Wei Peng
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Geochemistry and Petrology top 10%
Papers in
-
- Topic Modeling 30
- Natural Language Processing Techniques 21
- Speech and dialogue systems 8
- Sentiment Analysis and Opinion Mining 7
-
- Multimodal Machine Learning Applications 8
- Co-authors
- Alicia Parrish (2 shared papers)Anhad Mohananey (2 shared papers)Samuel R. Bowman (2 shared papers)Sheng‐Fu Wang (2 shared papers)Haokun Liu (2 shared papers)Wenzhou Yu (9 shared papers)Weiyan Jiang (6 shared papers)Jiangyan Wang (5 shared papers)
- Journals
- Journal of Sustainable Metallurgy (3 papers)Knowledge-Based Systems (2 papers)Materials Today Chemistry (1 paper)Journal of Materials Research and Technology (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Peng
65 papers receiving 668 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 350
- Geochemistry and Petrology 46
- Building and Construction 47
- Computer Vision and Pattern Recognition 69
- Experimental and Cognitive Psychology 29
Countries citing papers authored by Wei Peng
This map shows the geographic impact of Wei Peng'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 Wei Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Peng more than expected).
Fields of papers citing papers by Wei Peng
This network shows the impact of papers produced by Wei Peng. 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 Wei Peng. The network helps show where Wei Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Peng, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 158 | |
| 2 | 2019 | 50 | |
| 3 | 2022 | 39 | |
| 4 | 2024 | 24 | |
| 5 | 2022 | 24 | |
| 6 | 2023 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2010 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2019 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 8 |
About Wei Peng
Wei Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Materials Chemistry, Building and Construction and Mechanical Engineering, having authored 72 papers that have together received 683 indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Natural Language Processing Techniques (21 papers), Speech and dialogue systems (8 papers), Multimodal Machine Learning Applications (8 papers), Recycling and utilization of industrial and municipal waste in materials production (7 papers), Sentiment Analysis and Opinion Mining (7 papers), Coal and Its By-products (6 papers) and Nuclear materials and radiation effects (4 papers). The work is most often cited by research in Artificial Intelligence (350 citations), Geochemistry and Petrology (46 citations), Building and Construction (47 citations), Computer Vision and Pattern Recognition (69 citations) and Experimental and Cognitive Psychology (29 citations). Wei Peng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Alicia Parrish, Anhad Mohananey, Samuel R. Bowman, Sheng‐Fu Wang, Haokun Liu, Wenzhou Yu, Weiyan Jiang, Jiangyan Wang, Yue Hu and Dan Wang. Their work appears in journals such as Journal of Sustainable Metallurgy, Knowledge-Based Systems, Materials Today Chemistry, Journal of Materials Research and Technology and Neurocomputing.
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.