Panpan Wang
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Quantum Computing Algorithms and Architecture
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- Emotion and Mood Recognition
Papers in
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- Advanced Text Analysis Techniques 8
- Topic Modeling 7
- Sentiment Analysis and Opinion Mining 6
- Quantum Computing Algorithms and Architecture 2
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- Expert finding and Q&A systems 2
- Co-authors
- Yazhou Zhang (11 shared papers)Dawei Song (8 shared papers)Xiang Li (4 shared papers)Peng Zhang (3 shared papers)Lu Rong (2 shared papers)Jingfei Li (2 shared papers)Benyou Wang (1 shared paper)Qiuchi Li (1 shared paper)
- Journals
- Neurocomputing (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)Information Sciences (2 papers)Metrologia (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Panpan Wang
45 papers receiving 624 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 406
- Experimental and Cognitive Psychology 90
- Computer Vision and Pattern Recognition 58
- Information Systems 55
- Signal Processing 26
Countries citing papers authored by Panpan Wang
This map shows the geographic impact of Panpan 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 Panpan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panpan Wang more than expected).
Fields of papers citing papers by Panpan Wang
This network shows the impact of papers produced by Panpan 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 Panpan Wang. The network helps show where Panpan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Panpan 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 87 | |
| 2 | 2020 | 87 | |
| 3 | 2018 | 86 | |
| 4 | 2020 | 66 | |
| 5 | 2019 | 57 | |
| 6 | 2019 | 51 | |
| 7 | 2017 | 34 | |
| 8 | 2020 | 24 | |
| 9 | 2024 | 18 | |
| 10 | 2016 | 11 | |
| 11 | 2005 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2020 | 4 |
About Panpan Wang
Panpan Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 45 papers that have together received 641 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (8 papers), Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Frequency and Time Standards (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Expert finding and Q&A systems (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (406 citations), Experimental and Cognitive Psychology (90 citations), Computer Vision and Pattern Recognition (58 citations), Information Systems (55 citations) and Signal Processing (26 citations). Panpan Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yazhou Zhang, Dawei Song, Xiang Li, Peng Zhang, Lu Rong, Jingfei Li, Benyou Wang, Qiuchi Li, Peng Zhang and Mingzhe Han. Their work appears in journals such as Neurocomputing, Physica A Statistical Mechanics and its Applications, Information Sciences, Metrologia and Applied Intelligence.
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.