Junzhou Zhao

1.1k total citations
62 papers, 620 citations indexed

About

Junzhou Zhao is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Junzhou Zhao has authored 62 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 27 papers in Statistical and Nonlinear Physics and 11 papers in Computer Networks and Communications. Recurrent topics in Junzhou Zhao's work include Complex Network Analysis Techniques (27 papers), Advanced Graph Neural Networks (16 papers) and Opinion Dynamics and Social Influence (7 papers). Junzhou Zhao is often cited by papers focused on Complex Network Analysis Techniques (27 papers), Advanced Graph Neural Networks (16 papers) and Opinion Dynamics and Social Influence (7 papers). Junzhou Zhao collaborates with scholars based in China, Hong Kong and United States. Junzhou Zhao's co-authors include Pinghui Wang, John C. S. Lui, Xiaohong Guan, Don Towsley, Jing Tao, Long Chen, Xiaoyan Wang, Li Pan, Bruno Ribeiro and Xiangliang Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Junzhou Zhao

57 papers receiving 615 citations

Peers

Junzhou Zhao

SNP

CNC

CVPR

Cunchao Tu China

Gianvito Pio Italy

Gianluca Moro Italy

Tyler Derr United States

Bryan Perozzi United States

Cüneyt Gürcan Akçora United States

Thomas Schank Switzerland

Rolf Schwitter Australia

Choochart Haruechaiyasak Thailand

Donghong Ji China

Cunchao Tu China

Junzhou Zhao

1.2k ×3.8

429 ×1.9

SNP

57 ×0.5

CNC

247 ×2.7

92 ×1.1

CVPR

Citations per year, relative to Junzhou Zhao Junzhou Zhao (= 1×) peers Cunchao Tu

Countries citing papers authored by Junzhou Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Junzhou Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junzhou Zhao

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

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.

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

Wang, Chenxu, et al.. (2024). SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning. 618–628. 2 indexed citations

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

Hong, Xiaopeng, et al.. (2024). Token-based deep reinforcement learning for Heterogeneous VRP with Service Time Constraints. Knowledge-Based Systems. 300. 112173–112173. 8 indexed citations

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

Pan, Liangming, et al.. (2024). The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. 2025–2038. 2 indexed citations

Wang, Pinghui, et al.. (2024). A Compact and Accurate Sketch for Estimating a Large Range of Set Difference Cardinalities. 1338–1351. 2 indexed citations

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

10.

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

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.

Zhao, Junzhou, et al.. (2023). Perceived Value Dimensions of Virtual Idols and Its Influence Mechanism on Consumer Adoption Intention Based on Grounded Theory. Advances in Economics and Management Research. 6(1). 407–407.

13.

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

14.

Wang, Pinghui, Junzhou Zhao, Xiangliang Zhang, et al.. (2018). MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract). King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1773–1774. 1 indexed citations

15.

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

16.

Zhao, Junzhou, John C. S. Lui, Don Towsley, & Xiaohong Guan. (2014). Whom to follow: Efficient followee selection for cascading outbreak detection on online social networks. Computer Networks. 75. 544–559. 13 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.

Zhou, Yadong, Xiaohong Guan, Qinghua Zheng, Qindong Sun, & Junzhou Zhao. (2010). Analyzing group dynamics for incidental topics in online social networks. 401. 1941–1946. 1 indexed citations

20.

Tian, Yi, Xue Xiao, Jiangshe Zhang, et al.. (2006). The quantification of ADAMTS expression in an animal model of cerebral ischemia using real‐time PCR. Acta Anaesthesiologica Scandinavica. 51(2). 158–164. 25 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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