Jia Jia
- Signal Processing top 2%
- Music and Audio Processing 19
- Speech and Audio Processing 17
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 32
- Natural Language Processing Techniques 15
- Speech and dialogue systems 14
- Sentiment Analysis and Opinion Mining 9
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- Emotion and Mood Recognition 16
- Applied Psychology top 5%
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- Face recognition and analysis 11
- Co-authors
- Lianhong CaiHuanbo LuanZhiyuan LiuMaosong SunRuobing XieHelen MengZhiyong WuGuangyao Shen
- Journals
- SHILAP Revista de lepidopterología (1 paper)Free Radical Biology and Medicine (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Jia Jia
96 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Signal Processing 430
- Artificial Intelligence 1.2k
- Experimental and Cognitive Psychology 490
- Applied Psychology 168
- Computer Vision and Pattern Recognition 513
Countries citing papers authored by Jia Jia
This map shows the geographic impact of Jia Jia'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 Jia Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Jia more than expected).
Fields of papers citing papers by Jia Jia
This network shows the impact of papers produced by Jia Jia. 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 Jia Jia. The network helps show where Jia Jia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia Jia, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2019 | 56 | |
| 13 | 2018 | 79 | |
| 14 | 2017 | 10 | |
| 15 | 2016 | 6 | |
| 16 | 2016 | 11 | |
| 17 | 2013 | 22 | |
| 18 | Modeling the correlation between modality semantics and facial expressions | 2012 | 2 |
| 19 | 2012 | 27 | |
| 20 | 2007 | 11 |
About Jia Jia
Jia Jia is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Music and Audio Processing (19 papers), Speech and Audio Processing (17 papers), Emotion and Mood Recognition (16 papers), Natural Language Processing Techniques (15 papers), Speech and dialogue systems (14 papers), Face recognition and analysis (11 papers) and Sentiment Analysis and Opinion Mining (9 papers). The work is most often cited by research in Signal Processing (430 citations), Artificial Intelligence (1.2k citations) and Experimental and Cognitive Psychology (490 citations). Jia Jia has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Lianhong Cai, Huanbo Luan, Zhiyuan Liu, Maosong Sun, Ruobing Xie, Helen Meng, Zhiyong Wu, Guangyao Shen, Tat‐Seng Chua and Jie Tang. Their work appears in journals such as SHILAP Revista de lepidopterología, Free Radical Biology and Medicine and Neurocomputing.
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.