Tien-Ping Tan
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Natural Language Processing Techniques 27
- Speech Recognition and Synthesis 22
- Topic Modeling 17
- Speech and dialogue systems 7
- Sentiment Analysis and Opinion Mining 5
- Co-authors
- Haizhou Li (5 shared papers)Eng Siong Chng (5 shared papers)Dau-Cheng Lyu (3 shared papers)Keng Hoon Gan (9 shared papers)Xiong Xiao (3 shared papers)Rosni Abdullah (1 shared paper)Laurent Besacier (3 shared papers)Laurent Besacier (1 shared paper)
In The Last Decade
Tien-Ping Tan
55 papers receiving 419 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 335
- Signal Processing 94
- Linguistics and Language 27
- Experimental and Cognitive Psychology 59
- Human-Computer Interaction 20
Countries citing papers authored by Tien-Ping Tan
This map shows the geographic impact of Tien-Ping Tan'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 Tien-Ping Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien-Ping Tan more than expected).
Fields of papers citing papers by Tien-Ping Tan
This network shows the impact of papers produced by Tien-Ping Tan. 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 Tien-Ping Tan. The network helps show where Tien-Ping Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tien-Ping Tan, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 79 | |
| 2 | 2015 | 42 | |
| 3 | 2009 | 28 | |
| 4 | 2012 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2023 | 24 | |
| 7 | 2017 | 18 | |
| 8 | 2016 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2007 | 10 | |
| 13 | 2011 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2006 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2016 | 7 | |
| 19 | Evaluating LSTM Networks, HMM and WFST in Malay Part-of-Speech Tagging | 2017 | 5 |
| 20 | 2018 | 5 |
About Tien-Ping Tan
Tien-Ping Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 61 papers that have together received 454 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Speech Recognition and Synthesis (22 papers), Topic Modeling (17 papers), Speech and dialogue systems (7 papers), Speech and Audio Processing (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Music and Audio Processing (5 papers) and Phonetics and Phonology Research (4 papers). The work is most often cited by research in Artificial Intelligence (335 citations), Signal Processing (94 citations), Linguistics and Language (27 citations), Experimental and Cognitive Psychology (59 citations) and Human-Computer Interaction (20 citations). Tien-Ping Tan has collaborated with scholars based in Malaysia, China and France. Frequent co-authors include Haizhou Li, Eng Siong Chng, Dau-Cheng Lyu, Keng Hoon Gan, Xiong Xiao, Rosni Abdullah, Laurent Besacier, Laurent Besacier, Anand Singh and Li‐Pei Wong. Their work appears in journals such as IEEE Access, Frontiers in Human Neuroscience, Journal of Information Science, Language Resources and Evaluation and Biomedical Signal Processing and Control.
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.