Yingnong Dang

67 total papers · 3.8k total citations
58 papers, 2.6k citations indexed

About

Yingnong Dang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yingnong Dang has authored 58 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 36 papers in Information Systems and 19 papers in Artificial Intelligence. Recurrent topics in Yingnong Dang's work include Software System Performance and Reliability (37 papers), Software Engineering Research (20 papers) and Cloud Computing and Resource Management (15 papers). Yingnong Dang is often cited by papers focused on Software System Performance and Reliability (37 papers), Software Engineering Research (20 papers) and Cloud Computing and Resource Management (15 papers). Yingnong Dang collaborates with scholars based in United States, China and Australia. Yingnong Dang's co-authors include Dongmei Zhang, Qingwei Lin, Hongyu Zhang, Tao Xie, Murali Chintalapati, Yong Xu, Peng Huang, Randolph Yao, Shi Han and Jian–Guang Lou and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGCOMM Computer Communication Review and Proceedings of the VLDB Endowment.

In The Last Decade

Yingnong Dang

57 papers receiving 2.5k citations

Hit Papers

Robust log-based anomaly ... 2015 2026 2018 2022 2019 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yingnong Dang 1.8k 1.4k 901 712 275 58 2.6k
Weiyi Shang 1.7k 0.9× 2.0k 1.4× 684 0.8× 1.1k 1.5× 222 0.8× 117 2.7k
Ivano Malavolta 1.1k 0.6× 1.4k 1.0× 928 1.0× 613 0.9× 177 0.6× 132 2.3k
J.M. Wing 1.4k 0.8× 1.3k 0.9× 737 0.8× 483 0.7× 641 2.3× 38 2.4k
Bing Xie 812 0.4× 1.2k 0.8× 538 0.6× 544 0.8× 290 1.1× 90 2.0k
Sergio Segura 774 0.4× 1.7k 1.2× 1.5k 1.7× 1.5k 2.1× 189 0.7× 70 2.7k
Philipp Leitner 1.6k 0.9× 1.6k 1.2× 399 0.4× 349 0.5× 84 0.3× 100 2.2k
Elisabetta Di Nitto 1.5k 0.8× 1.6k 1.2× 784 0.9× 223 0.3× 92 0.3× 140 2.5k
Alberto Coen‐Porisini 1.6k 0.9× 1.0k 0.7× 688 0.8× 206 0.3× 430 1.6× 75 2.5k
Lars Grunske 1.0k 0.6× 1.3k 0.9× 995 1.1× 1.3k 1.8× 141 0.5× 109 2.4k
Leonardo Mariani 837 0.5× 1.3k 0.9× 548 0.6× 1.4k 1.9× 253 0.9× 134 2.0k

Countries citing papers authored by Yingnong Dang

Since Specialization
Citations

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

Fields of papers citing papers by Yingnong Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingnong Dang

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