Yijiang Chen
Physics and Astronomy · Indiana University
Publications
143
Citations
1,361
Est. group size
—
Recurring co-author estimate
Active years
40
Publishing since 1987
This researcher works across computational and machine-learning approaches applied to several domains, most prominently the analysis of medical images—such as kidney pathology and cancer prognosis—using deep learning. Other recent work spans speech separation with microphone arrays, emotion recognition from brain signals, and natural language understanding of visual metaphors. The record reflects a broad, application-driven use of artificial intelligence and signal-processing methods.
Publication activity grew steadily from 2018 onward, peaking around 2024, and has remained active in recent years (about 10 papers per year over the last five years).
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Typically publishes in teams of ~8 · 11% small-team papers (≤3 authors) · across 40 venues
- Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers
Journal of Clinical Oncology · 2025
- Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images.
PubMed · 2025
- Clinical Relevance of Computationally Derived Attributes of Arteries and Arterioles in focal segmental glomerulosclerosis and minimal change disease
medRxiv · 2025
- Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis
Kidney International · 2025
- Counterfactual Bidirectional Co-Attention Transformer for Integrative Histology-Genomic Cancer Risk Stratification
IEEE Journal of Biomedical and Health Informatics · 2025
- Pancancer outcome prediction via a unified weakly supervised deep learning model
Signal Transduction and Targeted Therapy · 2025
- Can multimodal large language models understand visual metaphors? An evaluation of MLLM’s multi-perspective understanding capabilities for visual metaphors
Expert Systems with Applications · 2025
- Co-Attention Based Multi-Channel TF-GridNet for Speech Separation with Ad-Hoc Microphone Arrays
2025
- Hierarchical feature distillation model via dual-stage projections and graph embedding label propagation for emotion recognition
Pattern Recognition · 2025
- Edge-collaborative multi-channel speaker verification via spatial-temporal graph with ad-hoc microphone arrays
Vicinagearth. · 2025
- Computational Characterization of Arteries/Arterioles in FSGS/Minimal Change Disease
Journal of the American Society of Nephrology · 2024
- Mesoscopic structure graphs for interpreting uncertainty in non-linear embeddings
Computers in Biology and Medicine · 2024
- Computationally Derived Characterization of Tubular Changes in Relation to the Development of Interstitial Fibrosis
Journal of the American Society of Nephrology · 2024
- Glomerular and Nephron Size and Kidney Disease Outcomes: A Comparison of Manual Versus Deep Learning Methods in Kidney Pathology
Kidney Medicine · 2024
- CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
npj Imaging · 2024
- Journal of the American Society of Nephrology×12
- arXiv (Cornell University)×7
- Neurocomputing×4
- medRxiv×4
- Kidney International×2
- D. P. Tewari
Physics and Astronomy · Purdue University West Lafayette
- Wenjie Wan
Physics and Astronomy · University of Michigan
- Almantas Galvanauskas
Physics and Astronomy · University of Michigan
- Bowen Li
Physics and Astronomy · Purdue University West Lafayette
- Andrew M. Weiner
Physics and Astronomy · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 27, 2026.
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