Ping Liu

6.3k total citations · 3 hit papers
136 papers, 3.7k citations indexed

About

Ping Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ping Liu has authored 136 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Ping Liu's work include Video Surveillance and Tracking Methods (13 papers), Human Pose and Action Recognition (12 papers) and Face and Expression Recognition (9 papers). Ping Liu is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Human Pose and Action Recognition (12 papers) and Face and Expression Recognition (9 papers). Ping Liu collaborates with scholars based in China, United States and Singapore. Ping Liu's co-authors include Yi Yang, Yang He, Zibo Meng, Yan Tong, Ziwei Wang, Zhilan Hu, Shizhong Han, Yuhang Ding, Jiaxu Miao and Yu Wu and has published in prestigious journals such as Nano Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Hazardous Materials.

In The Last Decade

Ping Liu

126 papers receiving 3.5k 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.

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

2019 705 citations Yang He, Ping Liu et al. profile →
Facial Expression Recognition via a Boosted Deep Belief Network

2014 473 citations Ping Liu, Zibo Meng et al. profile →
Pose-Guided Feature Alignment for Occluded Person Re-Identification

2019 407 citations Jiaxu Miao, Yu Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Liu China	25	2.2k	1.2k	594	334	247	136	3.7k
Jinbo Bi United States	34	1.6k 0.7×	1.9k 1.6×	330 0.6×	209 0.6×	257 1.0×	150	4.7k
Haifeng Hu China	35	2.8k 1.3×	1.8k 1.5×	787 1.3×	404 1.2×	513 2.1×	309	5.4k
Daijin Kim South Korea	34	2.9k 1.3×	1.0k 0.9×	238 0.4×	412 1.2×	473 1.9×	179	4.2k
Éric Granger Canada	31	1.8k 0.8×	1.5k 1.2×	483 0.8×	269 0.8×	510 2.1×	208	3.9k
Pawan Kumar Singh India	30	1.2k 0.5×	1.2k 1.0×	140 0.2×	407 1.2×	232 0.9×	120	2.6k
Chaitanya Ahuja United States	6	875 0.4×	1.1k 0.9×	271 0.5×	121 0.4×	299 1.2×	12	2.4k
Deepak Kumar Jain China	28	964 0.4×	752 0.6×	357 0.6×	184 0.6×	169 0.7×	172	2.9k
Marina L. Gavrilova Canada	27	1.5k 0.7×	577 0.5×	187 0.3×	323 1.0×	873 3.5×	256	3.1k
Dan Feng China	40	3.4k 1.5×	1.4k 1.2×	118 0.2×	119 0.4×	238 1.0×	572	9.2k

Countries citing papers authored by Ping Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ping Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Liu. A scholar is included among the top collaborators of Ping Liu 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 Ping Liu. Ping Liu 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

Liu, Ping, et al.. (2024). Enterprise innovation, internal income gap and common wealth. Finance research letters. 64. 105475–105475. 7 indexed citations

Xiao, Lin, et al.. (2024). Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion. Information Sciences. 681. 121217–121217. 1 indexed citations

Liu, Ping, et al.. (2024). VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification. 447–453. 3 indexed citations

Tang, Lisha & Ping Liu. (2024). Challenges and Future Paths for China's New Energy Vehicles under New Quality Productivity. Frontiers in Business Economics and Management. 15(3). 368–375.

Liu, Ping, Qing‐Xiang Pei, & Yong‐Wei Zhang. (2022). Low-cycle fatigue failure of MoS 2 monolayer. Extreme Mechanics Letters. 58. 101942–101942. 6 indexed citations

He, Yang, Ping Liu, Linchao Zhu, & Yi Yang. (2022). Filter Pruning by Switching to Neighboring CNNs With Good Attributes. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 8044–8056. 41 indexed citations

Liu, Ping, Yuewei Lin, Zibo Meng, et al.. (2021). Point Adversarial Self-Mining: A Simple Method for Facial Expression Recognition. IEEE Transactions on Cybernetics. 52(12). 12649–12660. 30 indexed citations

Fan, Hehe, Ping Liu, Mingliang Xu, & Yi Yang. (2021). Unsupervised Visual Representation Learning via Dual-Level Progressive Similar Instance Selection. IEEE Transactions on Cybernetics. 52(9). 8851–8861. 19 indexed citations

Guan, Qingji, Yaping Huang, Yawei Luo, et al.. (2021). Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images. IEEE Transactions on Image Processing. 30. 2476–2487. 38 indexed citations

10.

Acharya, Viral V., Heitor Almeida, Yakov Amihud, & Ping Liu. (2021). Eﬃciency or resiliency? Corporate choice between ﬁnancial and operational hedging. SSRN Electronic Journal. 7 indexed citations

11.

He, Yang, Yuhang Ding, Ping Liu, et al.. (2020). Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration. 2006–2015. 149 indexed citations

12.

Pan, Pingbo, et al.. (2020). Hierarchical Temporal Modeling With Mutual Distance Matching for Video Based Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 31(2). 503–511. 35 indexed citations

13.

Luo, Yawei, Ping Liu, Tao Guan, Junqing Yu, & Yi Yang. (2020). Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation. arXiv (Cornell University). 33. 20612–20623. 8 indexed citations

14.

Miao, Jiaxu, Yu Wu, Ping Liu, Yuhang Ding, & Yi Yang. (2019). Pose-Guided Feature Alignment for Occluded Person Re-Identification. 542–551. 407 indexed citations breakdown →

15.

Liu, Ping, et al.. (2012). Review on Ontology Learning Methods and Techniques. Shuju fenxi yu zhishi faxian. 28(1). 19–26. 1 indexed citations

16.

Ma, Lizhuang, et al.. (2011). A comparative analysis of methods for probability estimation tree. WSEAS Transactions on Computers archive. 10(3). 71–80. 1 indexed citations

17.

Liu, Ping. (2011). Construction of Curriculum System on Automotive Service Engineering in Application-oriented Institutions. 1 indexed citations

18.

Liu, Ping, et al.. (2011). To What Extent Capital Structure Decision can Affect a Listed Company’s Total Market Value. International Conference on Management Science and Engineering. 5(4). 45–49. 1 indexed citations

19.

Liu, Ping, et al.. (2005). Fault Tree Logical Reduction Strategy for Living Probabilistic Safety Assessment. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 1 indexed citations

20.

Liu, Ping, et al.. (2000). An improved genetic algorithm for training layered feedforward neural networks. Journal of Zhejiang University. Science A. 1(3). 322–326. 2 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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