Changcheng Wu
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Human-Computer Interaction top 2%
- Topics
- EEG and Brain-Computer Interfaces (12 papers)Muscle activation and electromyography studies (11 papers)Neuroscience and Neural Engineering (9 papers)
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Changcheng Wu
61 papers receiving 785 citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 339
- Biomedical Engineering 253
- Electrical and Electronic Engineering 200
- Cellular and Molecular Neuroscience 189
- Human-Computer Interaction 151
Countries citing papers authored by Changcheng Wu
This map shows the geographic impact of Changcheng Wu'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 Changcheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changcheng Wu more than expected).
Fields of papers citing papers by Changcheng Wu
This network shows the impact of papers produced by Changcheng Wu. 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 Changcheng Wu. The network helps show where Changcheng Wu may publish in the future.
Co-authorship network of co-authors of Changcheng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Changcheng Wu. A scholar is included among the top collaborators of Changcheng Wu 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 Changcheng Wu. Changcheng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 40 | |
| 13 | 2 | |
| 14 | Scenario interaction system of rehabilitation training robot based on Unity3D and Kinect | 9 |
| 15 | 36 | |
| 16 | 57 | |
| 17 | 37 | |
| 18 | STUDY ON DISSOLUBILITY OF CHITOSAN IN FOUR KINDS OF IMIDAZOLE-BASED IONIC LIQUIDS | 4 |
| 19 | Homogeneous graft copolymerization of chitosan in ionic liquid | 1 |
| 20 | Synthesis and Photocatalylic Activity of NiO/Ba_2CaWO_6 for Water Splitting | 1 |
About Changcheng Wu
Changcheng Wu is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Rehabilitation, having authored 67 papers that have together received 802 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (11 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Human-Computer Interaction (151 citations), Cognitive Neuroscience (339 citations) and Cellular and Molecular Neuroscience (189 citations). Changcheng Wu has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Aiguo Song, Hong Zeng, Baoguo Xu, Huijun Li, Dalin Zhang, Zhang Li, Wenlong Li, XU Bao-guo, Adnan Shakoor and Mingyang Xie. Their work appears in journals such as PLoS ONE, Journal of Power Sources and Chemical Engineering Journal.
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.