Zhisong Pan

1.8k citations
123 papers · 1.1k indexed · h-index 16
Topics
Anomaly Detection Techniques and Applications (25 papers)Network Security and Intrusion Detection (20 papers)Complex Network Analysis Techniques (19 papers)

In The Last Decade

Zhisong Pan

116 papers receiving 1.1k citations

Peers

Zhisong Pan
Comparison fields: 5 of 102
  • Artificial Intelligence 558
  • Computer Vision and Pattern Recognition 287
  • Computer Networks and Communications 227
  • Signal Processing 217
  • Management Science and Operations Research 175
Replace Athanasios Kehagias with:
Athanasios Kehagias Greece
Shie-Jue Lee Taiwan
Yuan Yang China
Hesam Izakian Canada
Adil Fahad Saudi Arabia
Ming Jin Australia
Abdullah Alamri Australia
Byung-Ro Moon South Korea
Zhisong Pan relative to Athanasios Kehagias Greece Athanasios Kehagias's profile →
Citations per field
00.5×7.8×
Athanasios Kehagias · 1×
Citations per year

Countries citing papers authored by Zhisong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zhisong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhisong Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhisong Pan. A scholar is included among the top collaborators of Zhisong Pan 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 Zhisong Pan. Zhisong Pan 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
#WorkIndexed citations
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2 1
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15 9
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Survey of outlier detection technologies
1
20
End-to-end service fault diagnosis of computer networks based on Bayesian networks
1

About Zhisong Pan

Zhisong Pan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 123 papers that have together received 1.1k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (25 papers), Network Security and Intrusion Detection (20 papers) and Complex Network Analysis Techniques (19 papers). The work is most often cited by research in Signal Processing (217 citations), Artificial Intelligence (558 citations) and Management Science and Operations Research (175 citations). Zhisong Pan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Guyu Hu, Xingyu Zhou, Songcan Chen, Cheng Zhao, Siqi Tang, Daoqiang Zhang, Qing Tao, Junyang Qiu, Wei Bai and Shize Guo. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

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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