Ellis Meng

6.4k citations
186 papers · 5.0k indexed · 1 hit paper · h-index 37

Impact in

Papers in

Ellis Meng

180 papers receiving 4.9k citations

Hit Papers

Micromachined Thermal Flow Sensors—A Review 2012 · 380 citations
3802012202620162021100200300

Peers

Ellis Meng
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 2.3k
  • Bioengineering 456
  • Biomedical Engineering 3.0k
  • Polymers and Plastics 563
  • Cognitive Neuroscience 754
Replace Babak Ziaie with:
Babak Ziaie United States
Arnaud Bertsch Switzerland
Jihun Park South Korea
Florian Solzbacher United States
Chi Hwan Lee United States
Ki Jun Yu South Korea
Young‐Geun Park South Korea
Daniel Palanker United States
Chong Xie China
Sunghoon Lee Japan
Ellis Meng relative to Babak Ziaie United States Babak Ziaie's profile →
Citations per field
00.5×3.9×
Babak Ziaie · 1×
Citations per year

Countries citing papers authored by Ellis Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ellis Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20244
5 20240
6 202311
7 20232
8 20237
9 20221
10 202112
11 202142
12 202022
13 201733
14 201530
15 20137
16 20119
17 201115
18 200987
19 200912
20
Dual-Metal-Layer Parylene-Based Flexible Electrode Arrays for Intraocular Retinal Prostheses
20071

About Ellis Meng

Ellis Meng is a scholar working on Bioengineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 186 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (121 papers), Microfluidic and Capillary Electrophoresis Applications (43 papers), Analytical Chemistry and Sensors (42 papers), Advanced Memory and Neural Computing (33 papers), Advanced Sensor and Energy Harvesting Materials (23 papers), EEG and Brain-Computer Interfaces (21 papers), Photoreceptor and optogenetics research (20 papers) and 3D Printing in Biomedical Research (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Bioengineering (456 citations), Biomedical Engineering (3.0k citations), Polymers and Plastics (563 citations) and Cognitive Neuroscience (754 citations). Ellis Meng has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Lawrence Yu, Roya Sheybani, Po-Ying Li, Brian Kim, Jonathan T. W. Kuo, Kee Scholten, Christian A. Gutierrez, Yu‐Chong Tai, Mark S. Humayun and Ronalee Lo. Their work appears in journals such as Journal of Microelectromechanical Systems, Journal of Micromechanics and Microengineering, Biomedical Microdevices, Sensors and Actuators A Physical and Journal of Neural Engineering.

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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