Yanping Lu

534 total citations
10 papers, 394 citations indexed

About

Yanping Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yanping Lu has authored 10 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Yanping Lu's work include Metaheuristic Optimization Algorithms Research (2 papers), Video Surveillance and Tracking Methods (2 papers) and Advanced Clustering Algorithms Research (2 papers). Yanping Lu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (2 papers), Video Surveillance and Tracking Methods (2 papers) and Advanced Clustering Algorithms Research (2 papers). Yanping Lu collaborates with scholars based in China, Canada and United Kingdom. Yanping Lu's co-authors include H. A. Zebker, Shaozi Li, Li Sun, Changle Zhou, Shengrui Wang, Jingyu Zhang, Loi Lei Lai, Yongjun Zhang, Heinrich Braun and Yan Ma and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Journal of the Optical Society of America A and Machine Learning.

In The Last Decade

Yanping Lu

10 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanping Lu China	5	166	89	87	85	75	10	394
Arup Ray India	9	196 1.2×	171 1.9×	58 0.7×	92 1.1×	106 1.4×	25	460
Moussa Amrani China	8	152 0.9×	107 1.2×	115 1.3×	82 1.0×	80 1.1×	10	435
Mohammad Ariful Haque Bangladesh	10	81 0.5×	91 1.0×	21 0.2×	52 0.6×	103 1.4×	39	596
L. Khadra Jordan	11	284 1.7×	160 1.8×	28 0.3×	39 0.5×	81 1.1×	24	490
Yuwen Huang China	12	149 0.9×	114 1.3×	19 0.2×	113 1.3×	102 1.4×	39	450
Shailesh Kumar United States	9	61 0.4×	20 0.2×	20 0.2×	170 2.0×	63 0.8×	20	508
Esam Othman Saudi Arabia	8	67 0.4×	52 0.6×	16 0.2×	170 2.0×	41 0.5×	15	469
Ahmed S. Eltrass Egypt	13	143 0.9×	129 1.4×	137 1.6×	34 0.4×	68 0.9×	36	502
Sadiq Ali Pakistan	13	24 0.1×	48 0.5×	42 0.5×	80 0.9×	27 0.4×	52	466

Countries citing papers authored by Yanping Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yanping Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanping Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanping Lu. A scholar is included among the top collaborators of Yanping 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 Yanping Lu. Yanping 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:

10 of 10 papers shown

1.

Zhang, Jingyu, Yongjun Zhang, & Yanping Lu. (2021). A Comparative Study of Deep Learning Frameworks Based on Short-term Power Load Forecasting Experiments. Journal of Physics Conference Series. 2005(1). 12070–12070. 4 indexed citations

2.

Chen, et al.. (2014). A novel co-training object tracking algorithm based on online semi-supervised boosting. 1 indexed citations

3.

Sun, Li, et al.. (2012). ECG Analysis Using Multiple Instance Learning for Myocardial Infarction Detection. IEEE Transactions on Biomedical Engineering. 59(12). 3348–3356. 181 indexed citations

4.

Lu, Yanping, et al.. (2012). Automatic Text Clustering via Particle Swarm Optimization. International Journal of Digital Content Technology and its Applications. 6(23). 12–21. 2 indexed citations

5.

Lu, Yanping, et al.. (2010). Whole-Genome Sequence Characterization of Primary Auxin-Responsive <I>Aux/IAA</I> Gene Family in Sorghum (<I>Sorghum bicolor</I> L.). ACTA AGRONOMICA SINICA. 36(4). 688–694. 2 indexed citations

6.

Lu, Yanping. (2009). Particle swarm optimizer: applications in high-dimensional data clustering. 2 indexed citations

7.

Lu, Yanping, Shengrui Wang, Shaozi Li, & Changle Zhou. (2009). Particle swarm optimizer for variable weighting in clustering high-dimensional data. Machine Learning. 82(1). 43–70. 52 indexed citations

8.

Lu, Yanping. (2007). Particle Swarm Optimization Based on Adaptive Diffusion and Hybrid Mutation. Journal of Software. 18(11). 2740–2740. 12 indexed citations

9.

Lai, Loi Lei, et al.. (2006). Particle Swarm Optimization for Economic Dispatch of Units with Non-Smooth Input-Output Characteristic Functions. 499–503. 9 indexed citations

10.

Zebker, H. A. & Yanping Lu. (1998). Phase unwrapping algorithms for radar interferometry: residue-cut, least-squares, and synthesis algorithms. Journal of the Optical Society of America A. 15(3). 586–586. 129 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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