Han Qiu

3.7k citations
89 papers · 1.8k · h-index 23

Impact in

Papers in

    • Adversarial Robustness in Machine Learning 27
    • Anomaly Detection Techniques and Applications 12
    • Internet Traffic Analysis and Secure E-voting 7
    • Privacy-Preserving Technologies in Data 6
    • Advanced Neural Network Applications 8
    • Advanced Steganography and Watermarking Techniques 6

Han Qiu

80 papers receiving 1.8k citations

Peers

Han Qiu
Comparison fields: 5 of 96
  • Signal Processing 317
  • Information Systems 605
  • Computer Networks and Communications 583
  • Artificial Intelligence 787
  • Computer Vision and Pattern Recognition 322
Replace Shen Su with:
Shen Su China
Gang Chen China
Taeshik Shon South Korea
Chunfu Jia China
Ammar Almomani Jordan
Renyu Yang China
Emil Lupu United Kingdom
Fei Chen China
Fei Xue China
Di Niu Canada
Han Qiu relative to Shen Su China Shen Su's profile →
Citations per field
00.5×2.7×
Shen Su · 1×
Citations per year

Countries citing papers authored by Han Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Han Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020195
2 2020155
3 2021105
4 2020100
5 201995
6 201988
7 202085
8 202281
9 201981
10 202053
11 201848
12 201946
13 202044
14 202339
15 201934
16 201930
17 202329
18 202127
19 202127
20 202226

About Han Qiu

Han Qiu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Information Systems, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (27 papers), Advanced Malware Detection Techniques (19 papers), Network Security and Intrusion Detection (16 papers), Anomaly Detection Techniques and Applications (12 papers), Advanced Neural Network Applications (8 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Signal Processing (317 citations), Information Systems (605 citations), Computer Networks and Communications (583 citations), Artificial Intelligence (787 citations) and Computer Vision and Pattern Recognition (322 citations). Han Qiu has collaborated with scholars based in China, France and United States. Frequent co-authors include Meikang Qiu, Gérard Memmi, Tianwei Zhang, Jialiang Lu, Meiqin Liu, Zhihui Lu, Qinkai Zheng, Bhavani Thuraisingham, Ruqian Lu and Shangwei Guo. Their work appears in journals such as IEEE Internet of Things Journal, Information Sciences, IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems and Information Fusion.

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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