Chi Lu
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in
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- Neuroscience and Neural Engineering 5
- Photoreceptor and optogenetics research 4
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- Neural dynamics and brain function 3
- Tactile and Sensory Interactions 1
- Co-authors
- Nanshu Lu (1 shared paper)Shixuan Yang (1 shared paper)John A. Rogers (1 shared paper)Polina Anikeeva (6 shared papers)Yoel Fink (4 shared papers)Andrés Canales (5 shared papers)Xiaoting Jia (3 shared papers)Chong Hou (2 shared papers)
- Journals
- Advanced Functional Materials (3 papers)Nature Biotechnology (1 paper)Nature Neuroscience (1 paper)Science Advances (1 paper)PMC (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Chi Lu
8 papers receiving 1.9k citations
Chi Lu's Hit Papers
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 760
- Polymers and Plastics 527
- Biomedical Engineering 1.3k
- Cognitive Neuroscience 527
- Bioengineering 79
Countries citing papers authored by Chi Lu
This map shows the geographic impact of Chi Lu'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 Chi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Lu more than expected).
Fields of papers citing papers by Chi Lu
This network shows the impact of papers produced by Chi Lu. 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 Chi Lu. The network helps show where Chi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Highly Sensitive Skin‐Mountable Strain Gauges Based Entirely on Elastomers Hit paper breakdown → | 2012 | 740 |
| 2 | Multifunctional fibers for simultaneous optical, electrical and chemical interrogation of neural circuits in vivo Hit paper breakdown → | 2015 | 558 |
| 3 | 2017 | 308 | |
| 4 | 2017 | 195 | |
| 5 | 2014 | 77 | |
| 6 | 2012 | 4 | |
| 7 | One-step optogenetics with multifunctional flexible polymer fibers | 2017 | 2 |
| 8 | 2014 | 2 |
About Chi Lu
Chi Lu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Photoreceptor and optogenetics research (4 papers), Neural dynamics and brain function (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Tactile and Sensory Interactions (1 paper), Muscle activation and electromyography studies (1 paper), Molecular Communication and Nanonetworks (1 paper) and Nanofabrication and Lithography Techniques (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (760 citations), Polymers and Plastics (527 citations), Biomedical Engineering (1.3k citations), Cognitive Neuroscience (527 citations) and Bioengineering (79 citations). Chi Lu has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Nanshu Lu, Shixuan Yang, John A. Rogers, Polina Anikeeva, Yoel Fink, Andrés Canales, Xiaoting Jia, Chong Hou, Jennifer Selvidge and Ryan A. Koppes. Their work appears in journals such as Advanced Functional Materials, Nature Biotechnology, Nature Neuroscience, Science Advances and PMC.
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.