Pinzhen Chen
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
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- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Natural Language Processing Techniques 15
- Topic Modeling 11
- Text Readability and Simplification 3
- Semantic Web and Ontologies 2
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- Advanced Sensor and Energy Harvesting Materials 6
- Co-authors
- Qiongfeng Shi (6 shared papers)Shengshun Duan (5 shared papers)Jun Wu (4 shared papers)Kenneth Heafield (2 shared papers)Shengxin Xiang (3 shared papers)Jianlong Hong (3 shared papers)Guozhen Shen (2 shared papers)Barry Haddow (6 shared papers)
- Journals
- Science Advances (1 paper)Advanced Science (1 paper)European Radiology (1 paper)Advanced Materials (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- United KingdomChinaBangladesh
In The Last Decade
Pinzhen Chen
21 papers receiving 247 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 97
- Biomedical Engineering 109
- Polymers and Plastics 31
- Human-Computer Interaction 8
- Cognitive Neuroscience 24
Countries citing papers authored by Pinzhen Chen
This map shows the geographic impact of Pinzhen Chen'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 Pinzhen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinzhen Chen more than expected).
Fields of papers citing papers by Pinzhen Chen
This network shows the impact of papers produced by Pinzhen Chen. 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 Pinzhen Chen. The network helps show where Pinzhen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinzhen Chen, 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 | 2020 | 72 | |
| 2 | 2024 | 55 | |
| 3 | 2023 | 36 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 16 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2025 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Pinzhen Chen
Pinzhen Chen is a scholar working on Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 27 papers that have together received 255 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (11 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Text Readability and Simplification (3 papers), Conducting polymers and applications (2 papers), Semantic Web and Ontologies (2 papers), Advanced Memory and Neural Computing (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Artificial Intelligence (97 citations), Biomedical Engineering (109 citations), Polymers and Plastics (31 citations), Human-Computer Interaction (8 citations) and Cognitive Neuroscience (24 citations). Pinzhen Chen has collaborated with scholars based in United Kingdom, China and Bangladesh. Frequent co-authors include Qiongfeng Shi, Shengshun Duan, Jun Wu, Kenneth Heafield, Shengxin Xiang, Jianlong Hong, Guozhen Shen, Barry Haddow, Amir Kamran and William Waites. Their work appears in journals such as Science Advances, Advanced Science, European Radiology, Advanced Materials and Frontiers in Endocrinology.
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.