Yinyu Ye

223 papers receiving 14.3k citations

Hit Papers

Linear and Nonlinear Programming 2015 · 337 citations
337199720262006201650010001.5k2.0k2.5k

Peers

Yinyu Ye
Comparison fields: 5 of 172
  • Numerical Analysis 3.8k
  • Computational Mathematics 206
  • Computational Theory and Mathematics 3.7k
  • Management Science and Operations Research 1.8k
  • Computational Mechanics 2.6k
Replace Lieven Vandenberghe with:
Lieven Vandenberghe United States
Arkadi Nemirovski United States
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Dimitri P. Bertsekas United States
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O. L. Mangasarian United States
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Citations per year

Countries citing papers authored by Yinyu Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yinyu Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yinyu Ye. 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 Yinyu Ye. The network helps show where Yinyu Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Yinyu Ye, 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 Yinyu Ye Line = papers co-authored together Yinyu Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20241
5 20240
6 20231
7 20212
8
Distributionally Robust Local Non-parametric Conditional Estimation
20202
9 201933
10
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
20192
11
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
201826
12
Strong NP-hardness for sparse optimization with concave penalty functions
20174
13
Learning to rank with combinatorial Hodge theory
20084
14 200639
15 200619
16
A Unified Theorem on Sdp Rank Reduction
20063
17 200539
18
A Multi-exchange Local Search Algorithm for the Capacitated Facility Location Problem: (Extended Abstract).
20041
19
On Smoothing Methods For The P_0 Matrix Linear Complementarity Problem
19972
20 19903

About Yinyu Ye

Yinyu Ye is a scholar working on Numerical Analysis, Computational Mathematics, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Management Science and Operations Research, having authored 233 papers that have together received 15.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (100 papers), Sparse and Compressive Sensing Techniques (48 papers), Complexity and Algorithms in Graphs (34 papers), Matrix Theory and Algorithms (33 papers), Optimization and Variational Analysis (19 papers), Optimization and Search Problems (19 papers), Polynomial and algebraic computation (18 papers) and Risk and Portfolio Optimization (17 papers). The work is most often cited by research in Numerical Analysis (3.8k citations), Computational Mathematics (206 citations), Computational Theory and Mathematics (3.7k citations), Management Science and Operations Research (1.8k citations) and Computational Mechanics (2.6k citations). Yinyu Ye has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David G. Luenberger, Anthony Man–Cho So, Erick Delage, Shuzhong Zhang, Zhi‐Quan Luo, Wing‐Kin Ma, Pratik K. Biswas, Michael J. Todd, Zizhuo Wang and Jiawei Zhang. Their work appears in journals such as Mathematical Programming, Mathematics of Operations Research, SIAM Journal on Optimization, Operations Research and Operations Research Letters.

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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