2026 Tsuhan Chen: 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	77	1255	1214	668	642	450	26610

Overview

Tsuhan Chen is affiliated with Cornell University in the United States, with a research profile spanning computer science and medicine. Their work focuses on interdisciplinary applications of artificial intelligence, health-related studies, and social impacts of technology. Chen's research contributions are distributed across several fields and subfields, reflecting a diverse academic presence.

The main fields of study for Chen include:

Computer Science
Medicine

Within these areas, Chen has specialized in subfields such as:

Artificial Intelligence
Computer Vision and Pattern Recognition
Sociology and Political Science
Pulmonary and Respiratory Medicine
Epidemiology

Chen's research topics cover both technical and societal dimensions, with particular attention to:

Anomaly Detection Techniques and Applications
Misinformation and Its Impacts
Media Influence and Politics
Hate Speech and Cyberbullying Detection
Chronic Obstructive Pulmonary Disease (COPD) Research
Genetic Associations and Epidemiology
Liver Disease Diagnosis and Treatment

Chen has produced multiple recent publications across a variety of reputable venues. Selected papers include:

"Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy," 2024, published in Digital Government Research and Practice
"Mendelian randomisation studies for causal inference in chronic obstructive pulmonary disease: A narrative review," 2025, published in Pulmonology
"Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside," 2023, published in Annals of the Academy of Medicine Singapore
"Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee," 2023, published in IEEE Signal Processing Magazine
"MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift," 2024, published in Proceedings of the AAAI Conference on Artificial Intelligence

Chen frequently collaborates with other researchers, notably with:

Dexter Neo
Simon Chesterman
Stefan Winkler
Lv Zhou
Ling Huang

The primary venues in which Chen's work appears include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Digital Government Research and Practice
Pulmonology
Annals of the Academy of Medicine Singapore

Best Publications

Recent advances in convolutional neural networks

Jiuxiang Gu;Zhenhua Wang;Jason Kuen;Lianyang Ma

6501
Citations
iCoseg: Interactive co-segmentation with intelligent scribble guidance

Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo

597
Citations
Efficient feature extraction for 2D/3D objects in mesh representation

Cha Zhang;Tsuhan Chen

562
Citations
The painful face - Pain expression recognition using active appearance models

Ahmed Bilal Ashraf;Simon Lucey;Jeffrey F. Cohn;Tsuhan Chen

534
Citations
Understanding images of groups of people

Andrew C Gallagher;Tsuhan Chen

456
Citations
Audio-visual integration in multimodal communication

Tsuhan Chen;R.R. Rao

439
Citations
Video-based face recognition using adaptive hidden Markov models

Xiaoming Liu;Tsuhan Cheng

425
Citations
Multiview Imaging and 3DTV

Akira Kubota;Aljoscha Smolic;Marcus Magnor;Masayuki Tanimoto

420
Citations
Image retrieval with geometry-preserving visual phrases

Yimeng Zhang;Zhaoyin Jia;Tsuhan Chen

398
Citations
Aesthetic Visual Quality Assessment of Paintings

Congcong Li;Tsuhan Chen

376
Citations
Audio Feature Extraction and Analysis for Scene Segmentation and Classification

Zhu Liu;Yao Wang;Tsuhan Chen

373
Citations
Audiovisual speech processing

Tsuhan Chen

368
Citations
Clothing cosegmentation for recognizing people

A.C. Gallagher;Tsuhan Chen

346
Citations
Towards computational models of kinship verification

Ruogu Fang;Kevin D. Tang;Noah Snavely;Tsuhan Chen

333
Citations
A survey on image-based rendering—representation, sampling and compression

Cha Zhang;Tsuhan Chen

309
Citations
An active learning framework for content-based information retrieval

Cha Zhang;Tsuhan Chen

308
Citations
Biometrics-based cryptographic key generation

Yao-Jen Chang;Wende Zhang;Tsuhan Chen

265
Citations
A mixed bag of emotions: Model, predict, and transfer emotion distributions

Kuan-Chuan Peng;Tsuhan Chen;Amir Sadovnik;Andrew Gallagher

246
Citations
Recent Advances in Convolutional Neural Networks

Jiuxiang Gu;Zhenhua Wang;Jason Kuen;Lianyang Ma

226
Citations
Stack-captioning: coarse-to-fine learning for image captioning

Jiuxiang Gu;Jianfei Cai;Gang Wang;Tsuhan Chen

206
Citations
Video conference system and method of providing parallax correction and a sense of presence

Russell Lennart Andersson;Tsuhan Chen;Barin Geoffry Haskell

203
Citations
Pose invariant face recognition

Fu Jie Huang;Zhihua Zhou;Hong-Jiang Zhang;Tsuhan Chen

200
Citations

Frequent Co-Authors

Andrew C. Gallagher Google (United States)

Devi Parikh Facebook (United States)

Cha Zhang Microsoft (United States)

Toshihiko Yamasaki University of Tokyo

Simon Lucey University of Adelaide

Dhruv Batra Georgia Institute of Technology

Xiaoming Liu University of North Carolina at Chapel Hill

Jiebo Luo University of Rochester

Ashutosh Saxena Cornell University

Rob A. Rutenbar University of Pittsburgh

External Links

Wikipedia of Tsuhan Chen Google Scholar page

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