Pingping Zhu

1.8k total citations · 1 hit paper
59 papers, 1.3k citations indexed

About

Pingping Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Pingping Zhu has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Computational Mechanics. Recurrent topics in Pingping Zhu's work include Advanced Adaptive Filtering Techniques (12 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers) and Distributed Control Multi-Agent Systems (6 papers). Pingping Zhu is often cited by papers focused on Advanced Adaptive Filtering Techniques (12 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers) and Distributed Control Multi-Agent Systems (6 papers). Pingping Zhu collaborates with scholars based in United States, China and Australia. Pingping Zhu's co-authors include José C. Prı́ncipe, Badong Chen, Songlin Zhao, Silvio Ferrari, Wenjie Lu, Cong Pu, Longlong Wang, Qunjie Xu, Qiaoxia Li and Rongxing Lu and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

In The Last Decade

Pingping Zhu

51 papers receiving 1.3k citations

Hit Papers

Quantized Kernel Least Mean Square Algorithm 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingping Zhu United States 18 490 435 361 261 214 59 1.3k
João Marcos Travassos Romano Brazil 17 261 0.5× 413 0.9× 150 0.4× 206 0.8× 117 0.5× 129 1.1k
Jesper Rindom Jensen Denmark 21 790 1.6× 1.3k 2.9× 266 0.7× 227 0.9× 55 0.3× 161 1.8k
Jingkun Gao China 17 94 0.2× 145 0.3× 253 0.7× 151 0.6× 196 0.9× 35 1.5k
Chenglong Bao China 18 269 0.5× 128 0.3× 527 1.5× 1.3k 4.9× 42 0.2× 52 2.0k
Zhen Liu China 22 92 0.2× 192 0.4× 179 0.5× 183 0.7× 115 0.5× 140 1.6k
Wan Luo China 6 237 0.5× 213 0.5× 399 1.1× 247 0.9× 518 2.4× 16 1.3k
S. Koteswara Rao India 19 67 0.1× 149 0.3× 524 1.5× 135 0.5× 129 0.6× 162 1.6k
Zihan Zhou China 16 652 1.3× 330 0.8× 198 0.5× 1.1k 4.2× 64 0.3× 80 1.9k
Yilun Chen China 13 119 0.2× 177 0.4× 86 0.2× 213 0.8× 55 0.3× 45 1.0k

Countries citing papers authored by Pingping Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingping Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Zhu. A scholar is included among the top collaborators of Pingping Zhu 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 Pingping Zhu. Pingping Zhu 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.
Wang, Pengzhen, et al.. (2025). HIF-1α modulates β-catenin pathway to enhance the survival and angiogenesis of PBMSCs under hypoxia environment. World Journal of Stem Cells. 17(11). 112484–112484.
3.
Wang, Xiaoyu, Xuan Liu, Wei Shao, et al.. (2023). Capturing the Precise Structure of Liquids: The Crystalline Sponge Method for an Undergraduate Laboratory Course. Journal of Chemical Education. 101(1). 136–144.
4.
Liu, Haiping, et al.. (2022). Phytochemical characterization, antioxidant potential, and health risk assessment of Radix Oryzae Glutinosae. Journal of Food and Drug Analysis. 30(3). 427–439. 1 indexed citations
5.
Zhu, Pingping, et al.. (2022). A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments. 2022 International Joint Conference on Neural Networks (IJCNN). 1–7. 2 indexed citations
6.
Pu, Cong & Pingping Zhu. (2021). Defending against Flooding Attacks in the Internet of Drones Environment. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 19 indexed citations
8.
Zhu, Pingping, Chang Liu, & Silvio Ferrari. (2021). Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. IEEE Transactions on Control of Network Systems. 8(2). 678–689. 11 indexed citations
9.
Zhu, Pingping, et al.. (2020). Oriented Pedestrian Social Interaction Modeling and Inference. 1373–1380. 2 indexed citations
10.
Zhu, Pingping, Wei Shao, Zheng Yuan, et al.. (2020). Innovation and Effect for Online Assisted Teaching Mode in College Chemistry Experiments under Internet Background. University Chemistry. 0(0). 0–0. 1 indexed citations
11.
Zhu, Pingping, et al.. (2019). Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps. Sensors. 19(7). 1524–1524. 14 indexed citations
12.
Linares, Richard, et al.. (2018). Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms.. arXiv (Cornell University). 2 indexed citations
13.
Beck, Jeffrey M., et al.. (2016). Satisficing in split-second decision making is characterized by strategic cue discounting.. Journal of Experimental Psychology Learning Memory and Cognition. 42(12). 1937–1956. 18 indexed citations
14.
Zhu, Pingping, et al.. (2016). Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking. IEEE Transactions on Control of Network Systems. 5(1). 142–153. 32 indexed citations
15.
Lu, Wenjie, Pingping Zhu, Silvio Ferrari, et al.. (2016). Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Automatica. 74. 360–368. 7 indexed citations
16.
Wei, Guiyi, Jun Shao, Yang Xiang, Pingping Zhu, & Rongxing Lu. (2014). Obtain confidentiality or/and authenticity in Big Data by ID-based generalized signcryption. Information Sciences. 318. 111–122. 41 indexed citations
17.
Wang, Longlong, et al.. (2014). Carbon-supported PdSn–SnO 2 catalyst for ethanol electro-oxidation in alkaline media. International Journal of Hydrogen Energy. 39(31). 17583–17588. 66 indexed citations
18.
Zhu, Pingping, Badong Chen, & José C. Prı́ncipe. (2013). Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS. IEEE Transactions on Signal Processing. 62(1). 141–155. 31 indexed citations
19.
Li, Qiuhua, Ping Li, Pingping Zhu, Jinhua Wu, & Liang Shi-zhong. (2008). Effects of Exogenous Organic Carbon Substrates on Nitrous Oxide Emissions during the Denitrification Process of Sequence Batch Reactors. Environmental Engineering Science. 25(8). 1221–1228. 30 indexed citations
20.
Dong, W., et al.. (2008). Upregulation of 78‐kDa glucose‐regulated protein in macrophages in peripheral joints of active ankylosing spondylitis. Scandinavian Journal of Rheumatology. 37(6). 427–434. 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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