Ping Yu

1.3k total citations
101 papers, 685 citations indexed

About

Ping Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ping Yu has authored 101 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 35 papers in Computer Networks and Communications and 26 papers in Information Systems. Recurrent topics in Ping Yu's work include Software System Performance and Reliability (12 papers), Cryptography and Data Security (11 papers) and Distributed systems and fault tolerance (9 papers). Ping Yu is often cited by papers focused on Software System Performance and Reliability (12 papers), Cryptography and Data Security (11 papers) and Distributed systems and fault tolerance (9 papers). Ping Yu collaborates with scholars based in China, Australia and United States. Ping Yu's co-authors include Tarja Systä, Hausi Müller, Jian Lü, Xiaoxing Ma, Ren Ping Liu, Guangsheng Yu, Xu Wang, Wei Ni, Chun Cao and Chang Xu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Communications and ACM Computing Surveys.

In The Last Decade

Ping Yu

87 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Yu China	12	341	282	250	156	110	101	685
Jeremy Singer United Kingdom	14	360 1.1×	193 0.7×	394 1.6×	65 0.4×	61 0.6×	71	726
Guowu Xie United States	9	229 0.7×	213 0.8×	175 0.7×	36 0.2×	95 0.9×	12	458
René Rydhof Hansen Denmark	13	235 0.7×	224 0.8×	255 1.0×	170 1.1×	26 0.2×	66	641
Carlos A. Varela United States	15	268 0.8×	178 0.6×	522 2.1×	50 0.3×	35 0.3×	76	726
Daniel Tarlow United States	14	187 0.5×	377 1.3×	78 0.3×	97 0.6×	235 2.1×	38	668
Christophe Dubach United Kingdom	17	302 0.9×	242 0.9×	897 3.6×	97 0.6×	151 1.4×	70	1.4k
Xiwei Dong China	11	344 1.0×	205 0.7×	106 0.4×	284 1.8×	201 1.8×	30	654
Sedat Akleylek Türkiye	15	292 0.9×	365 1.3×	437 1.7×	59 0.4×	101 0.9×	119	824
Fei He China	11	84 0.2×	183 0.6×	138 0.6×	107 0.7×	235 2.1×	79	593
Chaojing Tang China	18	262 0.8×	761 2.7×	280 1.1×	130 0.8×	59 0.5×	162	1.2k

Countries citing papers authored by Ping Yu

Since Specialization

Citations

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

Fields of papers citing papers by Ping Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yu

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

Yuan, Weizhe, Ilia Kulikov, Ping Yu, et al.. (2025). Following Length Constraints in Instructions. 24243–24254.

Shridhar, Kumar, Koustuv Sinha, Andrew Cohen, et al.. (2024). The ART of LLM Refinement: Ask, Refine, and Trust. Repository for Publications and Research Data (ETH Zurich). 5872–5883. 2 indexed citations

Yu, Ping, et al.. (2024). Efficient and Privacy-Enhanced Federated Learning Based on Parameter Degradation. IEEE Transactions on Services Computing. 17(5). 2304–2319. 3 indexed citations

Wang, Xu, et al.. (2024). Blockchained Federated Learning for Internet of Things: A Comprehensive Survey. ACM Computing Surveys. 56(10). 1–37. 24 indexed citations

Yu, Guangsheng, Xu Wang, Qin Wang, et al.. (2023). IronForge: An Open, Secure, Fair, Decentralized Federated Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 354–368. 21 indexed citations

Yu, Guangsheng, et al.. (2023). Obfuscating the Dataset: Impacts and Applications. ACM Transactions on Intelligent Systems and Technology. 14(5). 1–15. 3 indexed citations

Zhang, Zhaoxin, et al.. (2023). Configuration anormaly detection and resolution risk assessment of authoritative domain name server. Computers & Security. 135. 103426–103426. 2 indexed citations

Yu, Ping, et al.. (2022). Flexible Scanning Method by Integrating Laser Line Sensors with Articulated Arm Coordinate Measuring Machines. Chinese Journal of Mechanical Engineering. 35(1). 4 indexed citations

Yu, Ping, Wei Ni, Ren Ping Liu, et al.. (2022). Efficient Encrypted Range Query on Cloud Platforms. ACM Transactions on Cyber-Physical Systems. 6(3). 1–23.

10.

Yu, Ping, Wei Ni, Guangsheng Yu, et al.. (2021). Efficient Anonymous Data Authentication for Vehicular Ad Hoc Networks. Security and Communication Networks. 2021. 1–14. 4 indexed citations

11.

Li, Chunyuan, et al.. (2020). Feature Quantization Improves GAN Training. International Conference on Machine Learning. 1. 11376–11386. 4 indexed citations

12.

Yu, Guangsheng, Xuan F. Zha, Xu Wang, et al.. (2020). Enabling Attribute Revocation for Fine-Grained Access Control in Blockchain-IoT Systems. IEEE Transactions on Engineering Management. 67(4). 1213–1230. 80 indexed citations

13.

Yu, Ping, et al.. (2020). Bayesian Meta Sampling for Fast Uncertainty Adaptation. International Conference on Learning Representations. 5 indexed citations

14.

Yu, Ping, et al.. (2020). An Aeromagnetic Compensation Algorithm Based on a Deep Autoencoder. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 13 indexed citations

15.

Zhao, Yang, et al.. (2020). Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. arXiv (Cornell University). 1 indexed citations

16.

Yu, Ping. (2010). Reflection of Research about the Chinese Mathematics Cognitive Structure. Journal on Mathematics Education. 2 indexed citations

17.

Ma, Xiaoxing, et al.. (2007). Constructing Self-Adaptive Systems with Polymorphic Software Architecture.. Software Engineering and Knowledge Engineering. 2–8. 10 indexed citations

18.

Yu, Ping. (2005). A semantic image retrieval system based on MPEG-7. Telecommunications for Electric Power System. 1 indexed citations

19.

Yu, Ping. (2004). Influence of Self-controlling Ability and CPFS Structure on the Mathematical Achievement in High School Students. Journal on Mathematics Education. 3 indexed citations

20.

Yu, Ping. (2003). Physical and thermohydraulic study on lead cooled fast breeder reactor. Nuclear Techniques. 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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