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
-
- Domain Adaptation and Few-Shot Learning 4
- Text and Document Classification Technologies 3
- Sentiment Analysis and Opinion Mining 3
- Quantum Information and Cryptography 3
- Neural Networks and Applications 3
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- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 3
- Co-authors
- Julia A. Kalow (2 shared papers)Shumin Han (5 shared papers)Ying Xin (3 shared papers)Yunhao Wang (2 shared papers)Xiaokang Chen (1 shared paper)Shentong Mo (1 shared paper)Mingyu Ding (1 shared paper)Gang Zeng (1 shared paper)
- Journals
- Knowledge-Based Systems (2 papers)Computational Economics (2 papers)Expert Systems with Applications (1 paper)The Computer Journal (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaodi Wang
42 papers receiving 977 citations
Xiaodi Wang's Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Medicine 48
- Computer Vision and Pattern Recognition 199
- Artificial Intelligence 277
- Polymers and Plastics 104
- Biomaterials 52
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular Characterization of Polymer Networks Hit paper breakdown → | 2021 | 267 |
| 2 | Context Autoencoder for Self-supervised Representation Learning Hit paper breakdown → | 2023 | 220 |
| 3 | 2021 | 59 | |
| 4 | 2019 | 52 | |
| 5 | 2023 | 31 | |
| 6 | 2023 | 31 | |
| 7 | 2018 | 29 | |
| 8 | 2022 | 29 | |
| 9 | 2019 | 29 | |
| 10 | 2023 | 27 | |
| 11 | 2018 | 24 | |
| 12 | 1997 | 22 | |
| 13 | 2020 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2021 | 15 | |
| 17 | Identification of Consumer Adverse Drug Reaction Messages on Social Media. | 2013 | 14 |
| 18 | 2024 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2021 | 10 |
About Xiaodi Wang
Xiaodi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Management Science and Operations Research, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers), Text and Document Classification Technologies (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Video Surveillance and Tracking Methods (3 papers), Quantum Information and Cryptography (3 papers), Neural Networks and Applications (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Molecular Medicine (48 citations), Computer Vision and Pattern Recognition (199 citations), Artificial Intelligence (277 citations), Polymers and Plastics (104 citations) and Biomaterials (52 citations). Xiaodi Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Julia A. Kalow, Shumin Han, Ying Xin, Yunhao Wang, Xiaokang Chen, Shentong Mo, Mingyu Ding, Gang Zeng, Jingdong Wang and Ping Luo. Their work appears in journals such as Knowledge-Based Systems, Computational Economics, Expert Systems with Applications, The Computer Journal and IEEE Transactions on Neural Networks and Learning Systems.
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.