Houduo Qi

2.1k total citations
69 papers, 1.4k citations indexed

About

Houduo Qi is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Houduo Qi has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Numerical Analysis, 39 papers in Computational Mechanics and 27 papers in Computational Theory and Mathematics. Recurrent topics in Houduo Qi's work include Advanced Optimization Algorithms Research (40 papers), Sparse and Compressive Sensing Techniques (31 papers) and Matrix Theory and Algorithms (17 papers). Houduo Qi is often cited by papers focused on Advanced Optimization Algorithms Research (40 papers), Sparse and Compressive Sensing Techniques (31 papers) and Matrix Theory and Algorithms (17 papers). Houduo Qi collaborates with scholars based in United Kingdom, China and Hong Kong. Houduo Qi's co-authors include Defeng Sun, Liqun Qi, Li‐Zhi Liao, Christian Kanzow, Naihua Xiu, Xin Chen, Xiaoming Yuan, Paul Tseng, Xin Chen and Qingna Li and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Signal Processing and Machine Learning.

In The Last Decade

Houduo Qi

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Houduo Qi United Kingdom 23 737 698 431 218 136 69 1.4k
Naihua Xiu China 24 1.1k 1.5× 1.2k 1.8× 558 1.3× 136 0.6× 74 0.5× 124 2.0k
Aris Daniilidis France 18 665 0.9× 972 1.4× 598 1.4× 158 0.7× 67 0.5× 51 1.6k
Wenyu Sun China 14 870 1.2× 669 1.0× 422 1.0× 212 1.0× 56 0.4× 69 1.4k
Deren Han China 21 733 1.0× 680 1.0× 1.0k 2.4× 192 0.9× 65 0.5× 96 1.7k
Ting Kei Pong Hong Kong 18 539 0.7× 522 0.7× 806 1.9× 203 0.9× 56 0.4× 54 1.4k
Jérôme Malick France 17 451 0.6× 482 0.7× 378 0.9× 152 0.7× 55 0.4× 46 1.0k
Etienne de Klerk Netherlands 22 1.3k 1.7× 1.4k 2.0× 381 0.9× 216 1.0× 101 0.7× 89 1.9k
Robert S. Womersley Australia 23 715 1.0× 614 0.9× 415 1.0× 103 0.5× 45 0.3× 53 1.4k
Jiming Peng United States 19 714 1.0× 700 1.0× 220 0.5× 201 0.9× 62 0.5× 63 1.3k
François Glineur Belgium 20 335 0.5× 253 0.4× 467 1.1× 383 1.8× 128 0.9× 68 1.2k

Countries citing papers authored by Houduo Qi

Since Specialization
Citations

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

Fields of papers citing papers by Houduo Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houduo Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Houduo Qi. A scholar is included among the top collaborators of Houduo Qi 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 Houduo Qi. Houduo Qi 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.
Qi, Houduo, et al.. (2025). LAMBDA: A Large Model Based Data Agent. Journal of the American Statistical Association. 1–13. 3 indexed citations
2.
Wang, Yingxiao, Lingchen Kong, & Houduo Qi. (2024). An efficient Lagrange–Newton algorithm for long-only cardinality constrained portfolio selection on real data sets. Journal of Computational and Applied Mathematics. 461. 116453–116453.
3.
Qi, Houduo, et al.. (2023). Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications. Computational Optimization and Applications. 86(3). 1193–1227. 1 indexed citations
4.
Shen, Jian, Jein-Shan Chen, Houduo Qi, & Naihua Xiu. (2022). A penalized method of alternating projections for weighted low-rank hankel matrix optimization. Mathematical Programming Computation. 14(3). 417–450.
5.
Zhou, Shenglong, et al.. (2021). Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization. SIAM Journal on Optimization. 31(4). 3184–3211. 14 indexed citations
6.
Zhou, Shenglong, Naihua Xiu, & Houduo Qi. (2018). A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints. IEEE Transactions on Signal Processing. 66(16). 4331–4346. 17 indexed citations
7.
Qi, Houduo, et al.. (2015). Constrained Best Euclidean Distance Embedding on a Sphere: A Matrix Optimization Approach. SIAM Journal on Optimization. 25(1). 439–467. 19 indexed citations
8.
Qi, Houduo, et al.. (2015). A Computable Characterization of the Extrinsic Mean of Reflection Shapes and Its Asymptotic Properties. Asia Pacific Journal of Operational Research. 32(1). 1540005–1540005. 1 indexed citations
9.
Qi, Houduo. (2013). A Semismooth Newton Method for the Nearest Euclidean Distance Matrix Problem. SIAM Journal on Matrix Analysis and Applications. 34(1). 67–93. 28 indexed citations
10.
Li, Qingna & Houduo Qi. (2011). A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem. SIAM Journal on Optimization. 21(4). 1641–1666. 31 indexed citations
11.
Li, Qingna, Donghui Li, & Houduo Qi. (2010). Newton’s Method for Computing the Nearest Correlation Matrix with a Simple Upper Bound. Journal of Optimization Theory and Applications. 147(3). 546–568. 5 indexed citations
12.
Qi, Houduo & Defeng Sun. (2009). Correlation stress testing for value-at-risk: an unconstrained convex optimization approach. Computational Optimization and Applications. 45(2). 427–462. 31 indexed citations
13.
Qi, Houduo, et al.. (2007). An application of the nearest correlation matrix on web document classification. Journal of Industrial and Management Optimization. 3(4). 701–713. 6 indexed citations
14.
Qi, Houduo. (2007). New Sufficient Conditions for Global Robust Stability of Delayed Neural Networks. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 54(5). 1131–1141. 51 indexed citations
15.
Qi, Houduo & Liqun Qi. (2004). Deriving Sufficient Conditions for Global Asymptotic Stability of Delayed Neural Networks via Nonsmooth Analysis. IEEE Transactions on Neural Networks. 15(1). 99–109. 50 indexed citations
16.
Qi, Houduo, Liqun Qi, & Defeng Sun. (2003). Solving Karush--Kuhn--Tucker Systems via the Trust Region and the Conjugate Gradient Methods. SIAM Journal on Optimization. 14(2). 439–463. 17 indexed citations
17.
Sun, Defeng, Robert S. Womersley, & Houduo Qi. (2002). A feasible semismooth asymptotically Newton method for mixed complementarity problems. Mathematical Programming. 94(1). 167–187. 38 indexed citations
18.
Liao, Li‐Zhi, Houduo Qi, & Liqun Qi. (2001). Solving nonlinear complementarity problems with neural networks: a reformulation method approach. Journal of Computational and Applied Mathematics. 131(1-2). 343–359. 48 indexed citations
19.
Qi, Houduo. (2000). A Regularized Smoothing Newton Method for Box Constrained Variational Inequality Problems with P0-Functions. SIAM Journal on Optimization. 10(2). 315–330. 86 indexed citations
20.
Qi, Houduo, et al.. (1999). Regularized Smoothing Approximations to Vertical Nonlinear Complementarity Problems. Journal of Mathematical Analysis and Applications. 230(1). 261–276. 11 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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