2026 Chih-Jen Lin: 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	66	2245	2178	13	13	158	108954

Research.com Recognitions

2025 - Research.com Computer Science in Taiwan Leader Award
2022 - Research.com Computer Science in Taiwan Leader Award

Overview

Chih-Jen Lin is affiliated with National Taiwan University in Taiwan. Their research primarily spans the fields of Computer Science and Engineering, with a strong emphasis on Artificial Intelligence and related subfields such as Computational Mechanics, Computer Vision and Pattern Recognition, Civil and Structural Engineering, and Numerical Analysis.

Their recent publications include:

"Parameter Selection for Linear Support Vector Regression," 2020, IEEE Transactions on Neural Networks and Learning Systems
"One-Class SVM Probabilistic Outputs," 2024, IEEE Transactions on Neural Networks and Learning Systems
"A Study on Truncated Newton Methods for Linear Classification," 2021, IEEE Transactions on Neural Networks and Learning Systems
"Practical Counterfactual Policy Learning for Top-K Recommendations," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
"Newton Methods for Convolutional Neural Networks," 2020, ACM Transactions on Intelligent Systems and Technology

Frequent publication venues for Chih-Jen Lin include:

arXiv (Cornell University)
IEEE Transactions on Neural Networks and Learning Systems
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
ACM Transactions on Intelligent Systems and Technology
Proceedings of the AAAI Conference on Artificial Intelligence

The scientist often collaborates with other researchers in their field, with frequent coauthors being Jie-Jyun Liu, Pin-Yen Lin, Jui-Nan Yen, Li-Chung Lin, and Cheng-Hung Liu.

The main topics covered in their work include:

Sparse and Compressive Sensing Techniques
Text and Document Classification Technologies
Stochastic Gradient Optimization Techniques
Anomaly Detection Techniques and Applications
Water Systems and Optimization
Machine Learning and ELM
Face and Expression Recognition

Best Publications

LIBSVM: A library for support vector machines

Chih-Chung Chang;Chih-Jen Lin

48384
Citations
A comparison of methods for multiclass support vector machines

Chih-Wei Hsu;Chih-Jen Lin

10408
Citations
LIBLINEAR: A Library for Large Linear Classification

Rong-En Fan;Kai-Wei Chang;Cho-Jui Hsieh;Xiang-Rui Wang

9525
Citations
A Practical Guide to Support Vector Classication

Chih-Wei Hsu;Chih-Chung Chang;Chih-Jen Lin

8504
Citations
Probability Estimates for Multi-class Classification by Pairwise Coupling

Ting-Fan Wu;Chih-Jen Lin;Ruby C. Weng

2476
Citations
Asymptotic behaviors of support vector machines with Gaussian kernel

S. Sathiya Keerthi;Chih-Jen Lin

2379
Citations
Working Set Selection Using Second Order Information for Training Support Vector Machines

Rong-En Fan;Pai-Hsuen Chen;Chih-Jen Lin

2284
Citations
Projected Gradient Methods for Nonnegative Matrix Factorization

Chih-Jen Lin

2258
Citations
Combining SVMs with Various Feature Selection Strategies

Yi-Wei Chen;Chih-Jen Lin

1245
Citations
Load forecasting using support vector Machines: a study on EUNITE competition 2001

Bo-Juen Chen;Ming-Wei Chang;Chih-Jen lin

1192
Citations
A dual coordinate descent method for large-scale linear SVM

Cho-Jui Hsieh;Kai-Wei Chang;Chih-Jen Lin;S. Sathiya Keerthi

1187
Citations
Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions

Chin-Sheng Yu;Chih-Jen Lin;Jenn-Kang Hwang

1144
Citations
A note on Platt's probabilistic outputs for support vector machines

Hsuan-Tien Lin;Chih-Jen Lin;Ruby C. Weng

1122
Citations
Parallel Spectral Clustering in Distributed Systems

Wen-Yen Chen;Yangqiu Song;Hongjie Bai;Chih-Jen Lin

826
Citations
Field-aware Factorization Machines for CTR Prediction

Yuchin Juan;Yong Zhuang;Wei-Sheng Chin;Chih-Jen Lin

760
Citations
Training ν -Support Vector Classifiers: Theory and Algorithms

Chih-Chung Chang;Chih-Jen Lin

687
Citations
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

Yin-Wen Chang;Cho-Jui Hsieh;Kai-Wei Chang;Michael Ringgaard

646
Citations
A Comparison of Methods for Multi-class Support Vector Machines

Chih-Wei Hsu;Chih-Jen Lin

641
Citations
A tutorial on ν‐support vector machines

Pai-Hsuen Chen;Chih-Jen Lin;Bernhard Schölkopf

606
Citations
On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization

Chih-Jen Lin

575
Citations

Frequent Co-Authors

Cho-Jui Hsieh University of California, Los Angeles

Kai-Wei Chang University of California, Los Angeles

Shu-Cherng Fang North Carolina State University

Ming-Wei Chang Google (United States)

Miguel Ramalho-Santos University of Toronto

Xiangzhong Yang University of Connecticut

Yangqiu Song Hong Kong University of Science and Technology

Jorge J. Moré Argonne National Laboratory

Jifeng Zhang University of Michigan–Ann Arbor

Chee Wee Liu National Taiwan University

External Links

Wikipedia of Chih-Jen Lin Personal website of Chih-Jen Lin Google Scholar page

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