Xiaodi Wang
Impact in
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
Papers in
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- Sentiment Analysis and Opinion Mining 3
- Text and Document Classification Technologies 3
- Domain Adaptation and Few-Shot Learning 3
- Neural Networks and Applications 3
- Advanced Text Analysis Techniques 3
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- Advanced Neural Network Applications 5
- Co-authors
- Julia A. Kalow (2 shared papers)Yunhao Wang (2 shared papers)Shumin Han (2 shared papers)Ying Xin (2 shared papers)Mingyu Ding (1 shared paper)Shentong Mo (1 shared paper)Jingdong Wang (1 shared paper)Xiaokang Chen (1 shared paper)
- Journals
- Knowledge-Based Systems (2 papers)Computational Economics (2 papers)Information Sciences (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)ISPRS International Journal of Geo-Information (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaodi Wang
35 papers receiving 762 citations
Xiaodi Wang's Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Medicine 42
- Computer Vision and Pattern Recognition 168
- Artificial Intelligence 231
- Polymers and Plastics 90
- Toxicology 12
Countries citing papers authored by Xiaodi Wang
This map shows the geographic impact of Xiaodi 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 Xiaodi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodi Wang more than expected).
Fields of papers citing papers by Xiaodi Wang
This network shows the impact of papers produced by Xiaodi 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 Xiaodi Wang. The network helps show where Xiaodi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodi 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular Characterization of Polymer Networks Hit paper breakdown → | 2021 | 231 |
| 2 | Context Autoencoder for Self-supervised Representation Learning Hit paper breakdown → | 2023 | 178 |
| 3 | 2021 | 52 | |
| 4 | 2018 | 29 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 23 | |
| 7 | 1997 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2019 | 21 | |
| 11 | 2023 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2021 | 16 | |
| 14 | Identification of Consumer Adverse Drug Reaction Messages on Social Media. | 2013 | 14 |
| 15 | 2023 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2020 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Xiaodi Wang
Xiaodi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Computer Networks and Communications, having authored 38 papers that have together received 795 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Text and Document Classification Technologies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Neural Networks and Applications (3 papers), Blockchain Technology Applications and Security (3 papers), Energy Load and Power Forecasting (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Molecular Medicine (42 citations), Computer Vision and Pattern Recognition (168 citations), Artificial Intelligence (231 citations), Polymers and Plastics (90 citations) and Toxicology (12 citations). Xiaodi Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Julia A. Kalow, Yunhao Wang, Shumin Han, Ying Xin, Mingyu Ding, Shentong Mo, Jingdong Wang, Xiaokang Chen, Gang Zeng and Ping Luo. Their work appears in journals such as Knowledge-Based Systems, Computational Economics, Information Sciences, IEEE Transactions on Neural Networks and Learning Systems and ISPRS International Journal of Geo-Information.
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.