Ding Lu

493 total citations
26 papers, 340 citations indexed

About

Ding Lu is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Ding Lu has authored 26 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 5 papers in Computational Mechanics and 5 papers in Materials Chemistry. Recurrent topics in Ding Lu's work include Matrix Theory and Algorithms (8 papers), Sparse and Compressive Sensing Techniques (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Ding Lu is often cited by papers focused on Matrix Theory and Algorithms (8 papers), Sparse and Compressive Sensing Techniques (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Ding Lu collaborates with scholars based in China, United States and Switzerland. Ding Lu's co-authors include Gang Zhou, Zhaojun Bai, Yangfeng Su, Yijing Chen, Ling Yuan, Daoshan Yang, Rongmei Kong, Xiaobin Zhang, Fengli Qu and Bart Vandereycken and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Physical Chemistry Chemical Physics.

In The Last Decade

Ding Lu

23 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Lu China 10 104 82 82 60 42 26 340
Michael Mangold Germany 12 113 1.1× 104 1.3× 167 2.0× 70 1.2× 24 0.6× 49 503
Li Yin China 14 130 1.3× 67 0.8× 74 0.9× 40 0.7× 18 0.4× 108 613
P. F. Batcho United States 11 47 0.5× 129 1.6× 28 0.3× 76 1.3× 15 0.4× 16 467
Peter Klein Germany 12 107 1.0× 27 0.3× 58 0.7× 104 1.7× 16 0.4× 33 349
Suying Zhang China 13 61 0.6× 42 0.5× 49 0.6× 47 0.8× 9 0.2× 81 457
Romas Baronas Lithuania 16 26 0.3× 229 2.8× 454 5.5× 202 3.4× 53 1.3× 82 879
Yaoming Shi United States 10 23 0.2× 55 0.7× 23 0.3× 113 1.9× 24 0.6× 18 293
Xuefeng Wang China 14 89 0.9× 22 0.3× 249 3.0× 119 2.0× 14 0.3× 54 681
Tsutomu Kawabata Japan 12 179 1.7× 74 0.9× 140 1.7× 57 0.9× 11 0.3× 60 463

Countries citing papers authored by Ding Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ding Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Lu. A scholar is included among the top collaborators of Ding Lu 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 Ding Lu. Ding Lu 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.
Lu, Ding, et al.. (2026). Fair principal component analysis via eigenvalue optimization. BIT Numerical Mathematics. 66(1).
2.
Lü, Ming, Shi Chen, Ruobing Liu, et al.. (2025). Synthesis, Characterization and Evaluation of Resveratrol-Loaded Functionalized Carbon Nanoparticles for Extending Yeast Lifespan. ACS Omega. 10(25). 26458–26467.
3.
Bai, Zhaojun & Ding Lu. (2024). Variational Characterization of Monotone Nonlinear Eigenvector Problems and Geometry of Self-Consistent Field Iteration. SIAM Journal on Matrix Analysis and Applications. 45(1). 84–111. 1 indexed citations
4.
Lu, Ding & Ren‐Cang Li. (2023). Locally unitarily invariantizable NEPv and convergence analysis of SCF. Mathematics of Computation. 93(349). 2291–2329. 1 indexed citations
5.
Bai, Zhaojun, Ren‐Cang Li, & Ding Lu. (2022). Sharp Estimation of Convergence Rate for Self-Consistent Field Iteration to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems. SIAM Journal on Matrix Analysis and Applications. 43(1). 301–327. 8 indexed citations
6.
Lu, Ding. (2020). Nonlinear Eigenvector Methods for Convex Minimization over the Numerical Range. SIAM Journal on Matrix Analysis and Applications. 41(4). 1771–1796. 2 indexed citations
7.
Tong, Xiaochong, Jian Shang, Chunping Qiu, et al.. (2019). Normalized Projection Models for Geostationary Remote Sensing Satellite: A Comprehensive Comparative Analysis (January 2019). IEEE Transactions on Geoscience and Remote Sensing. 57(12). 9643–9658. 10 indexed citations
8.
Michiels, Wim, et al.. (2019). A globally convergent method to compute the real stability radius for time-delay systems. Systems & Control Letters. 127. 44–51.
9.
Tong, Xiaochong, et al.. (2019). A spatial multi-scale integer coding method and its application to three-dimensional model organization. International Journal of Digital Earth. 13(10). 1151–1171. 8 indexed citations
10.
Yamazaki, Ichitaro, Zhaojun Bai, Ding Lu, & Jack Dongarra. (2019). Matrix Powers Kernels for Thick-Restart Lanczos with Explicit External Deflation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 472–481. 1 indexed citations
11.
Tong, Xiaochong, Chengqi Cheng, Rong Wang, et al.. (2019). An efficient integer coding index algorithm for multi-scale time information management. Data & Knowledge Engineering. 119. 123–138. 16 indexed citations
12.
Lu, Ding, et al.. (2018). Landmark Matching Method about Pointing to the Ground of Three-axis Stabilization Geostationary Remote Sensing Satellite. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Tong, Xiaochong, et al.. (2018). Multiscale Integer Coding and Data Index of 3D Spatial Grid. Acta Geodaetica et Cartographica Sinica. 47(7). 1007. 2 indexed citations
14.
Bai, Zhaojun, Ding Lu, & Bart Vandereycken. (2018). Robust Rayleigh Quotient Minimization and Nonlinear Eigenvalue Problems. SIAM Journal on Scientific Computing. 40(5). A3495–A3522. 15 indexed citations
15.
Kong, Rongmei, Xiaobin Zhang, Ding Lu, Daoshan Yang, & Fengli Qu. (2017). Label-free fluorescence turn-on aptasensor for prostate-specific antigen sensing based on aggregation-induced emission–silica nanospheres. Analytical and Bioanalytical Chemistry. 409(24). 5757–5765. 52 indexed citations
16.
Lu, Ding, et al.. (2017). Novel fluorescent organic nanoparticles as a label-free biosensor for dopamine in serum. Journal of Materials Chemistry B. 5(15). 2750–2756. 20 indexed citations
17.
Tong, Xiaochong, et al.. (2016). An Efficient Integer Coding and Computing Method for Multiscale Time Segment. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Lu, Ding, Yangfeng Su, & Zhaojun Bai. (2016). Stability Analysis of the Two-level Orthogonal Arnoldi Procedure. SIAM Journal on Matrix Analysis and Applications. 37(1). 195–214. 41 indexed citations
19.
Lu, Ding, Xin Huang, Zhaojun Bai, & Yangfeng Su. (2015). A Padé approximate linearization algorithm for solving the quadratic eigenvalue problem with low‐rank damping. International Journal for Numerical Methods in Engineering. 103(11). 840–858. 6 indexed citations
20.
Wang, Gang, Hong Sun, Ding Lu, Gang Zhou, & Zhong‐Sheng Wang. (2015). Growth of Cu particles on a Cu2O truncated octahedron: tuning of the Cu content for efficient glucose sensing. Physical Chemistry Chemical Physics. 17(37). 24361–24369. 23 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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2026