Peilu Wang
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
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- Estrogen and related hormone effects
Papers in
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- Natural Language Processing Techniques 6
- Topic Modeling 5
- Speech and dialogue systems 2
- Speech Recognition and Synthesis 2
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- Metal and Thin Film Mechanics 4
- Co-authors
- Hai Zhao (6 shared papers)Adrian V. Lee (4 shared papers)Amir Bahreini (4 shared papers)Steffi Oesterreich (4 shared papers)Zheqi Li (3 shared papers)Kevin M. Levine (3 shared papers)Lei He (2 shared papers)Yao Qian (2 shared papers)
- Journals
- BMJ Open (2 papers)Journal of Colloid and Interface Science (2 papers)Frontiers in Plant Science (1 paper)Chinese Physics Letters (1 paper)Review of Scientific Instruments (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Peilu Wang
26 papers receiving 439 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 113
- Genetics 85
- Cancer Research 37
- Renewable Energy, Sustainability and the Environment 38
- Water Science and Technology 26
Countries citing papers authored by Peilu Wang
This map shows the geographic impact of Peilu Wang'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 Peilu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peilu Wang more than expected).
Fields of papers citing papers by Peilu Wang
This network shows the impact of papers produced by Peilu Wang. 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 Peilu Wang. The network helps show where Peilu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peilu Wang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 102 | |
| 2 | 2018 | 46 | |
| 3 | 2016 | 35 | |
| 4 | 2015 | 32 | |
| 5 | 2017 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2024 | 22 | |
| 8 | 2016 | 22 | |
| 9 | 2019 | 18 | |
| 10 | Graph Model for Chinese Spell Checking | 2013 | 17 |
| 11 | 2000 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2022 | 12 | |
| 15 | Grammatical Error Correction as Multiclass Classification with Single Model | 2013 | 9 |
| 16 | 2014 | 9 | |
| 17 | 2006 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2019 | 5 |
About Peilu Wang
Peilu Wang is a scholar working on Artificial Intelligence, Mechanics of Materials, Mechanical Engineering, Molecular Biology and Rehabilitation, having authored 27 papers that have together received 467 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Metal and Thin Film Mechanics (4 papers), Speech and dialogue systems (2 papers), Estrogen and related hormone effects (2 papers), Speech Recognition and Synthesis (2 papers), Advanced materials and composites (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Artificial Intelligence (113 citations), Genetics (85 citations), Cancer Research (37 citations), Renewable Energy, Sustainability and the Environment (38 citations) and Water Science and Technology (26 citations). Peilu Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hai Zhao, Adrian V. Lee, Amir Bahreini, Steffi Oesterreich, Zheqi Li, Kevin M. Levine, Lei He, Yao Qian, David Chu and Frank K. Soong. Their work appears in journals such as BMJ Open, Journal of Colloid and Interface Science, Frontiers in Plant Science, Chinese Physics Letters and Review of Scientific Instruments.
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.