Zhichun Li

986 total citations
14 papers, 576 citations indexed

About

Zhichun Li is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Zhichun Li has authored 14 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 4 papers in Hardware and Architecture. Recurrent topics in Zhichun Li's work include Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Software System Performance and Reliability (5 papers). Zhichun Li is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Software System Performance and Reliability (5 papers). Zhichun Li collaborates with scholars based in United States, China and Hong Kong. Zhichun Li's co-authors include Yan Gao, Kangkook Jee, Zhengzhang Chen, Wajih Ul Hassan, Li Ding, Adam Bates, Shengjian Guo, Yan Chen, Yan Chen and Ashish Gupta and has published in prestigious journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and Food Science and Technology.

In The Last Decade

Zhichun Li

13 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhichun Li United States	11	507	295	200	165	62	14	576
J.B. Grizzard United States	11	355 0.7×	279 0.9×	243 1.2×	151 0.9×	29 0.5×	18	491
Gabriela Jacques-Silva United States	12	306 0.6×	149 0.5×	67 0.3×	142 0.9×	54 0.9×	21	450
Somesh Jha United States	12	705 1.4×	502 1.7×	694 3.5×	375 2.3×	87 1.4×	24	1.0k
Nikolaos Vasiloglou United States	6	428 0.8×	345 1.2×	264 1.3×	274 1.7×	22 0.4×	18	531
Jinliang Fan United States	6	245 0.5×	349 1.2×	95 0.5×	100 0.6×	32 0.5×	10	488
Dhiman Barman United States	9	587 1.2×	417 1.4×	141 0.7×	92 0.6×	81 1.3×	15	652
Germano Caronni Switzerland	11	495 1.0×	287 1.0×	68 0.3×	175 1.1×	28 0.5×	30	629
Ellick Chan United States	10	160 0.3×	211 0.7×	136 0.7×	165 1.0×	78 1.3×	22	404
Vincent H. Berk United States	11	333 0.7×	286 1.0×	198 1.0×	90 0.5×	17 0.3×	22	446
Ilir Gashi United Kingdom	11	291 0.6×	118 0.4×	139 0.7×	165 1.0×	24 0.4×	39	406

Countries citing papers authored by Zhichun Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhichun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhichun Li

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

All Works

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14 of 14 papers shown

1.

Tian, Ye, et al.. (2023). TCMQMS System: A digital twin and blockchain-based platform for tracing the whole process of Chinese medicine quality information. Food Science and Technology. 43.

2.

Hassan, Wajih Ul, Shengjian Guo, Li Ding, et al.. (2019). NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage. 163 indexed citations

3.

Gao, Peng, Xusheng Xiao, Li Ding, et al.. (2018). SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium. 639–656. 4 indexed citations

4.

Gao, Peng, Xusheng Xiao, Zhichun Li, et al.. (2018). AIQL: enabling efficient attack investigation from system monitoring data. arXiv (Cornell University). 113–125. 15 indexed citations

5.

Lin, Ying, Zhengzhang Chen, Cheng Cao, et al.. (2018). Collaborative Alert Ranking for Anomaly Detection. 1987–1995. 10 indexed citations

6.

Li, Zhichun, Mu Zhang, Kangkook Jee, et al.. (2018). NodeMerge. 1324–1337. 55 indexed citations

7.

Chen, Zhengzhang, Hui Wang, Lu‐An Tang, et al.. (2017). Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. 707–715. 24 indexed citations

8.

Li, Zhichun, et al.. (2010). WebProphet: automating performance prediction for web services. Networked Systems Design and Implementation. 10–10. 60 indexed citations

9.

Li, Zhichun, Xia Gao, Hongyu Gao, et al.. (2010). NetShield. 279–290. 35 indexed citations

10.

Li, Zhichun, Xia Gao, Hongyu Gao, et al.. (2010). NetShield. ACM SIGCOMM Computer Communication Review. 40(4). 279–290. 9 indexed citations

11.

Schweller, Robert, Zhichun Li, Yan Chen, et al.. (2007). Reversible Sketches: Enabling Monitoring and Analysis Over High-Speed Data Streams. IEEE/ACM Transactions on Networking. 15(5). 1059–1072. 119 indexed citations

12.

Gao, Yan, Zhichun Li, & Yan Chen. (2006). A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks. 39–39. 41 indexed citations

13.

Gao, Yan, et al.. (2006). IDGraphs: Intrusion Detection and Analysis Using Histographs. 5–5. 30 indexed citations

14.

Gao, Yan, et al.. (2005). IDGraphs: intrusion detection and analysis using histographs. 39–46. 11 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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