David Zhou

1.1k citations
16 papers · 694 · h-index 9

Impact in

Papers in

David Zhou

11 papers receiving 682 citations

Peers

David Zhou
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 521
  • Polymers and Plastics 311
  • Cognitive Neuroscience 155
  • Bioengineering 35
  • Biomedical Engineering 234
Replace Rachelle T. Hassarati with:
Rachelle T. Hassarati Australia
Emma Maggiolini Italy
Lilach Bareket Israel
Christina Hassler Germany
Juan S. Ordonez Germany
Moshe David‐Pur Israel
T.D. Plante United States
Hongbo Yu China
Josef Goding United Kingdom
Silke Musa Belgium
David Zhou relative to Rachelle T. Hassarati Australia Rachelle T. Hassarati's profile →
Citations per field
00.5×1.5×1.9×
Rachelle T. Hassarati · 1×
Citations per year

Countries citing papers authored by David Zhou

Since Specialization
Citations

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

Fields of papers citing papers by David Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Zhou, 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 Zhou Line = papers co-authored together David Zhou links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2007228
2 2011212
3 201092
4 201346
5 200745
6 200927
7 200119
8 200712
9 20198
10
"Not a perfect situation, but..." A single-practice survey of patient experience of phone consultations during COVID-19 Alert Level 4 in New Zealand.
20213
11
Long-term Reliability of Argus® II Retinal Implants
20131
12 20241
13 20250
14 20240
15 20240
16 20250

About David Zhou

David Zhou is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 694 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), GaN-based semiconductor devices and materials (5 papers), EEG and Brain-Computer Interfaces (5 papers), Silicon Carbide Semiconductor Technologies (3 papers), Advanced Memory and Neural Computing (3 papers), Semiconductor materials and devices (3 papers), Conducting polymers and applications (2 papers) and Semiconductor Quantum Structures and Devices (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (521 citations), Polymers and Plastics (311 citations), Cognitive Neuroscience (155 citations), Bioengineering (35 citations) and Biomedical Engineering (234 citations). David Zhou has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xinyan Tracy Cui, Robert J. Greenberg, Elias Greenbaum, Cassandra L. Weaver, Xiliang Luo, Jessy D. Dorn, James D. Weiland, Mark S. Humayun, Stephen J. Rebscher and Fan‐Gang Zeng. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Japanese Journal of Applied Physics, Artificial Organs, Journal of The Electrochemical Society and Biomaterials.

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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