Yuncong Chen

27 total papers · 1.2k total citations
13 papers, 661 citations indexed

About

Yuncong Chen is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yuncong Chen has authored 13 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Yuncong Chen's work include Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Yuncong Chen is often cited by papers focused on Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Yuncong Chen collaborates with scholars based in United States, China and Japan. Yuncong Chen's co-authors include Wei Cheng, Jingchao Ni, Bo Zong, Dongjin Song, Cristian Lumezanu, Haifeng Chen, Xinyang Feng, Nitesh V. Chawla, Chuxu Zhang and Lauren E. McElvain and has published in prestigious journals such as Neuron, Nature Methods and arXiv (Cornell University).

In The Last Decade

Yuncong Chen

12 papers receiving 645 citations

Hit Papers

A Deep Neural Network for... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yuncong Chen 446 255 226 101 54 13 661
Essam Debie 236 0.5× 133 0.5× 214 0.9× 45 0.4× 115 2.1× 18 574
Md Ishrak Islam Zarif 337 0.8× 255 1.0× 429 1.9× 110 1.1× 45 0.8× 22 745
Eric Liang 284 0.6× 150 0.6× 280 1.2× 70 0.7× 40 0.7× 19 703
Christos Dimitrakakis 321 0.7× 59 0.2× 137 0.6× 82 0.8× 60 1.1× 52 598
Luca Didaci 305 0.7× 215 0.8× 141 0.6× 28 0.3× 202 3.7× 22 668
Chathurika S. Wickramasinghe 303 0.7× 61 0.2× 186 0.8× 176 1.7× 18 0.3× 30 556
Benessa Defend 100 0.2× 107 0.4× 227 1.0× 40 0.4× 23 0.4× 6 564
Denis Foo Kune 220 0.5× 164 0.6× 305 1.3× 59 0.6× 19 0.4× 17 653
Amer Al‐Rahayfeh 273 0.6× 198 0.8× 400 1.8× 34 0.3× 84 1.6× 21 700
A. Navia-Vázquez 313 0.7× 315 1.2× 60 0.3× 107 1.1× 107 2.0× 38 771

Countries citing papers authored by Yuncong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuncong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuncong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuncong Chen. A scholar is included among the top collaborators of Yuncong 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 Yuncong Chen. Yuncong 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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