Y. H. Dai

3.0k total citations · 1 hit paper
17 papers, 2.2k citations indexed

About

Y. H. Dai is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Y. H. Dai has authored 17 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Numerical Analysis, 7 papers in Computational Theory and Mathematics and 5 papers in Computational Mechanics. Recurrent topics in Y. H. Dai's work include Advanced Optimization Algorithms Research (10 papers), Iterative Methods for Nonlinear Equations (6 papers) and Optimization and Variational Analysis (5 papers). Y. H. Dai is often cited by papers focused on Advanced Optimization Algorithms Research (10 papers), Iterative Methods for Nonlinear Equations (6 papers) and Optimization and Variational Analysis (5 papers). Y. H. Dai collaborates with scholars based in China, Hong Kong and India. Y. H. Dai's co-authors include Y. Yuan, Li‐Zhi Liao, Ye Yuan, Wenjun Liu, Yuan Xue, Xiaoqi Yang, Lei Chen, Chen-Yang Huang, Q. Q. Qian and Jing Chen and has published in prestigious journals such as Mathematics of Computation, Annals of Operations Research and SIAM Journal on Optimization.

In The Last Decade

Y. H. Dai

15 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property

1999 960 citations Y. H. Dai, Y. Yuan SIAM Journal on Optimization profile →

Peers

Countries citing papers authored by Y. H. Dai

Since Specialization

Citations

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

Fields of papers citing papers by Y. H. Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. H. Dai. 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 Y. H. Dai. The network helps show where Y. H. Dai may publish in the future.

Co-authorship network of co-authors of Y. H. Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Y. H. Dai. A scholar is included among the top collaborators of Y. H. Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Y. H. Dai. Y. H. Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	A cross-scale investigation on transient electrothermal performance for power MOSFETs at device-package level 2025 ·Microelectronics Journal ·Y. H. Dai, Jiafei Yao, Jing Chen, Maolin Zhang, Y. C. Xu, (unknown), Q. Q. Qian, Jun Zhang, Kemeng Yang, (unknown)	0
2	2D Nonlayered Materials for Transistor Application 2025 ·Advanced Physics Research ·Y. H. Dai, Yunhai Xiong, Farhan Jalees Ahmad, Xiang Chen	1
3	Solving elliptic optimal control problems via neural networks and optimality system 2025 ·Advances in Computational Mathematics ·Y. H. Dai, Bangti Jin, (unknown), Zhi Zhou	0
4	A Cross-Scale Electrothermal Co-Simulation Approach for Power MOSFETs at Device–Package–Heatsink–Board Levels 2024 ·Micromachines ·Y. H. Dai, Jiafei Yao, Jing Chen, Q. Q. Qian, Maolin Zhang, Jun Zhang, (unknown), Chen-Yang Huang, (unknown), (unknown)	1
5	Study on the stability mechanism of power system with large scale wind power integration 2015 ·International Conference on Renewable Power Generation (RPG 2015) ·Lei Chen, Y. H. Dai, (unknown), (unknown)	2
6	A Modified Self-Scaling Memoryless Broyden–Fletcher–Goldfarb–Shanno Method for Unconstrained Optimization 2014 ·Journal of Optimization Theory and Applications ·(unknown), Y. H. Dai	73
7	A sequential subspace projection method for extreme Z‐eigenvalues of supersymmetric tensors 2014 ·Numerical Linear Algebra with Applications ·(unknown), (unknown), Y. H. Dai	26
8	A New Gradient Method with an Optimal Stepsize Property 2006 ·Computational Optimization and Applications ·Y. H. Dai, Xiaoqi Yang	13
9	Alternate minimization gradient method 2003 ·IMA Journal of Numerical Analysis ·Y. H. Dai	73
10	R-linear convergence of the Barzilai and Borwein gradient method 2002 ·IMA Journal of Numerical Analysis ·Y. H. Dai	223
11	A nonmonotone conjugate gradient algorithm for unconstrained optimization 2002 ·Medical Entomology and Zoology ·Y. H. Dai	43
12	On the Nonmonotone Line Search 2002 ·Journal of Optimization Theory and Applications ·Y. H. Dai	136
13	Minimization Algorithms Based on Supervisor and Searcher Cooperation 2001 ·Journal of Optimization Theory and Applications ·Wenjun Liu, Y. H. Dai	23
14	An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimization 2001 ·Annals of Operations Research ·Y. H. Dai, Ye Yuan	179
15	New Conjugacy Conditions and Related Nonlinear Conjugate Gradient Methods 2001 ·Applied Mathematics & Optimization ·Y. H. Dai, Li‐Zhi Liao	388
16	A three-parameter family of nonlinear conjugate gradient methods 2000 ·Mathematics of Computation ·Y. H. Dai, Yuan Xue	20
17	A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property breakdown → 1999 ·SIAM Journal on Optimization ·Y. H. Dai, Y. Yuan	960

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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