Hexin Liang
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Neuroscience and Neural Engineering 4
- Photoreceptor and optogenetics research 1
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- Neural dynamics and brain function 3
- Memory and Neural Mechanisms 1
- EEG and Brain-Computer Interfaces 1
- Co-authors
- Hannah R. Joo (5 shared papers)Jiang Lan Fan (5 shared papers)Loren M. Frank (5 shared papers)Jason E. Chung (5 shared papers)Charlotte Geaghan-Breiner (5 shared papers)Supin Chen (4 shared papers)Angela Tooker (4 shared papers)Vanessa Tolosa (4 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Current Biology (1 paper)Journal of Neural Engineering (1 paper)Neuron (1 paper)
- Partner nations
- United States
In The Last Decade
Hexin Liang
5 papers receiving 299 citations
Peers
Comparison fields: 5 of 39
- Cellular and Molecular Neuroscience 250
- Cognitive Neuroscience 188
- Polymers and Plastics 29
- Sensory Systems 8
- Electrical and Electronic Engineering 91
Countries citing papers authored by Hexin Liang
This map shows the geographic impact of Hexin Liang'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 Hexin Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hexin Liang more than expected).
Fields of papers citing papers by Hexin Liang
This network shows the impact of papers produced by Hexin Liang. 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 Hexin Liang. The network helps show where Hexin Liang may publish in the future.
Co-authors
The 18 scholars most cited alongside Hexin Liang, 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 | 2018 | 228 | |
| 2 | 2019 | 45 | |
| 3 | 2019 | 15 | |
| 4 | 2021 | 10 | |
| 5 | 2019 | 2 |
About Hexin Liang
Hexin Liang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Social Psychology and Electrical and Electronic Engineering, having authored 5 papers that have together received 300 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (1 paper), Receptor Mechanisms and Signaling (1 paper), EEG and Brain-Computer Interfaces (1 paper), Neuroendocrine regulation and behavior (1 paper), Photoreceptor and optogenetics research (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (250 citations), Cognitive Neuroscience (188 citations), Polymers and Plastics (29 citations), Sensory Systems (8 citations) and Electrical and Electronic Engineering (91 citations). Hexin Liang has collaborated with scholars based in United States. Frequent co-authors include Hannah R. Joo, Jiang Lan Fan, Loren M. Frank, Jason E. Chung, Charlotte Geaghan-Breiner, Supin Chen, Angela Tooker, Vanessa Tolosa, Daniel F. Liu and Magnus Karlsson. Their work appears in journals such as Journal of Visualized Experiments, Current Biology, Journal of Neural Engineering and Neuron.
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.