Haiping Lu

5.1k total citations · 2 hit papers
150 papers, 3.4k citations indexed

About

Haiping Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomaterials. According to data from OpenAlex, Haiping Lu has authored 150 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 30 papers in Biomaterials. Recurrent topics in Haiping Lu's work include Calcium Carbonate Crystallization and Inhibition (30 papers), Blind Source Separation Techniques (12 papers) and Minerals Flotation and Separation Techniques (12 papers). Haiping Lu is often cited by papers focused on Calcium Carbonate Crystallization and Inhibition (30 papers), Blind Source Separation Techniques (12 papers) and Minerals Flotation and Separation Techniques (12 papers). Haiping Lu collaborates with scholars based in United States, China and United Kingdom. Haiping Lu's co-authors include Konstantinos N. Plataniotis, A.N. Venetsanopoulos, A.N. Venetsanopoulos, Alex C. Kot, How‐Lung Eng, Cuntai Guan, Y.Q. Shi, Filip Miljković, Bino John and Mason B. Tomson and has published in prestigious journals such as Journal of Neuroscience, Journal of Hazardous Materials and Science Advances.

In The Last Decade

Haiping Lu

135 papers receiving 3.2k 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.

MPCA: Multilinear Principal Component Analysis of Tensor Objects

2008 601 citations Haiping Lu, Konstantinos N. Plataniotis et al. IEEE Transactions on Neural Networks profile →
Interpretable bilinear attention network with domain adaptation improves drug–target prediction

2023 170 citations Filip Miljković, Bino John et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haiping Lu United States	27	1.1k	617	611	515	444	150	3.4k
Liqing Zhang China	37	4.2k 3.9×	1.3k 2.1×	666 1.1×	998 1.9×	557 1.3×	233	7.6k
Xiangrong Zhang China	53	3.2k 3.0×	879 1.4×	106 0.2×	1.3k 2.6×	36 0.1×	401	9.4k
Seungjin Choi South Korea	29	1.0k 0.9×	614 1.0×	987 1.6×	704 1.4×	139 0.3×	131	2.8k
Javier Escudero United Kingdom	36	184 0.2×	2.7k 4.3×	512 0.8×	413 0.8×	62 0.1×	165	4.8k
Vikas Singh United States	26	995 0.9×	319 0.5×	109 0.2×	544 1.1×	22 0.0×	120	2.5k
Z. Jane Wang Canada	42	2.9k 2.6×	1.7k 2.7×	769 1.3×	1.2k 2.3×	37 0.1×	255	7.7k
Qingshan Liu China	47	5.2k 4.8×	249 0.4×	715 1.2×	1.7k 3.3×	42 0.1×	273	8.5k
Hiroshi Murase Japan	32	3.5k 3.2×	108 0.2×	585 1.0×	610 1.2×	14 0.0×	389	5.5k
Yuanqing Li China	45	1.0k 0.9×	3.7k 6.1×	1.3k 2.1×	834 1.6×	35 0.1×	230	6.8k
Luc Lavoie Canada	17	521 0.5×	130 0.2×	520 0.9×	580 1.1×	12 0.0×	30	2.3k

Countries citing papers authored by Haiping Lu

Since Specialization

Citations

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

Fields of papers citing papers by Haiping Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miljković, Filip, et al.. (2025). Mask-prior-guided denoising diffusion improves inverse protein folding. Nature Machine Intelligence. 7(6). 876–888. 1 indexed citations

Zhao, Ruizhen, Zixuan Ding, Qian Wu, et al.. (2025). A plant NLR receptor activates auxin signaling through Aux/IAAs-ARF19 and YUC8-TIR1/AFBs to promote callose-mediated antiviral defense. Science Advances. 11(51). eaea2275–eaea2275.

Miljković, Filip, et al.. (2023). Interpretable bilinear attention network with domain adaptation improves drug–target prediction. Nature Machine Intelligence. 5(2). 126–136. 170 indexed citations breakdown →

Liu, Xianyuan, Shuo Zhou, Tao Leí, et al.. (2023). First-Person Video Domain Adaptation With Multi-Scene Cross-Site Datasets and Attention-Based Methods. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7774–7788. 1 indexed citations

Dwivedi, Krit, Robin Condliffe, Michael Sharkey, et al.. (2022). Computed tomography lung parenchymal descriptions in routine radiological reporting have diagnostic and prognostic utility in patients with idiopathic pulmonary arterial hypertension and pulmonary hypertension associated with lung disease. ERJ Open Research. 8(1). 549–2021. 10 indexed citations

Zhou, Shuo, et al.. (2022). Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity. IEEE Transactions on Medical Imaging. 42(1). 55–65. 38 indexed citations

Alabed, Samer, Michael Sharkey, Michail Mamalakis, et al.. (2022). Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies. Frontiers in Cardiovascular Medicine. 9. 956811–956811. 17 indexed citations

Swift, Andrew J., Haiping Lu, Johanna Uthoff, et al.. (2020). A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis. European Heart Journal - Cardiovascular Imaging. 22(2). 236–245. 56 indexed citations

Lu, Haiping, et al.. (2019). Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations. IEEE Transactions on Cybernetics. 51(7). 3496–3509. 8 indexed citations

10.

Lu, Haiping, et al.. (2016). Probabilistic rank-one matrix analysis with concurrent regularization. International Joint Conference on Artificial Intelligence. 2428–2434. 1 indexed citations

11.

Song, Liyan & Haiping Lu. (2016). EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 63. 445–460. 2 indexed citations

12.

Song, Liyan & Haiping Lu. (2016). Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 63. 398–413.

13.

Yuan, Xiangyan, Xiangqun Cui, Lifan Wang, et al.. (2015). The Antarctic Survey Telescopes AST3 and the AST3-NIR. 29. 2256923. 2 indexed citations

14.

Huang, Jian, Zhaomin Zhong, Mingyong Wang, et al.. (2015). Circadian Modulation of Dopamine Levels and Dopaminergic Neuron Development Contributes to Attention Deficiency and Hyperactive Behavior. Journal of Neuroscience. 35(6). 2572–2587. 109 indexed citations

15.

Lu, Haiping. (2013). Learning canonical correlations of paired tensor sets via tensor-to-vector projection. International Joint Conference on Artificial Intelligence. 1516–1522. 9 indexed citations

16.

Lu, Haiping, Yaozhang Pan, Bappaditya Mandal, et al.. (2012). Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis. IEEE Transactions on Biomedical Engineering. 60(2). 461–469. 35 indexed citations

17.

Wang, Jing, Lihua Li, Jiti Zhou, et al.. (2009). Enhanced biodecolorization of azo dyes by electropolymerization-immobilized redox mediator. Journal of Hazardous Materials. 168(2-3). 1098–1104. 31 indexed citations

18.

Lu, Haiping, Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2008). MPCA: Multilinear Principal Component Analysis of Tensor Objects. IEEE Transactions on Neural Networks. 19(1). 18–39. 601 indexed citations breakdown →

19.

Lu, Haiping. (2007). Biological decolourzation quinone compound enhancing azo dyes. China Environmental Science. 1 indexed citations

20.

Wilson, Gerald M., et al.. (2000). A fluorescence-based assay for 3′ → 5′ exoribonucleases: Potential applications to the study of mRNA decay. RNA. 6(3). 458–464. 1 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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