Shuiwang Ji

14.1k citations
146 papers · 8.4k · 6 hit papers · h-index 45

Impact in

Papers in

Shuiwang Ji

141 papers receiving 8.2k citations

Shuiwang Ji's Hit Papers

Explainability in Graph Neural Networks: A Taxonomic Survey 2022 · 344 citations
3440+5+11Years since publication200400600

Peers

Shuiwang Ji
Comparison fields: 5 of 177
  • Computer Vision and Pattern Recognition 3.4k
  • Computational Mathematics 79
  • Artificial Intelligence 3.9k
  • Structural Biology 159
  • Biophysics 441
Replace Xavier Glorot with:
Xavier Glorot Canada
Soumith Chintala United States
Diederik P. Kingma United States
Isabelle Bloch France
J. S. Denker United States
Vladimir Kolmogorov United Kingdom
Weidong Cai Australia
A.C. Kak United States
Pierre-Antoine Manzagol Canada
Fuhui Long United States
Shuiwang Ji relative to Xavier Glorot Canada Xavier Glorot's profile →
Citations per field
00.5×8.8×
Xavier Glorot · 1×
Citations per year

Countries citing papers authored by Shuiwang Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Shuiwang Ji Line = papers co-authored together Shuiwang Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
Hit paper breakdown →
2015661
2
SLEP: Sparse Learning with Efficient Projections
Hit paper breakdown →
2011483
3
An accelerated gradient method for trace norm minimization
Hit paper breakdown →
2009402
4 2014374
5
Explainability in Graph Neural Networks: A Taxonomic Survey
Hit paper breakdown →
2022344
6
Feature Selection Based on Structured Sparsity: A Comprehensive Study
Hit paper breakdown →
2016280
7
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Hit paper breakdown →
2022243
8 2010236
9 2015225
10 2012211
11 2008201
12 2021176
13 2008174
14 2021171
15 2010155
16 2008149
17 2010146
18 2020140
19 2012111
20 2018111

About Shuiwang Ji

Shuiwang Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Media Technology and Biophysics, having authored 146 papers that have together received 8.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (25 papers), Advanced Graph Neural Networks (19 papers), Domain Adaptation and Few-Shot Learning (15 papers), Gene expression and cancer classification (14 papers), Text and Document Classification Technologies (13 papers), Advanced Neural Network Applications (11 papers), Cell Image Analysis Techniques (11 papers) and Topic Modeling (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Computational Mathematics (79 citations), Artificial Intelligence (3.9k citations), Structural Biology (159 citations) and Biophysics (441 citations). Shuiwang Ji has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jieping Ye, Dinggang Shen, Hongyang Gao, Rongjian Li, 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 Knowledge and Data Engineering and IEEE Transactions on Medical Imaging.

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.

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