Jinhui Chen
- Signal Processing top 10%
- Speech and Audio Processing 11
- Music and Audio Processing 7
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- Emotion and Mood Recognition 4
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- Face and Expression Recognition 7
- Image Retrieval and Classification Techniques 4
- Face recognition and analysis 3
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis 8
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- Advanced Multi-Objective Optimization Algorithms 3
- Co-authors
- Tetsuya TakiguchiYasuo ArikiZhaojie LuoFaliang HuangShichao ZhangXuelong LiJilian ZhangJunying Chen
- Cited by
- Signal ProcessingExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- JapanChinaUnited Kingdom
In The Last Decade
Jinhui Chen
38 papers receiving 283 citations
Peers
Comparison fields: 5 of 85
- Signal Processing 71
- Experimental and Cognitive Psychology 63
- Computer Vision and Pattern Recognition 94
- Artificial Intelligence 122
- Urban Studies 9
Countries citing papers authored by Jinhui Chen
This map shows the geographic impact of Jinhui Chen'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 Jinhui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhui Chen more than expected).
Fields of papers citing papers by Jinhui Chen
This network shows the impact of papers produced by Jinhui Chen. 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 Jinhui Chen. The network helps show where Jinhui Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinhui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 13 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 9 | |
| 11 | 2017 | 16 | |
| 12 | 2017 | 7 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2013 | 12 | |
| 17 | 2012 | 5 | |
| 18 | A Research on Object Technology in Scripting Language | 2006 | 0 |
| 19 | Associative learning shapes the neural code for stimulus magnitude in primary auditory cortex | 2004 | 1 |
| 20 | 2001 | 5 |
About Jinhui Chen
Jinhui Chen is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 294 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (8 papers), Music and Audio Processing (7 papers), Face and Expression Recognition (7 papers), Emotion and Mood Recognition (4 papers), Image Retrieval and Classification Techniques (4 papers), Face recognition and analysis (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Signal Processing (71 citations), Experimental and Cognitive Psychology (63 citations) and Computer Vision and Pattern Recognition (94 citations). Jinhui Chen has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Tetsuya Takiguchi, Yasuo Ariki, Zhaojie Luo, Faliang Huang, Shichao Zhang, Xuelong Li, Jilian Zhang, Junying Chen, Huaqing Min and Edwin R. Hancock. Their work appears in journals such as Pattern Recognition, Information Sciences and Medicine.
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.