Fengmin Xu

1.9k total citations · 1 hit paper
50 papers, 1.3k citations indexed

About

Fengmin Xu is a scholar working on Management Science and Operations Research, Finance and Computational Mechanics. According to data from OpenAlex, Fengmin Xu has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 16 papers in Finance and 16 papers in Computational Mechanics. Recurrent topics in Fengmin Xu's work include Risk and Portfolio Optimization (18 papers), Sparse and Compressive Sensing Techniques (15 papers) and Advanced Optimization Algorithms Research (14 papers). Fengmin Xu is often cited by papers focused on Risk and Portfolio Optimization (18 papers), Sparse and Compressive Sensing Techniques (15 papers) and Advanced Optimization Algorithms Research (14 papers). Fengmin Xu collaborates with scholars based in China, United States and Canada. Fengmin Xu's co-authors include Xiangyu Chang, Hai Zhang, Zongben Xu, Xiaojun Chen, Yinyu Ye, Jianchao Bai, Chengxian Xu, Hongchao Zhang, Zongben Xu and Xuepeng Li and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Fengmin Xu

44 papers receiving 1.3k citations

Hit Papers

$L_{1/2}$ Regularization: A Thresholding Representation T... 2012 2026 2016 2021 2012 250 500 750
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. $L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver
    2012 781 citations Fengmin Xu et al. profile →

Peers

Fengmin Xu
Zhaosong Lu Canada
Ingo Steinwart United States
Vladimir Koltchinskii United States
Peter Richtárik United Kingdom
Holger Höfling United States
Lin Xiao United States
Günter Rote Germany
Vasilios N. Katsikis Greece
Zhaosong Lu Canada
Fengmin Xu
Citations per year, relative to Fengmin Xu Fengmin Xu (= 1×) peers Zhaosong Lu

Countries citing papers authored by Fengmin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Fengmin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengmin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengmin Xu. A scholar is included among the top collaborators of Fengmin Xu 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 Fengmin Xu. Fengmin Xu 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.
Liu, Zhenyu, et al.. (2025). Detecting Accounting Fraud in China A‐Share Market With PU Learning. Accounting and Finance. 65(4). 3361–3378.
2.
Xu, Fengmin, et al.. (2025). A cross-sectional and longitudinal cohort study of creatinine-to-cystatin C ratio and cardiovascular disease risk in a middle-aged and elderly population. Frontiers in Endocrinology. 16. 1531394–1531394. 1 indexed citations
3.
Xu, Fengmin, et al.. (2025). Data is power: the impact of data asset management on expected stock returns. Asia-Pacific Journal of Accounting & Economics. 1–35.
4.
Liu, Wenjun, et al.. (2024). Should the Occupational Pension Plans’ Investment be Long-Term or Short-Term? Evidence from China. Computational Economics. 65(6). 3391–3418.
5.
Xu, Fengmin, et al.. (2023). Robust enhanced indexation optimization with sparse industry layout constraint. Computers & Operations Research. 161. 106420–106420.
6.
Xu, Fengmin, et al.. (2023). Intelligent option portfolio model with perspective of shadow price and risk-free profit. Financial Innovation. 9(1). 2 indexed citations
7.
Ribeiro, Celso C., et al.. (2022). Dynamic scheduling of e-sports tournaments. Transportation Research Part E Logistics and Transportation Review. 169. 102988–102988. 9 indexed citations
8.
Bai, Jianchao, et al.. (2019). Convergence revisit on generalized symmetric ADMM. Optimization. 70(1). 149–168. 6 indexed citations
9.
Xu, Fengmin, et al.. (2018). Efficient projected gradient methods for cardinality constrained optimization. Science China Mathematics. 62(2). 245–268. 4 indexed citations
10.
Xu, Fengmin, et al.. (2018). A sparse enhanced indexation model with norm and its alternating quadratic penalty method. Journal of the Operational Research Society. 70(3). 433–445. 8 indexed citations
11.
Bai, Jianchao, et al.. (2017). A novel method for a class of structured low-rank minimizations with equality constraint. Journal of Computational and Applied Mathematics. 330. 475–487.
12.
Xu, Fengmin, et al.. (2017). A sparse enhanced indexation model with chance and cardinality constraints. Journal of Global Optimization. 70(1). 5–25. 13 indexed citations
13.
Xu, Fengmin, Zhaosong Lu, & Zongben Xu. (2015). An efficient optimization approach for a cardinality-constrained index tracking problem. Optimization methods & software. 31(2). 258–271. 34 indexed citations
14.
Xu, Fengmin, et al.. (2015). Adaptive projected gradient thresholding methods for constrained l 0 problems. Science China Mathematics. 58(10). 1–20. 6 indexed citations
15.
Xu, Fengmin, et al.. (2015). Probabilistic graphical model for detecting spammers in microblog websites. International Journal of Embedded Systems. 8(1). 12–12. 2 indexed citations
16.
Xu, Fengmin, et al.. (2012). Sparse portfolio rebalancing model based on inverse optimization. Optimization methods & software. 29(2). 297–309. 5 indexed citations
17.
Xu, Fengmin, et al.. (2011). A new Lagrangian net algorithm for solving max-bisection problems. Journal of Computational and Applied Mathematics. 235(13). 3718–3723. 6 indexed citations
18.
Xu, Chengxian, et al.. (2011). A mixed 0–1 LP for index tracking problem with CVaR risk constraints. Annals of Operations Research. 196(1). 591–609. 30 indexed citations
19.
Xu, Chengxian, et al.. (2007). A discrete filled function algorithm for approximate global solutions of max-cut problems. Journal of Computational and Applied Mathematics. 220(1-2). 643–660. 9 indexed citations
20.
Xu, Chengxian, et al.. (2004). A BRANCH AND BOUND ALGORITHM FOR SEPARABLE CONCAVE PROGRAMMING ∗1). 3 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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