C. Zhang
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Catalysis top 10%
- Ionic liquids properties and applications
Papers in
-
- Music and Audio Processing 15
- Speech and Audio Processing 13
-
- Speech Recognition and Synthesis 17
- Natural Language Processing Techniques 5
- Co-authors
- Philip C. Woodland (15 shared papers)Sanjay V. Malhotra (4 shared papers)A.J. Francis (4 shared papers)John Robertson (6 shared papers)Mark Gales (8 shared papers)Cleveland J. Dodge (2 shared papers)Paul D. Bristowe (1 shared paper)MengChu Zhou (1 shared paper)
- Journals
- physica status solidi (b) (2 papers)RSC Advances (2 papers)Scripta Materialia (1 paper)Journal of Catalysis (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
C. Zhang
43 papers receiving 910 citations
Peers
Comparison fields: 5 of 106
- Signal Processing 226
- Catalysis 126
- Artificial Intelligence 302
- Electrochemistry 51
- Materials Chemistry 273
Countries citing papers authored by C. Zhang
This map shows the geographic impact of C. Zhang'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 C. Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Zhang more than expected).
Fields of papers citing papers by C. Zhang
This network shows the impact of papers produced by C. Zhang. 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 C. Zhang. The network helps show where C. Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 68 | |
| 2 | 2010 | 61 | |
| 3 | 2016 | 55 | |
| 4 | 2007 | 55 | |
| 5 | 2010 | 51 | |
| 6 | 2015 | 45 | |
| 7 | 2008 | 43 | |
| 8 | 2013 | 35 | |
| 9 | 2013 | 35 | |
| 10 | 2013 | 34 | |
| 11 | 2011 | 31 | |
| 12 | 2003 | 31 | |
| 13 | 2014 | 24 | |
| 14 | 2005 | 24 | |
| 15 | 2023 | 24 | |
| 16 | 2012 | 23 | |
| 17 | 2012 | 23 | |
| 18 | 2007 | 22 | |
| 19 | 2024 | 22 | |
| 20 | 2015 | 22 |
About C. Zhang
C. Zhang is a scholar working on Signal Processing, Artificial Intelligence, Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering, having authored 45 papers that have together received 953 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Music and Audio Processing (15 papers), Speech and Audio Processing (13 papers), Carbon Nanotubes in Composites (6 papers), Graphene research and applications (6 papers), Natural Language Processing Techniques (5 papers), Catalytic Processes in Materials Science (3 papers) and Ionic liquids properties and applications (3 papers). The work is most often cited by research in Signal Processing (226 citations), Catalysis (126 citations), Artificial Intelligence (302 citations), Electrochemistry (51 citations) and Materials Chemistry (273 citations). C. Zhang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Philip C. Woodland, Sanjay V. Malhotra, A.J. Francis, John Robertson, Mark Gales, Cleveland J. Dodge, Paul D. Bristowe, MengChu Zhou, Stephan Hofmann and Guofang Zhong. Their work appears in journals such as physica status solidi (b), RSC Advances, Scripta Materialia, Journal of Catalysis and The Journal of Chemical 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.