Pinghui Wang

430 total citations
25 papers, 233 citations indexed

About

Pinghui Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Pinghui Wang has authored 25 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Pinghui Wang's work include Internet Traffic Analysis and Secure E-voting (6 papers), Network Security and Intrusion Detection (5 papers) and Complex Network Analysis Techniques (4 papers). Pinghui Wang is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (6 papers), Network Security and Intrusion Detection (5 papers) and Complex Network Analysis Techniques (4 papers). Pinghui Wang collaborates with scholars based in China, United States and Hong Kong. Pinghui Wang's co-authors include Xiaohong Guan, Don Towsley, Fabrício Murai, Bruno Ribeiro, Tao Qin, Jing Tao, Junzhou Zhao, Zhenguo Li, Jiefeng Cheng and John C. S. Lui and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Pinghui Wang

22 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pinghui Wang China 7 141 119 93 33 27 25 233
Kamer Kaya United States 8 94 0.7× 87 0.7× 81 0.9× 70 2.1× 14 0.5× 12 224
Matthew J. Rattigan United States 8 139 1.0× 81 0.7× 162 1.7× 49 1.5× 32 1.2× 15 262
Yuanping Nie China 7 109 0.8× 37 0.3× 82 0.9× 59 1.8× 29 1.1× 31 202
Ali Pinar United States 3 83 0.6× 70 0.6× 148 1.6× 15 0.5× 25 0.9× 4 205
Aaram Yun South Korea 6 173 1.2× 121 1.0× 62 0.7× 141 4.3× 26 1.0× 9 274
Polina Rozenshtein Finland 7 109 0.8× 56 0.5× 102 1.1× 22 0.7× 60 2.2× 14 212
Patricia Iglesias Sánchez Germany 5 275 2.0× 165 1.4× 194 2.1× 40 1.2× 17 0.6× 10 324
Darren Strash United States 7 83 0.6× 72 0.6× 67 0.7× 15 0.5× 28 1.0× 18 200
Alessio Conte Italy 7 94 0.7× 74 0.6× 77 0.8× 19 0.6× 30 1.1× 33 199
Shaozhi Ye United States 8 111 0.8× 98 0.8× 95 1.0× 111 3.4× 24 0.9× 10 233

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

20 of 20 papers shown
1.
Wang, Pinghui, et al.. (2025). How Vital Is the Jurisprudential Relevance: Law Article-Intervened Legal Case Retrieval and Matching. ACM Transactions on Information Systems. 43(4). 1–32.
2.
Wang, Pinghui, et al.. (2025). Efficient and Accurate Differentially Private Cardinality Continual Releases. Proceedings of the ACM on Management of Data. 3(3). 1–27.
3.
Wang, Pinghui, et al.. (2025). Cross-Modal 3D Representation with Multi-View Images and Point Clouds. 3728–3739. 1 indexed citations
4.
Wang, Chenxu, et al.. (2024). SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning. 618–628. 2 indexed citations
5.
Pei, Hongbin, Pinghui Wang, Jing Tao, et al.. (2024). Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. 434–445. 2 indexed citations
6.
Wang, Pinghui, et al.. (2024). Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge. ACM Transactions on Information Systems. 43(1). 1–32. 2 indexed citations
7.
8.
Wang, Pinghui, et al.. (2024). An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities. Proceedings of the ACM on Management of Data. 2(1). 1–27. 2 indexed citations
9.
Pei, Hongbin, et al.. (2024). HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14572–14580. 3 indexed citations
10.
Wang, Pinghui, et al.. (2024). A Compact and Accurate Sketch for Estimating a Large Range of Set Difference Cardinalities. 1338–1351. 2 indexed citations
11.
Cai, Shaofeng, et al.. (2023). Robust and Transferable Log-based Anomaly Detection. Proceedings of the ACM on Management of Data. 1(1). 1–26. 12 indexed citations
12.
Wang, Pinghui, et al.. (2023). An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation. Proceedings of the ACM on Management of Data. 1(1). 1–24. 1 indexed citations
13.
Wang, Pinghui, et al.. (2018). Detecting a Variety of Long-Term Stealthy User Behaviors on High Speed Links. IEEE Transactions on Knowledge and Data Engineering. 31(10). 1912–1925. 4 indexed citations
14.
Wang, Pinghui, Xiangyu Wang, Jing Tao, Peng Zhang, & Xiaohong Guan. (2018). Continuously Distinct Sampling over Centralized and Distributed High Speed Data Streams. IEEE Transactions on Parallel and Distributed Systems. 30(2). 300–314. 2 indexed citations
15.
Wang, Pinghui, et al.. (2018). Mining Long-Term Stealthy User Behaviors on High Speed Links. 2051–2059. 4 indexed citations
16.
Wang, Pinghui, Junzhou Zhao, Xiangliang Zhang, et al.. (2017). MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs. IEEE Transactions on Knowledge and Data Engineering. 30(1). 73–86. 38 indexed citations
17.
Wang, Pinghui, Xiaohong Guan, Junzhou Zhao, Jing Tao, & Tao Qin. (2014). A New Sketch Method for Measuring Host Connection Degree Distribution. IEEE Transactions on Information Forensics and Security. 9(6). 948–960. 17 indexed citations
18.
Murai, Fabrício, Bruno Ribeiro, Don Towsley, & Pinghui Wang. (2013). On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling. IEEE Journal on Selected Areas in Communications. 31(6). 1017–1025. 23 indexed citations
19.
Wang, Pinghui. (2012). Risk Decision Making of Science and Technology Project Based on Interval Bayesian Model. Systems Engineering. 1 indexed citations
20.
Guan, Xiaohong, Pinghui Wang, & Tao Qin. (2009). A New Data Streaming Method for Locating Hosts with Large Connection Degree. 48. 1–6. 14 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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