LinChih-Jen

632 total citations
10 papers, 518 citations indexed

About

LinChih-Jen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, LinChih-Jen has authored 10 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in LinChih-Jen's work include Neural Networks and Applications (9 papers), Face and Expression Recognition (3 papers) and Image and Signal Denoising Methods (1 paper). LinChih-Jen is often cited by papers focused on Neural Networks and Applications (9 papers), Face and Expression Recognition (3 papers) and Image and Signal Denoising Methods (1 paper). LinChih-Jen collaborates with scholars based in . LinChih-Jen's co-authors include and has published in prestigious journals such as Journal of Machine Learning Research and Applied Stochastic Models in Business and Industry.

In The Last Decade

LinChih-Jen

10 papers receiving 504 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
LinChih-Jen 7 287 191 71 60 37 10 518
Nandakishore Kambhatla United States 8 315 1.1× 224 1.2× 62 0.9× 86 1.4× 56 1.5× 12 703
Alexander G. Ororbia United States 12 314 1.1× 158 0.8× 94 1.3× 90 1.5× 40 1.1× 43 569
Dylan Anderson United States 4 267 0.9× 294 1.5× 41 0.6× 38 0.6× 31 0.8× 10 556
Chao-Kai Chiang United States 4 325 1.1× 190 1.0× 48 0.7× 49 0.8× 15 0.4× 6 564
Jishang Wei United States 12 215 0.7× 198 1.0× 26 0.4× 54 0.9× 17 0.5× 26 438
Chia-Hua Ho Taiwan 7 315 1.1× 180 0.9× 50 0.7× 35 0.6× 85 2.3× 8 572
Yunfeng Liu China 7 260 0.9× 126 0.7× 55 0.8× 54 0.9× 17 0.5× 24 681
Serhat S. Bucak United States 11 334 1.2× 399 2.1× 119 1.7× 67 1.1× 43 1.2× 17 674

Countries citing papers authored by LinChih-Jen

Since Specialization
Citations

This map shows the geographic impact of LinChih-Jen'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 LinChih-Jen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LinChih-Jen more than expected).

Fields of papers citing papers by LinChih-Jen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LinChih-Jen. 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 LinChih-Jen. The network helps show where LinChih-Jen may publish in the future.

No nodes

All Works

10 of 10 papers shown
1.
LinChih-Jen, et al.. (2014). Iteration complexity of feasible descent methods for convex optimization. Journal of Machine Learning Research. 1 indexed citations
2.
LinChih-Jen, et al.. (2012). An improved GLMNET for L1-regularized logistic regression. Journal of Machine Learning Research. 1 indexed citations
3.
LinChih-Jen, et al.. (2012). Large-scale linear support vector regression. Journal of Machine Learning Research. 6 indexed citations
4.
LinChih-Jen, et al.. (2010). Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. Journal of Machine Learning Research. 19 indexed citations
5.
LinChih-Jen, et al.. (2010). Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models. Journal of Machine Learning Research. 5 indexed citations
6.
LinChih-Jen, et al.. (2010). A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification. Journal of Machine Learning Research. 66 indexed citations
7.
LinChih-Jen, et al.. (2008). LIBLINEAR: A Library for Large Linear Classification. Journal of Machine Learning Research. 287 indexed citations
8.
LinChih-Jen, et al.. (2008). Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines. Journal of Machine Learning Research. 15 indexed citations
9.
LinChih-Jen, et al.. (2005). Working Set Selection Using Second Order Information for Training Support Vector Machines. Journal of Machine Learning Research. 32 indexed citations
10.
LinChih-Jen, et al.. (2005). A tutorial on -support vector machines. Applied Stochastic Models in Business and Industry. 86 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nandakishore Kambhatla Breakdown of academic impact, for papers by Alexander G. Ororbia Breakdown of academic impact, for papers by Dylan Anderson Breakdown of academic impact, for papers by Chao-Kai Chiang Breakdown of academic impact, for papers by Jishang Wei Breakdown of academic impact, for papers by Chia-Hua Ho Breakdown of academic impact, for papers by Yunfeng Liu Breakdown of academic impact, for papers by Serhat S. Bucak
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2026