Yu Wan
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
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- Multimodal Machine Learning Applications
Papers in
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- Advanced Battery Materials and Technologies 3
- Advanced Memory and Neural Computing 3
- Advancements in Battery Materials 3
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- Topic Modeling 5
- Natural Language Processing Techniques 4
- Co-authors
- Derek F. Wong (6 shared papers)Baosong Yang (6 shared papers)Lidia S. Chao (5 shared papers)Boxing Chen (4 shared papers)Haibo Zhang (2 shared papers)Dayiheng Liu (3 shared papers)Youlan Zou (3 shared papers)Fuhua Sun (2 shared papers)
- Journals
- Computational Linguistics (2 papers)Sustainability (2 papers)Physics of Fluids (2 papers)Small (2 papers)Materials Advances (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yu Wan
29 papers receiving 207 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 103
- Computer Vision and Pattern Recognition 28
- Automotive Engineering 10
- Electrical and Electronic Engineering 48
- Software 3
Countries citing papers authored by Yu Wan
This map shows the geographic impact of Yu Wan'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 Yu Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wan more than expected).
Fields of papers citing papers by Yu Wan
This network shows the impact of papers produced by Yu Wan. 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 Yu Wan. The network helps show where Yu Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Wan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2022 | 30 | |
| 3 | 2022 | 15 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 10 | |
| 7 | 2025 | 9 | |
| 8 | Analysis of vegetation trend and their causes during recent 30 years in Inner Mongolia Autonomous Region | 2012 | 9 |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Yu Wan
Yu Wan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Ocean Engineering, Materials Chemistry and Global and Planetary Change, having authored 32 papers that have together received 214 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Land Use and Ecosystem Services (3 papers), Advanced Battery Materials and Technologies (3 papers), Advanced Memory and Neural Computing (3 papers), Advancements in Battery Materials (3 papers), Geophysical and Geoelectrical Methods (2 papers) and Petroleum Processing and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (103 citations), Computer Vision and Pattern Recognition (28 citations), Automotive Engineering (10 citations), Electrical and Electronic Engineering (48 citations) and Software (3 citations). Yu Wan has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Derek F. Wong, Baosong Yang, Lidia S. Chao, Boxing Chen, Haibo Zhang, Dayiheng Liu, Youlan Zou, Fuhua Sun, Juqin Shen and Rong Xiao. Their work appears in journals such as Computational Linguistics, Sustainability, Physics of Fluids, Small and Materials Advances.
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.