Daniel Huang
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Polymers and Plastics
- Co-authors
- Vivek SubramanianSteven MolesaFrank LiaoDavid RedingerAmanda R. MurphyPaul C. ChangJosephine LeeJean M. J. Fréchet
- Topics
- Brain Metastases and Treatment (2 papers)Mathematics, Computing, and Information Processing (1 paper)Nanomaterials and Printing Technologies (1 paper)
- Cited by
- Electronic, Optical and Magnetic MaterialsElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- Chemistry of MaterialsJournal of The Electrochemical SocietyInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Daniel Huang
9 papers receiving 530 citations
Peers
Comparison fields: 5 of 81
- Electrical and Electronic Engineering 336
- Biomedical Engineering 238
- Materials Chemistry 128
- Electronic, Optical and Magnetic Materials 117
- Polymers and Plastics 78
Countries citing papers authored by Daniel Huang
This map shows the geographic impact of Daniel Huang'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 Daniel Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Huang more than expected).
Fields of papers citing papers by Daniel Huang
This network shows the impact of papers produced by Daniel Huang. 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 Daniel Huang. The network helps show where Daniel Huang may publish in the future.
Co-authorship network of co-authors of Daniel Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Huang. A scholar is included among the top collaborators of Daniel Huang 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 Daniel Huang. Daniel Huang 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 | 10 | |
| 3 | GamePad: A Learning Environment for Theorem Proving | 6 |
| 4 | 27 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 73 | |
| 8 | 428 | |
| 9 | 1 | |
| 10 | 2 |
About Daniel Huang
Daniel Huang is a scholar working on Otorhinolaryngology, Biophysics and Transportation, having authored 10 papers that have together received 557 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (2 papers), Mathematics, Computing, and Information Processing (1 paper) and Nanomaterials and Printing Technologies (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (117 citations), Electrical and Electronic Engineering (336 citations) and Polymers and Plastics (78 citations). Daniel Huang has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Vivek Subramanian, Steven Molesa, Frank Liao, David Redinger, Amanda R. Murphy, Paul C. Chang, Josephine Lee, Jean M. J. Fréchet, William J. Holtz and Michel M. Maharbiz. Their work appears in journals such as Chemistry of Materials, Journal of The Electrochemical Society and International Journal of Radiation Oncology*Biology*Physics.
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.