hong Kong. Frequent co-authors include Alfred L. Goldberg, Prakash V. Sulakhe, George I. Drummond, Efstratios Skafidas, Yifan Cheng, David M. Smith, Galit Kafri, Thomas Walz, Takashi Tokuda and Jun Ohta. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of Biological Chemistry, Electronics Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Molecular Cell.

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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