Charles Zheng
- Cognitive Neuroscience top 10%
- Molecular Biology
- Experimental and Cognitive Psychology top 10%
- Physiology
- Computer Vision and Pattern Recognition
- Co-authors
- Francisco PereiraMartin N. HebartChris I. BakerDouglas ThainDrena DobbsJane F. FergusonMichael TerribiliniVasant Honavar
- Topics
- Salivary Gland Disorders and Functions (4 papers)Functional Brain Connectivity Studies (4 papers)Mental Health Research Topics (4 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyInformation Systems and Management
- Partner nations
- United StatesChinaGermany
In The Last Decade
Charles Zheng
27 papers receiving 626 citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 208
- Molecular Biology 143
- Experimental and Cognitive Psychology 79
- Physiology 72
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Charles Zheng
This map shows the geographic impact of Charles Zheng'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 Charles Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Zheng more than expected).
Fields of papers citing papers by Charles Zheng
This network shows the impact of papers produced by Charles Zheng. 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 Charles Zheng. The network helps show where Charles Zheng may publish in the future.
Co-authorship network of co-authors of Charles Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Zheng. A scholar is included among the top collaborators of Charles Zheng 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 Charles Zheng. Charles Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 51 | |
| 5 | 14 | |
| 6 | 15 | |
| 7 | 129 | |
| 8 | 53 | |
| 9 | 5 | |
| 10 | 31 | |
| 11 | 31 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 50 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 107 | |
| 19 | 28 | |
| 20 | 1 |
About Charles Zheng
Charles Zheng is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Information Systems and Management, having authored 28 papers that have together received 631 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (4 papers), Functional Brain Connectivity Studies (4 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Cognitive Neuroscience (208 citations), Experimental and Cognitive Psychology (79 citations) and Information Systems and Management (34 citations). Charles Zheng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Francisco Pereira, Martin N. Hebart, Chris I. Baker, Douglas Thain, Drena Dobbs, Jane F. Ferguson, Michael Terribilini, Vasant Honavar, Rasna R. Walia and Barbara Lewis. Their work appears in journals such as Nucleic Acids Research, NeuroImage and Biological Psychiatry.
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.