Leanne Lai-Hang Chan
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Molecular Biology
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- James D. WeilandMark S. HumayunHulin KuangHong YanJiajie ChenLong ChenEun Jin LeeAditi Ray
- Topics
- Neuroscience and Neural Engineering (11 papers)Neural dynamics and brain function (7 papers)Photoreceptor and optogenetics research (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceComputer Vision and Pattern Recognition
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Leanne Lai-Hang Chan
25 papers receiving 390 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 192
- Electrical and Electronic Engineering 102
- Molecular Biology 97
- Cognitive Neuroscience 78
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Leanne Lai-Hang Chan
This map shows the geographic impact of Leanne Lai-Hang Chan'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 Leanne Lai-Hang Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leanne Lai-Hang Chan more than expected).
Fields of papers citing papers by Leanne Lai-Hang Chan
This network shows the impact of papers produced by Leanne Lai-Hang Chan. 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 Leanne Lai-Hang Chan. The network helps show where Leanne Lai-Hang Chan may publish in the future.
Co-authorship network of co-authors of Leanne Lai-Hang Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Leanne Lai-Hang Chan. A scholar is included among the top collaborators of Leanne Lai-Hang Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leanne Lai-Hang Chan. Leanne Lai-Hang Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 26 | |
| 16 | 26 | |
| 17 | 67 | |
| 18 | 2 | |
| 19 | 57 | |
| 20 | 47 |
About Leanne Lai-Hang Chan
Leanne Lai-Hang Chan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 394 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Neural dynamics and brain function (7 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (192 citations), Cognitive Neuroscience (78 citations) and Computer Vision and Pattern Recognition (76 citations). Leanne Lai-Hang Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include James D. Weiland, Mark S. Humayun, Hulin Kuang, Hong Yan, Jiajie Chen, Long Chen, Eun Jin Lee, Aditi Ray, Norberto M. Grzywacz and Gerald J. Sun. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology and IEEE Transactions on Power Electronics.
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.