Yu‐Hong Dai

5.5k total citations · 1 hit paper
129 papers, 3.3k citations indexed

About

Yu‐Hong Dai is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Yu‐Hong Dai has authored 129 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Numerical Analysis, 55 papers in Computational Mechanics and 48 papers in Computational Theory and Mathematics. Recurrent topics in Yu‐Hong Dai's work include Advanced Optimization Algorithms Research (67 papers), Sparse and Compressive Sensing Techniques (49 papers) and Optimization and Variational Analysis (25 papers). Yu‐Hong Dai is often cited by papers focused on Advanced Optimization Algorithms Research (67 papers), Sparse and Compressive Sensing Techniques (49 papers) and Optimization and Variational Analysis (25 papers). Yu‐Hong Dai collaborates with scholars based in China, United States and Hong Kong. Yu‐Hong Dai's co-authors include R. Fletcher, Ya‐Feng Liu, Zhi‐Quan Luo, Caixia Kou, Ya-xiang Yuan, Hongchao Zhang, Li Gao, Bin Zhou, Xinwei Liu and Chunfeng Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and European Journal of Operational Research.

In The Last Decade

Yu‐Hong Dai

119 papers receiving 3.1k citations

Hit Papers

A Nonlinear Conjugate Gradient Algorithm with an Optimal ... 2013 2026 2017 2021 2013 50 100 150 200
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.

  1. A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
    2013 236 citations Yu‐Hong Dai et al. SIAM Journal on Optimization profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Hong Dai China 29 1.6k 1.2k 1.1k 656 468 129 3.3k
Ya-xiang Yuan China 28 2.1k 1.4× 1.2k 1.0× 1.5k 1.4× 341 0.5× 154 0.3× 89 3.8k
Kyle A. Gallivan United States 32 776 0.5× 631 0.5× 713 0.7× 571 0.9× 793 1.7× 147 3.5k
Jonathan Eckstein United States 22 1.4k 0.9× 1.4k 1.2× 1.5k 1.3× 191 0.3× 271 0.6× 58 3.5k
Shiqian Ma United States 27 567 0.4× 1.9k 1.5× 459 0.4× 313 0.5× 191 0.4× 100 3.2k
Renato D. C. Monteiro United States 32 2.8k 1.8× 1.6k 1.3× 2.5k 2.3× 235 0.4× 213 0.5× 107 4.2k
Yu. Nesterov Belgium 21 1.4k 0.9× 2.1k 1.7× 1.0k 1.0× 205 0.3× 281 0.6× 35 4.1k
Zaiwen Wen China 23 579 0.4× 1.5k 1.2× 491 0.5× 256 0.4× 195 0.4× 84 2.9k
Xiaoming Yuan China 38 1.8k 1.2× 3.8k 3.1× 1.6k 1.5× 690 1.1× 299 0.6× 156 6.2k
Adrian S. Lewis United States 40 2.3k 1.5× 1.9k 1.5× 2.7k 2.5× 358 0.5× 325 0.7× 132 6.0k
Samuel Burer United States 26 1.3k 0.8× 702 0.6× 1.2k 1.1× 388 0.6× 314 0.7× 60 2.8k

Countries citing papers authored by Yu‐Hong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Hong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Hong 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 Yu‐Hong Dai. The network helps show where Yu‐Hong Dai may publish in the future.

