Pidong Wang
Impact in
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- Probabilistic and Robust Engineering Design
- Risk and Safety Analysis
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- Reliability and Maintenance Optimization
Papers in
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- Natural Language Processing Techniques 6
- Topic Modeling 6
- Text Readability and Simplification 3
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- Probabilistic and Robust Engineering Design 3
- Co-authors
- Hwee Tou Ng (3 shared papers)Lechang Yang (6 shared papers)Preslav Nakov (2 shared papers)Rui Peng (1 shared paper)Michael Beer (1 shared paper)Sifeng Bi (1 shared paper)Jiaxin Chen (1 shared paper)Dan Wang (1 shared paper)
In The Last Decade
Pidong Wang
14 papers receiving 119 citations
Peers
Comparison fields: 5 of 37
- Statistics, Probability and Uncertainty 46
- Safety, Risk, Reliability and Quality 27
- Nuclear Energy and Engineering 1
- Artificial Intelligence 62
- Software 7
Countries citing papers authored by Pidong Wang
This map shows the geographic impact of Pidong 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 Pidong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pidong Wang more than expected).
Fields of papers citing papers by Pidong Wang
This network shows the impact of papers produced by Pidong 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 Pidong Wang. The network helps show where Pidong Wang may publish in the future.
Co-authors
The 23 scholars most cited alongside Pidong 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
| # | Work | ||
|---|---|---|---|
| 1 | A Beam-Search Decoder for Normalization of Social Media Text with Application to Machine Translation | 2013 | 29 |
| 2 | 2021 | 22 | |
| 3 | 2020 | 10 | |
| 4 | 2016 | 10 | |
| 5 | Source Language Adaptation for Resource-Poor Machine Translation | 2012 | 9 |
| 6 | 2016 | 9 | |
| 7 | 2016 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2018 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2015 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2022 | 2 | |
| 14 | Machine translation in mobile games: augmenting social media text normalization with incentivized feedback | 2015 | 2 |
| 15 | Reliability Analysis Method for Complex Mechanism System Based on Bayesian Network and Hybrid Uncertainty | 2014 | 0 |
About Pidong Wang
Pidong Wang is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Mechanical Engineering and Civil and Structural Engineering, having authored 15 papers that have together received 128 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Reliability and Maintenance Optimization (3 papers), Probabilistic and Robust Engineering Design (3 papers), Text Readability and Simplification (3 papers), Concrete Corrosion and Durability (2 papers), Fatigue and fracture mechanics (2 papers) and Structural Integrity and Reliability Analysis (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (46 citations), Safety, Risk, Reliability and Quality (27 citations), Nuclear Energy and Engineering (1 citation), Artificial Intelligence (62 citations) and Software (7 citations). Pidong Wang has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Hwee Tou Ng, Lechang Yang, Preslav Nakov, Rui Peng, Michael Beer, Sifeng Bi, Jiaxin Chen, Dan Wang, Lefei Li and Ling Li. Their work appears in journals such as Computational Linguistics, Quality and Reliability Engineering International, Applied Sciences, Reliability Engineering & System Safety and International Journal of Intelligent Systems.
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.