Lin Zhong
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Neuroscience and Music Perception
- Functional Brain Connectivity Studies
-
- Olfactory and Sensory Function Studies
Papers in
-
- Neural dynamics and brain function 5
- Visual perception and processing mechanisms 3
- Neural and Behavioral Psychology Studies 1
- Memory and Neural Mechanisms 1
- Functional Brain Connectivity Studies 1
-
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Ning-long Xu (2 shared papers)Yuan Zhang (2 shared papers)Carsen Stringer (3 shared papers)Marius Pachitariu (3 shared papers)Chunyu A. Duan (1 shared paper)Chunguang Wang (1 shared paper)Daniel Flickinger (1 shared paper)Hao Li (1 shared paper)
- Journals
- Nature Neuroscience (3 papers)Neuron (1 paper)Hepatobiliary & pancreatic diseases international (1 paper)PubMed (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Lin Zhong
6 papers receiving 176 citations
Peers
Comparison fields: 5 of 41
- Cognitive Neuroscience 131
- Sensory Systems 15
- Cellular and Molecular Neuroscience 58
- Developmental Biology 4
- Biophysics 7
Countries citing papers authored by Lin Zhong
This map shows the geographic impact of Lin Zhong'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 Lin Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Zhong more than expected).
Fields of papers citing papers by Lin Zhong
This network shows the impact of papers produced by Lin Zhong. 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 Lin Zhong. The network helps show where Lin Zhong may publish in the future.
Co-authors
The 9 scholars most cited alongside Lin Zhong, 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 | 2019 | 55 | |
| 2 | 2019 | 51 | |
| 3 | 2023 | 49 | |
| 4 | 2024 | 13 | |
| 5 | 2025 | 5 | |
| 6 | 2016 | 3 |
About Lin Zhong
Lin Zhong is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Cell Biology and Immunology, having authored 6 papers that have together received 176 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (3 papers), Zebrafish Biomedical Research Applications (1 paper), Neural and Behavioral Psychology Studies (1 paper), Memory and Neural Mechanisms (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Functional Brain Connectivity Studies (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (131 citations), Sensory Systems (15 citations), Cellular and Molecular Neuroscience (58 citations), Developmental Biology (4 citations) and Biophysics (7 citations). Lin Zhong has collaborated with scholars based in United States and China. Frequent co-authors include Ning-long Xu, Yuan Zhang, Carsen Stringer, Marius Pachitariu, Chunyu A. Duan, Chunguang Wang, Daniel Flickinger, Hao Li and Jon Arnold. Their work appears in journals such as Nature Neuroscience, Neuron, Hepatobiliary & pancreatic diseases international and PubMed.
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.