Pinghui Wang

1.7k total citations
94 papers, 922 citations indexed

About

Pinghui Wang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Pinghui Wang has authored 94 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 30 papers in Statistical and Nonlinear Physics and 29 papers in Computer Networks and Communications. Recurrent topics in Pinghui Wang's work include Complex Network Analysis Techniques (30 papers), Advanced Graph Neural Networks (25 papers) and Network Security and Intrusion Detection (14 papers). Pinghui Wang is often cited by papers focused on Complex Network Analysis Techniques (30 papers), Advanced Graph Neural Networks (25 papers) and Network Security and Intrusion Detection (14 papers). Pinghui Wang collaborates with scholars based in China, Hong Kong and United States. Pinghui Wang's co-authors include Xiaohong Guan, Junzhou Zhao, John C. S. Lui, Jing Tao, Don Towsley, Tao Qin, Long Chen, Xiaoyan Wang, Li Pan and Zhou Su and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and International Journal of Computer Vision.

In The Last Decade

Pinghui Wang

85 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pinghui Wang China	15	477	275	234	160	128	94	922
Lei Wu China	14	255 0.5×	309 1.1×	132 0.6×	75 0.5×	274 2.1×	88	786
Hasan Davulcu United States	18	465 1.0×	193 0.7×	156 0.7×	141 0.9×	351 2.7×	79	908
Kun Kuang China	18	838 1.8×	95 0.3×	38 0.2×	248 1.6×	198 1.5×	102	1.2k
Mohamed Amine Ben Farah Tunisia	13	370 0.8×	68 0.2×	133 0.6×	1.0k 6.3×	106 0.8×	26	1.3k
Peiquan Jin China	16	226 0.5×	603 2.2×	46 0.2×	121 0.8×	285 2.2×	159	1.0k
Christopher D. Carothers United States	24	126 0.3×	1.7k 6.0×	66 0.3×	94 0.6×	335 2.6×	129	2.3k
Venkatesh Srinivasan Canada	14	413 0.9×	192 0.7×	141 0.6×	108 0.7×	151 1.2×	77	783
Xiaoyang Wang China	16	403 0.8×	192 0.7×	434 1.9×	139 0.9×	161 1.3×	93	957
Toyotaro Suzumura Japan	21	427 0.9×	553 2.0×	141 0.6×	391 2.4×	382 3.0×	101	1.4k
Amogh Dhamdhere United States	21	465 1.0×	1.2k 4.4×	138 0.6×	76 0.5×	86 0.7×	58	1.5k

Countries citing papers authored by Pinghui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pinghui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinghui Wang

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

All Works

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20 of 20 papers shown

Tao, Jing, et al.. (2025). When Unknown Threat Meets Label Noise: A Self-Correcting Framework. IEEE Transactions on Dependable and Secure Computing. 23(1). 905–922.

Wang, Pinghui, Junzhou Zhao, Tao Jing, et al.. (2025). Building Accurate and Interpretable Online Classifiers on Edge Devices. IEEE Transactions on Parallel and Distributed Systems. 36(8). 1779–1796. 1 indexed citations

Qin, Tao, et al.. (2025). DAPEW: Towards robust collaborative filtering with graph contrastive learning. Knowledge-Based Systems. 318. 113570–113570.

Wang, Pinghui, Ruofei Zhang, Nuo Xu, et al.. (2024). MERGE: Fast Private Text Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 19884–19892. 3 indexed citations

Wang, Pinghui, et al.. (2024). A Revisit to Graph Neighborhood Cardinality Estimation. 3125–3137.

Wang, Pinghui, et al.. (2024). Grand: A Fast and Accurate Graph Retrieval Framework via Knowledge Distillation. 1639–1648.

Xie, Hong, et al.. (2023). Optimizing recommendations under abandonment risks: Models and algorithms. Performance Evaluation. 161. 102351–102351.

Wang, Pinghui, et al.. (2023). Fast Gumbel-Max Sketch and its Applications. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9350–9363. 3 indexed citations

Wang, Yuntao, Zhou Su, Qichao Xu, et al.. (2023). A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue. IEEE/ACM Transactions on Networking. 31(6). 2422–2438. 74 indexed citations

10.

Bai, Haitao, Pinghui Wang, Ruofei Zhang, & Zhou Su. (2023). SegFormer: A Topic Segmentation Model with Controllable Range of Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12545–12552. 6 indexed citations

11.

Zhao, Junzhou, Pinghui Wang, Wei Zhang, et al.. (2023). Tracking Influencers in Decaying Social Activity Streams With Theoretical Guarantees. IEEE/ACM Transactions on Networking. 32(2). 1461–1476.

12.

Wang, Chenxu, et al.. (2022). MulSetRank: Multiple set ranking for personalized recommendation from implicit feedback. Knowledge-Based Systems. 249. 108946–108946. 5 indexed citations

13.

Tao, Jing, et al.. (2021). A machine learning based approach for user privacy preservation in social networks. Peer-to-Peer Networking and Applications. 14(3). 1596–1607. 1 indexed citations

14.

Wang, Pinghui, et al.. (2020). Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. Neural Information Processing Systems. 33. 16520–16531. 1 indexed citations

15.

Wang, Pinghui, et al.. (2020). Distinguish Confusing Law Articles for Legal Judgment Prediction. 3086–3095. 88 indexed citations

16.

Guan, Xiaohong, et al.. (2020). Addressing the train–test gap on traffic classification combined subflow model with ensemble learning. Knowledge-Based Systems. 204. 106192–106192. 7 indexed citations

17.

Wang, Pinghui, John C. S. Lui, Junzhou Zhao, et al.. (2013). Efficiently Estimating Subgraph Statistics of Large Networks in the Dark.. arXiv (Cornell University). 1 indexed citations

18.

Wang, Pinghui, Junzhou Zhao, John C. S. Lui, Don Towsley, & Xiaohong Guan. (2013). Sampling node pairs over large graphs. 6. 781–792. 5 indexed citations

19.

Wang, Pinghui. (2004). Reliability Assessment and Life Prediction for Satellite Engine. Journal of Aerospace Power. 1 indexed citations

20.

Wang, Pinghui. (2003). A Study and analysis on influencing factor of the ultrasonic cavitation. 4 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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