Co-authorship network of co-authors of Yu‐Hong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hong Dai. A scholar is included among the top collaborators of Yu‐Hong 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 Yu‐Hong Dai. Yu‐Hong Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Wei‐Kun, Ya‐Feng Liu, Yu‐Hong Dai, & Zhi‐Quan Luo. (2025). QoS-Aware and Routing-Flexible Network Slicing for Service-Oriented Networks. IEEE Transactions on Network and Service Management. 22(6). 6021–6036. 1 indexed citations
2.
Chen, Wei‐Kun, et al.. (2024). A cut-and-solve algorithm for virtual machine consolidation problem. Future Generation Computer Systems. 154. 359–372. 2 indexed citations
3.
Wang, Shengchao, et al.. (2024). Enhancing cut selection through reinforcement learning. Science China Mathematics. 67(6). 1377–1394.
4.
Chen, Liang, et al.. (2023). Efficient presolving methods for solving maximal covering and partial set covering location problems. European Journal of Operational Research. 311(1). 73–87. 7 indexed citations
5.
Xu, Liang, Xinyi Yang, Xiuyuan Zhang, et al.. (2023). Development and validation of a contrast-enhanced CT-based radiomics nomogram for preoperative diagnosis in neuroendocrine carcinoma of digestive system. Frontiers in Endocrinology. 14. 1155307–1155307. 1 indexed citations
6.
Xu, Fengmin, et al.. (2023). Robust enhanced indexation optimization with sparse industry layout constraint. Computers & Operations Research. 161. 106420–106420.
7.
Zhang, Ruijin, Xinwei Liu, & Yu‐Hong Dai. (2023). IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming. Journal of Global Optimization. 87(2-4). 1027–1053. 3 indexed citations
8.
Chen, Wei‐Kun, Ya‐Feng Liu, Fan Liu, Yu‐Hong Dai, & Zhi‐Quan Luo. (2023). Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach. IEEE Transactions on Signal Processing. 71. 615–630. 7 indexed citations
9.
Chen, Wei‐Kun, Ya‐Feng Liu, Antonio De Domenico, Zhi‐Quan Luo, & Yu‐Hong Dai. (2021). Optimal Network Slicing for Service-Oriented Networks With Flexible Routing and Guaranteed E2E Latency. IEEE Transactions on Network and Service Management. 18(4). 4337–4352. 27 indexed citations
10.
Dai, Yu‐Hong, et al.. (2019). A Robust Interior Point Method for Computing the Analytic Center of an Ill-Conditioned Polytope with Errors. Journal of Computational Mathematics. 37(6). 843–865. 1 indexed citations
11.
Burdakov, Oleg, Yu‐Hong Dai, & Na Huang. (2019). Stabilized Barzilai-Borwein Method. Journal of Computational Mathematics. 37(6). 916–936. 26 indexed citations
12.
Dai, Yu‐Hong, Xinwei Liu, & Jie Sun. (2019). A primal-dual interior-point method capable of rapidly detecting infeasibility for nonlinear programs. Journal of Industrial and Management Optimization. 16(2). 1009–1035. 10 indexed citations
13.
Ma, Shiqian, et al.. (2016). Barzilai-Borwein step size for stochastic gradient descent. Neural Information Processing Systems. 29. 685–693. 40 indexed citations
14.
Chen, Zhongwen & Yu‐Hong Dai. (2016). A line search exact penalty method with bi-object strategy for nonlinear constrained optimization. Journal of Computational and Applied Mathematics. 300. 245–258. 10 indexed citations
15.
Liu, Ya‐Feng & Yu‐Hong Dai. (2014). On the Complexity of Joint Subcarrier and Power Allocation for Multi-User OFDMA Systems. IEEE Transactions on Signal Processing. 62(3). 583–596. 90 indexed citations
16.
Liu, Ya‐Feng, Yu‐Hong Dai, & Zhi‐Quan Luo. (2010). On the complexity of optimal coordinated downlink beamforming. 2. 3274–3277. 8 indexed citations
17.
Li, Fuxin, et al.. (2009). Kernel Learning by Unconstrained Optimization. International Conference on Artificial Intelligence and Statistics. 328–335. 12 indexed citations
18.
Zhou, Bin, Li Gao, & Yu‐Hong Dai. (2006). Monotone projected gradient methods for large-scale box-constrained quadratic programming. Science in China Series A Mathematics. 49(5). 688–702. 6 indexed citations
19.
Dai, Yu‐Hong. (2002). Convergence Properties of the BFGS Algoritm. SIAM Journal on Optimization. 13(3). 693–701. 217 indexed citations
20.
Dai, Yu‐Hong. (1999). Further insight into the convergence of the Fletcher-Reeves method. Science in China Series A Mathematics. 42(9). 905–916. 8 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.

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