P-C Tseng

15 papers receiving 2.4k citations

P-C Tseng's Hit Papers

Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization 2001 · 1.4k citations
1.4k0+8+16Years since publication4008001.2k

Peers

P-C Tseng
Comparison fields: 5 of 123
  • Computational Mathematics 60
  • Numerical Analysis 373
  • Computational Mechanics 777
  • Statistics and Probability 271
  • Computer Vision and Pattern Recognition 627
Replace Zhaosong Lu with:
Zhaosong Lu Canada
Sangwoon Yun South Korea
Meisam Razaviyayn United States
Ming‐Jun Lai United States
Stephen A. Vavasis United States
Michael C. Grant United States
Lev M. Bregman Russia
B. K. Natarajan United States
Daniel Gabay France
Shiqian Ma United States
P-C Tseng relative to Zhaosong Lu Canada Zhaosong Lu's profile →
Citations per field
00.5×1.7×
Zhaosong Lu · 1×
Citations per year

Countries citing papers authored by P-C Tseng

Since Specialization
Citations

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

Fields of papers citing papers by P-C Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P-C Tseng. 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 P-C Tseng. The network helps show where P-C Tseng may publish in the future.

Co-authors

The 10 scholars most cited alongside P-C Tseng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P-C Tseng Line = papers co-authored together P-C Tseng links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
Hit paper breakdown →
20011435
2 1992388
3 2001189
4 2000145
5 1996107
6 200887
7 199047
8 200324
9 199218
10 199115
11 200615
12 199110
13 200210
14 19952
15 20231

About P-C Tseng

P-C Tseng is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Computer Graphics and Computer-Aided Design and Orthodontics, having authored 15 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Sparse and Compressive Sensing Techniques (7 papers), Optimization and Variational Analysis (5 papers), Stochastic Gradient Optimization Techniques (2 papers), Matrix Theory and Algorithms (2 papers), Dental materials and restorations (1 paper), graph theory and CDMA systems (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computational Mathematics (60 citations), Numerical Analysis (373 citations), Computational Mechanics (777 citations), Statistics and Probability (271 citations) and Computer Vision and Pattern Recognition (627 citations). P-C Tseng has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Z.-Q. Luo, Sylvain Sardy, A. Gregory Bruce, Sangwoon Yun, Dimitri P. Bertsekas, John N. Tsitsiklis, Francis Tin‐Loi, Asuman Ozdaglar, Francesca Guerriero and Dalia Kaisarly. Their work appears in journals such as Journal of Optimization Theory and Applications, SIAM Journal on Control and Optimization, Computer Methods in Applied Mechanics and Engineering, Dental Materials and IEEE Transactions on Signal Processing.

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.

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