Haogang Chen

22 total papers · 1.0k total citations
16 papers, 646 citations indexed

About

Haogang Chen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Haogang Chen has authored 16 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Haogang Chen's work include Security and Verification in Computing (9 papers), Distributed systems and fault tolerance (7 papers) and Advanced Data Storage Technologies (7 papers). Haogang Chen is often cited by papers focused on Security and Verification in Computing (9 papers), Distributed systems and fault tolerance (7 papers) and Advanced Data Storage Technologies (7 papers). Haogang Chen collaborates with scholars based in United States and China. Haogang Chen's co-authors include Nickolai Zeldovich, M. Frans Kaashoek, Yandong Mao, Dong Zhou, Adam Chlipala, Tej Chajed, Daniel Ziegler, Xi Wang, Zhihao Jia and Yingwei Luo and has published in prestigious journals such as Communications of the ACM, Operating Systems Design and Implementation and Digital Commons - Michigan Tech (Michigan Technological University).

In The Last Decade

Haogang Chen

15 papers receiving 597 citations

Author Peers

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

Author Last Decade Papers Cites
Haogang Chen 398 356 248 237 167 16 646
Paruj Ratanaworabhan 334 0.8× 459 1.3× 184 0.7× 195 0.8× 372 2.2× 26 783
Derek L. Schuff 268 0.7× 385 1.1× 193 0.8× 126 0.5× 270 1.6× 15 677
Matthew Harren 472 1.2× 281 0.8× 161 0.6× 200 0.8× 223 1.3× 9 617
Christian Hammer 427 1.1× 245 0.7× 390 1.6× 400 1.7× 124 0.7× 40 746
Mariam Kamkar 263 0.7× 176 0.5× 278 1.1× 260 1.1× 77 0.5× 30 606
Jethro G. Beekman 353 0.9× 232 0.7× 289 1.2× 221 0.9× 50 0.3× 8 556
Shengjian Guo 242 0.6× 192 0.5× 193 0.8× 250 1.1× 110 0.7× 24 592
Sanidhya Kashyap 221 0.6× 478 1.3× 320 1.3× 199 0.8× 355 2.1× 34 788
Lorenzo Martignoni 363 0.9× 284 0.8× 292 1.2× 576 2.4× 107 0.6× 18 755
Byoungyoung Lee 427 1.1× 153 0.4× 207 0.8× 267 1.1× 172 1.0× 30 626

Countries citing papers authored by Haogang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haogang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haogang Chen

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