Rosa H. M. Chan
- Cognitive Neuroscience top 2%
- Biomedical Engineering top 5%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Dong SongTheodore W. BergerBeth JelfsWen J. LiVasilis Z. MarmarelisChung TinXiaolong ZhaiLeslie Z. Benet
- Topics
- Neural dynamics and brain function (44 papers)EEG and Brain-Computer Interfaces (21 papers)Muscle activation and electromyography studies (16 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Rosa H. M. Chan
113 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 157
- Cognitive Neuroscience 1.1k
- Biomedical Engineering 702
- Cellular and Molecular Neuroscience 671
- Electrical and Electronic Engineering 373
- Computer Vision and Pattern Recognition 248
Countries citing papers authored by Rosa H. M. Chan
This map shows the geographic impact of Rosa H. M. 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 Rosa H. M. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa H. M. Chan more than expected).
Fields of papers citing papers by Rosa H. M. Chan
This network shows the impact of papers produced by Rosa H. M. 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 Rosa H. M. Chan. The network helps show where Rosa H. M. Chan may publish in the future.
Co-authorship network of co-authors of Rosa H. M. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa H. M. Chan. A scholar is included among the top collaborators of Rosa H. M. 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 Rosa H. M. Chan. Rosa H. M. 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 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | Evaluating the Application of the BDDCS to Assess the Risk of Skin and Liver Toxicity Potential in Small Molecules Using In Vitro and Human Clinical Data | 1 |
| 13 | 149 | |
| 14 | 24 | |
| 15 | 27 | |
| 16 | 11 | |
| 17 | 17 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 9 |
About Rosa H. M. Chan
Rosa H. M. Chan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 121 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (44 papers), EEG and Brain-Computer Interfaces (21 papers) and Muscle activation and electromyography studies (16 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Human-Computer Interaction (208 citations) and Cellular and Molecular Neuroscience (671 citations). Rosa H. M. Chan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Dong Song, Theodore W. Berger, Beth Jelfs, Wen J. Li, Vasilis Z. Marmarelis, Chung Tin, Xiaolong Zhai, Leslie Z. Benet, Robert E. Hampson and Sam A. Deadwyler. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.
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.