Qi Duan

2.0k citations
69 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Qi Duan

61 papers receiving 1.1k citations

Qi Duan's Hit Papers

Openflow random host mutation 2012 · 334 citations
3340+4+9Years since publication100200300

Peers

Qi Duan
Comparison fields: 5 of 77
  • Computer Networks and Communications 760
  • Signal Processing 293
  • Artificial Intelligence 343
  • Computer Graphics and Computer-Aided Design 37
  • Information Systems 197
Replace S. Ravi with:
S. Ravi India
Jigang Wen China
Dominik Schultes Germany
Refik Samet Türkiye
Chin‐Shiuh Shieh Taiwan
Sangwoo Moon United States
Hussein Alnuweiri Qatar
Jianbo Xu China
Qi Duan relative to S. Ravi India S. Ravi's profile →
Citations per field
00.5×6.2×
S. Ravi · 1×
Citations per year

Countries citing papers authored by Qi Duan

Since Specialization
Citations

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

Fields of papers citing papers by Qi Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qi Duan, 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 Qi Duan Line = papers co-authored together Qi Duan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Openflow random host mutation
Hit paper breakdown →
2012334
2 201588
3 201380
4 201458
5 201546
6 200841
7 201541
8 200932
9 201926
10 201525
11 202021
12 200519
13 201619
14 200618
15 201817
16 201316
17 200516
18 201815
19 200415
20 201315

About Qi Duan

Qi Duan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (17 papers), Advanced Malware Detection Techniques (11 papers), Software-Defined Networks and 5G (9 papers), Advanced Vision and Imaging (9 papers), Medical Image Segmentation Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Computer Graphics and Visualization Techniques (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (760 citations), Signal Processing (293 citations), Artificial Intelligence (343 citations), Computer Graphics and Computer-Aided Design (37 citations) and Information Systems (197 citations). Qi Duan has collaborated with scholars based in United States, China and France. Frequent co-authors include Ehab Al‐Shaer, Jafar Haadi Jafarian, Andrew F. Laine, Elsa D. Angelini, Xin Wei, Jianfei Cai, Kevin D. Costa, Liang Zhou, Jeffrey W. Holmes and Mostafa Ammar. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Intelligent & Fuzzy Systems, ACM Transactions on Privacy and Security and Journal of Computer and System Sciences.

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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