Yiding Hao
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Machine Learning and Algorithms
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- Phonetics and Phonology Research
Papers in
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- Natural Language Processing Techniques 6
- Speech and dialogue systems 2
- Machine Learning and Algorithms 2
- Topic Modeling 2
- Algorithms and Data Compression 2
- Text Readability and Simplification 2
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- semigroups and automata theory 3
- Co-authors
- Robert Frank (4 shared papers)Rachel Sterneck (1 shared paper)Dana Angluin (2 shared papers)William Merrill (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)SHILAP Revista de lepidopterología (1 paper)Proceedings of the Annual Meetings on Phonology (1 paper)Scholarworks (University of Massachusetts Amherst) (1 paper)ScholarlyCommons (University of Pennsylvania) (1 paper)
- Partner nations
- United States
In The Last Decade
Yiding Hao
11 papers receiving 74 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 67
- Experimental and Cognitive Psychology 17
- Cognitive Neuroscience 14
- Language and Linguistics 6
- Signal Processing 4
Countries citing papers authored by Yiding Hao
This map shows the geographic impact of Yiding Hao'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 Yiding Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiding Hao more than expected).
Fields of papers citing papers by Yiding Hao
This network shows the impact of papers produced by Yiding Hao. 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 Yiding Hao. The network helps show where Yiding Hao may publish in the future.
Co-authors
The 4 scholars most cited alongside Yiding Hao, 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 | 2020 | 32 | |
| 2 | 2022 | 12 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 7 | |
| 5 | 2019 | 5 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2019 | 1 | |
| 12 | Rhythmic Syncope in Subregular Phonology | 2020 | 0 |
| 13 | 2019 | 0 |
About Yiding Hao
Yiding Hao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Experimental and Cognitive Psychology, Surgery and Molecular Biology, having authored 13 papers that have together received 77 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Phonetics and Phonology Research (4 papers), semigroups and automata theory (3 papers), Speech and dialogue systems (2 papers), Machine Learning and Algorithms (2 papers), Topic Modeling (2 papers), Algorithms and Data Compression (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Artificial Intelligence (67 citations), Experimental and Cognitive Psychology (17 citations), Cognitive Neuroscience (14 citations), Language and Linguistics (6 citations) and Signal Processing (4 citations). Yiding Hao has collaborated with scholars based in United States. Frequent co-authors include Robert Frank, Rachel Sterneck, Dana Angluin and William Merrill. Their work appears in journals such as Transactions of the Association for Computational Linguistics, SHILAP Revista de lepidopterología, Proceedings of the Annual Meetings on Phonology, Scholarworks (University of Massachusetts Amherst) and ScholarlyCommons (University of Pennsylvania).
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.