Qi Alfred Chen

132 total papers · 2.3k total citations
87 papers, 1.3k citations indexed

About

Qi Alfred Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Qi Alfred Chen has authored 87 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 33 papers in Electrical and Electronic Engineering and 31 papers in Signal Processing. Recurrent topics in Qi Alfred Chen's work include Advanced Malware Detection Techniques (29 papers), Vehicular Ad Hoc Networks (VANETs) (22 papers) and Adversarial Robustness in Machine Learning (21 papers). Qi Alfred Chen is often cited by papers focused on Advanced Malware Detection Techniques (29 papers), Vehicular Ad Hoc Networks (VANETs) (22 papers) and Adversarial Robustness in Machine Learning (21 papers). Qi Alfred Chen collaborates with scholars based in United States, China and Japan. Qi Alfred Chen's co-authors include Z. Morley Mao, Zhiyun Qian, Yunhan Jia, Henry X. Liu, Yiheng Feng, Junjie Shen, Amir Rahmati, Atul Prakash, Earlence Fernandes and Jie Hui and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Intelligent Transportation Systems and IEEE Sensors Journal.

In The Last Decade

Qi Alfred Chen

79 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qi Alfred Chen 576 545 538 400 362 87 1.3k
Kendall E. Nygard 212 0.4× 394 0.7× 900 1.7× 306 0.8× 375 1.0× 109 1.7k
Lucas C. K. Hui 279 0.5× 877 1.6× 736 1.4× 578 1.4× 574 1.6× 110 1.7k
Sevil Şen 321 0.6× 461 0.8× 655 1.2× 341 0.9× 296 0.8× 45 1.1k
Chen Yan 712 1.2× 776 1.4× 728 1.4× 377 0.9× 428 1.2× 57 1.8k
Stefano Zanero 868 1.5× 700 1.3× 975 1.8× 209 0.5× 657 1.8× 108 1.7k
Zhuo Ma 293 0.5× 614 1.1× 490 0.9× 301 0.8× 472 1.3× 73 1.4k
Patrick Tague 357 0.6× 331 0.6× 921 1.7× 388 1.0× 334 0.9× 89 1.5k
Michail Maniatakos 347 0.6× 656 1.2× 559 1.0× 497 1.2× 366 1.0× 121 1.8k
Bander Ali Saleh Al‐rimy 850 1.5× 425 0.8× 967 1.8× 202 0.5× 737 2.0× 47 1.6k
Youki Kadobayashi 439 0.8× 513 0.9× 999 1.9× 341 0.9× 499 1.4× 148 1.5k

Countries citing papers authored by Qi Alfred Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qi Alfred Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Alfred Chen

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

All Works

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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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