2026 Shuiwang Ji: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	62	2824	2741	1397	1346	206	28576

Shuiwang Ji publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Shuiwang Ji sits on this spectrum.

32 publications 991+

This scientist: 206 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Shuiwang Ji D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Shuiwang Ji sits on this spectrum.

30 D-Index 131+

This scientist: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2020 - ACM Distinguished Member
2018 - ACM Senior Member

Overview

Shuiwang Ji is affiliated with Texas A&M University in the United States and specializes in computer science, with a primary focus on artificial intelligence and its applications. Their research encompasses a variety of interdisciplinary subfields including materials chemistry, computer vision and pattern recognition, molecular biology, and biophysics.

The scientist's work spans multiple topics prominently featuring advanced graph neural networks, machine learning in materials science, topic modeling, computational drug discovery methods, explainable artificial intelligence (XAI), domain adaptation and few-shot learning, and protein structure and dynamics.

Frequent collaborators of Shuiwang Ji include:

Yaochen Xie
Youzhi Luo
Zhengyang Wang
Shurui Gui
Meng Liu

Shuiwang Ji has contributed extensively to academic literature, publishing in several notable venues. The most frequent publication venues are:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence
Nature Methods
IEEE Transactions on Medical Imaging

Examples of recent papers include:

Explainability in Graph Neural Networks: A Taxonomic Survey, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Supervised Learning of Graph Neural Networks: A Unified Review, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
Line Graph Neural Networks for Link Prediction, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph U-Nets, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-Local U-Nets for Biomedical Image Segmentation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Shuiwang Ji has been recognized by the Association for Computing Machinery (ACM) with distinctions including:

ACM Distinguished Member, 2020
ACM Senior Member, 2018

The research profile of Shuiwang Ji reflects a blend of computational techniques applied to both theoretical and applied problems, particularly within machine learning and its intersection with scientific domains such as materials science and molecular biology.

Best Publications

3D Convolutional Neural Networks for Human Action Recognition

Shuiwang Ji;Wei Xu;Ming Yang;Kai Yu

12037
Citations
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

Wenlu Zhang;Rongjian Li;Houtao Deng;Li Wang

927
Citations
Multi-task feature learning via efficient l 2, 1 -norm minimization

Jun Liu;Shuiwang Ji;Jieping Ye

712
Citations
Large-Scale Learnable Graph Convolutional Networks

Hongyang Gao;Zhengyang Wang;Shuiwang Ji

606
Citations
Graph U-Nets.

Hongyang Gao;Shuiwang Ji

591
Citations
Deep learning based imaging data completion for improved brain disease diagnosis.

Rongjian Li;Wenlu Zhang;Heung Il Suk;Li Wang

554
Citations
An accelerated gradient method for trace norm minimization

Shuiwang Ji;Jieping Ye

545
Citations
SLEP: Sparse Learning with Efficient Projections

Jun Liu;Shuiwang Ji;Jieping Ye

544
Citations
Explainability in Graph Neural Networks: A Taxonomic Survey.

Hao Yuan;Haiyang Yu;Shurui Gui;Shuiwang Ji

476
Citations
Towards Deeper Graph Neural Networks

Meng Liu;Hongyang Gao;Shuiwang Ji

471
Citations
Partial Least Squares

Liang Sun;Shuiwang Ji;Jieping Ye

460
Citations
XGNN: Towards Model-Level Explanations of Graph Neural Networks

Hao Yuan;Jiliang Tang;Xia Hu;Shuiwang Ji

429
Citations
Feature Selection Based on Structured Sparsity: A Comprehensive Study

Jie Gui;Zhenan Sun;Shuiwang Ji;Dacheng Tao

344
Citations
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis

Liang Sun;Shuiwang Ji;Jieping Ye

339
Citations
Self-Supervised Learning of Graph Neural Networks: A Unified Review

Yaochen Xie;Zhao Xu;Zhengyang Wang;Shuiwang Ji

338
Citations
A Robust Deep Model for Improved Classification of AD/MCI Patients

Feng Li;Loc Tran;Kim-Han Thung;Shuiwang Ji

318
Citations
Discriminant sparse neighborhood preserving embedding for face recognition

Jie Gui;Zhenan Sun;Wei Jia;Rongxiang Hu

305
Citations
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis

Wenlu Zhang;Rongjian Li;Tao Zeng;Qian Sun

287
Citations
Hypergraph spectral learning for multi-label classification

Liang Sun;Shuiwang Ji;Jieping Ye

287
Citations
Extracting shared subspace for multi-label classification

Shuiwang Ji;Lei Tang;Shipeng Yu;Jieping Ye

242
Citations
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning

Ting Kei Pong;Paul Tseng;Shuiwang Ji;Jieping Ye

212
Citations
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization

Jun Liu;Shuiwang Ji;Jieping Ye

35
Citations

Frequent Co-Authors

Jieping Ye Alibaba Group (China)

Sudhir Kumar Temple University

Xia Hu Rice University

Dinggang Shen ShanghaiTech University

Zhi-Hua Zhou Nanjing University

Jiang Li Shanghai Jiao Tong University

Ian Davidson University of California, Davis

Jun Liu Infinia ML (United States)

Yao Zhao Beijing Jiaotong University

Zhenan Sun Chinese Academy of Sciences

External Links

Personal website of Shuiwang Ji Google Scholar page

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