Shuiwang Ji
Impact in
-
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Computational Mathematics top 2%
Papers in
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (13 papers)Bioinformatics (8 papers)BMC Bioinformatics (8 papers)IEEE Transactions on Medical Imaging (4 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Shuiwang Ji
131 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Computer Vision and Pattern Recognition 3.1k
- Computational Mathematics 72
- Artificial Intelligence 3.5k
- Structural Biology 146
- Biophysics 413
Countries citing papers authored by Shuiwang Ji
This map shows the geographic impact of Shuiwang Ji'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 Shuiwang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuiwang Ji more than expected).
Fields of papers citing papers by Shuiwang Ji
This network shows the impact of papers produced by Shuiwang Ji. 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 Shuiwang Ji. The network helps show where Shuiwang Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuiwang Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 14 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 2 | |
| 6 | StructPool: Structured Graph Pooling via Conditional Random Fields | 2020 | 64 |
| 7 | Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising | 2020 | 1 |
| 8 | Graph U-Nets | 2019 | 45 |
| 9 | 2018 | 16 | |
| 10 | 2013 | 11 | |
| 11 | 2013 | 22 | |
| 12 | 2012 | 15 | |
| 13 | Multi-Label Dimensionality Reduction (Chapman & Hall/CRC Machine Learning & Pattern Recognition) | 2011 | 5 |
| 14 | SLEP: Sparse Learning with Efficient Projections Hit paper breakdown → | 2011 | 441 |
| 15 | 2010 | 219 | |
| 16 | Linear dimensionality reduction for multi-label classification | 2009 | 66 |
| 17 | On the equivalence between canonical correlation analysis and orthonormalized partial least squares | 2009 | 49 |
| 18 | Multi-label Multiple Kernel Learning | 2008 | 36 |
| 19 | Multi-class Discriminant Kernel Learning via Convex Programming | 2008 | 68 |
| 20 | 2008 | 8 |
About Shuiwang Ji
Shuiwang Ji is a scholar working on Structural Biology, Computational Mathematics, Biophysics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 134 papers that have together received 7.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (24 papers), Advanced Graph Neural Networks (17 papers), Cell Image Analysis Techniques (17 papers), Gene expression and cancer classification (17 papers), Domain Adaptation and Few-Shot Learning (14 papers), Text and Document Classification Technologies (13 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Neural Network Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Computational Mathematics (72 citations), Artificial Intelligence (3.5k citations), Structural Biology (146 citations) and Biophysics (413 citations). Shuiwang Ji has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Jieping Ye, Dinggang Shen, Rongjian Li, Hongyang Gao, Zhengyang Wang, Wenlu Zhang, Jun Liu, Li Wang, Hao Yuan and Tao Zeng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Bioinformatics, BMC Bioinformatics, IEEE Transactions on Medical Imaging and IEEE Transactions on Knowledge and Data Engineering.
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.