Pinghui Wang

1.7k citations

94 papers · 922 indexed · h-index 15

Impact in

Statistical and Nonlinear Physics top 5%
- Complex Network Analysis Techniques
Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Internet Traffic Analysis and Secure E-voting
- Data Stream Mining Techniques
- Topic Modeling

Papers in ⓘ

Statistical and Nonlinear Physics 30
- Complex Network Analysis Techniques 30
Artificial Intelligence 54
- Advanced Graph Neural Networks 25
- Internet Traffic Analysis and Secure E-voting 12

Co-authors: Xiaohong Guan (49 shared papers)Junzhou Zhao (41 shared papers)John C. S. Lui (22 shared papers)Jing Tao (30 shared papers)Don Towsley (16 shared papers)Tao Qin (9 shared papers)Long Chen (1 shared paper)Xiaoyan Wang (1 shared paper)
Journals: IEEE Transactions on Knowledge and Data Engineering (12 papers)Information Sciences (6 papers)Knowledge-Based Systems (3 papers)Knowledge and Information Systems (3 papers)ACM Transactions on Knowledge Discovery from Data (3 papers)
Partner nations: China Hong Kong United States

In The Last Decade

Pinghui Wang

85 papers receiving 913 citations

Peers

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-authors

The 25 scholars most cited alongside Pinghui Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pinghui Wang Line = papers co-authored together Pinghui Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Distinguish Confusing Law Articles for Legal Judgment Prediction Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao	2020	88
2	A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue IEEE/ACM Transactions on Networking ·Yuntao Wang, Zhou Su, Qichao Xu, Ruidong Li, Tom H. Luan, Pinghui Wang	2023	74
3	Efficiently Estimating Motif Statistics of Large Networks ACM Transactions on Knowledge Discovery from Data ·Pinghui Wang, John C. S. Lui, Bruno Ribeiro, Don Towsley, Junzhou Zhao, Xiaohong Guan	2014	57
4	A general framework for estimating graphlet statistics via random walk Proceedings of the VLDB Endowment ·Xiaowei Chen, Yongkun Li, Pinghui Wang, John C. S. Lui	2016	45
5	Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns IEEE Transactions on Mobile Computing ·Feiyang Sun, Pinghui Wang, Junzhou Zhao, Nuo Xu, Juxiang Zeng, Jing Tao, Kaikai Song, Chao Deng, John C. S. Lui, Xiaohong Guan	2021	33
6	Approximately counting triangles in large graph streams including edge duplicates with a fixed memory usage Proceedings of the VLDB Endowment ·Pinghui Wang, Yiyan Qi, Yu Sun, Xiangliang Zhang, Jing Tao, Xiaohong Guan	2017	30
7	Three-Dimensional Model Analysis and Processing Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Faxin Yu, Hao Luo, Zhe‐Ming Lu, Pinghui Wang	2010	29
8	FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs Information Fusion ·Chenxu Wang, Zhenhao Huang, Yue Wan, Junyu Wei, Junzhou Zhao, Pinghui Wang	2022	24
9	A Tale of Three Social Networks: User Activity Comparisons across Facebook, Twitter, and Foursquare IEEE Internet Computing ·Pinghui Wang, Wenbo He, Junzhou Zhao	2014	23
10	Minfer: A method of inferring motif statistics from sampled edges Pinghui Wang, John C. S. Lui, Don Towsley, Junzhou Zhao	2016	23
11	Monitoring abnormal network traffic based on blind source separation approach Journal of Network and Computer Applications ·Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang, Qiuzhen Huang	2011	19
12	Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring IEEE Transactions on Information Forensics and Security ·Xiaohong Guan, Tao Qin, Wei Li, Pinghui Wang	2010	17
13	Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang	2019	17
14	Robust Visual Question Answering: Datasets, Methods, and Future Challenges IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao	2024	16
15	Sampling online social networks by random walk with indirect jumps Data Mining and Knowledge Discovery ·Junzhou Zhao, Pinghui Wang, John C. S. Lui, Don Towsley, Xiaohong Guan	2018	15
16	REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel Pinghui Wang, Peng Jia, Yiyan Qi, Yu Sun, Jing Tao, Xiaohong Guan	2019	14
17	Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet	2017	14
18	Proactive microwave link anomaly detection in cellular data networks Computer Networks ·Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang	2019	14
19	Federated Learning Over Coupled Graphs IEEE Transactions on Parallel and Distributed Systems ·Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan	2023	13
20	A Fast Sketch Method for Mining User Similarities Over Fully Dynamic Graph Streams Peng Jia, Pinghui Wang, Jing Tao, Xiaohong Guan	2019	13

About Pinghui Wang

Pinghui Wang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Transportation, having authored 94 papers that have together received 922 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Advanced Graph Neural Networks (25 papers), Network Security and Intrusion Detection (14 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Data Management and Algorithms (8 papers), Caching and Content Delivery (8 papers), Human Mobility and Location-Based Analysis (8 papers) and Spam and Phishing Detection (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (234 citations), Artificial Intelligence (477 citations), Computer Networks and Communications (275 citations), Transportation (67 citations) and Signal Processing (105 citations). Pinghui Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, Knowledge-Based Systems, Knowledge and Information Systems and ACM Transactions on Knowledge Discovery from Data.

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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