Zulong Diao

618 total citations
17 papers, 407 citations indexed

About

Zulong Diao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Zulong Diao has authored 17 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Zulong Diao's work include Network Security and Intrusion Detection (7 papers), Software System Performance and Reliability (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Zulong Diao is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Software System Performance and Reliability (4 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Zulong Diao collaborates with scholars based in China, United States and Hong Kong. Zulong Diao's co-authors include Xin Wang, Kun Xie, Dafang Zhang, Shaoyao He, Yingru Liu, Gaogang Xie, Xin Lü, Yanbiao Li, Guangxing Zhang and Xuying Meng and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE/ACM Transactions on Networking and Computer Networks.

In The Last Decade

Zulong Diao

11 papers receiving 394 citations

Peers

Zulong Diao
Comparison fields: 5 of 51
  • Building and Construction 230
  • Transportation 189
  • Artificial Intelligence 121
  • Control and Systems Engineering 103
  • Computer Networks and Communications 94
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Bei Pan United States View profile →
Citations per field, relative to Zulong Diao
Zulong Diao · 1×
Citations per year, relative to Zulong Diao
Zulong Diao · 1×

Countries citing papers authored by Zulong Diao

Since Specialization
Citations

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

Fields of papers citing papers by Zulong Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zulong Diao

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 10
5 5
6 0
7 33
8 0
9 34
10 3
11 0
12 20
13
Precise and Adaptable: Leveraging Deep Reinforcement Learning for GAP-based Multipath Scheduler
5
14 228
15 10
16 0
17 57

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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