Linhai Song

52 total papers · 1.7k total citations
35 papers, 1.2k citations indexed

About

Linhai Song is a scholar working on Computer Networks and Communications, Information Systems and Software. According to data from OpenAlex, Linhai Song has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 19 papers in Information Systems and 19 papers in Software. Recurrent topics in Linhai Song's work include Software Testing and Debugging Techniques (19 papers), Software System Performance and Reliability (15 papers) and Parallel Computing and Optimization Techniques (12 papers). Linhai Song is often cited by papers focused on Software Testing and Debugging Techniques (19 papers), Software System Performance and Reliability (15 papers) and Parallel Computing and Optimization Techniques (12 papers). Linhai Song collaborates with scholars based in United States, China and United Kingdom. Linhai Song's co-authors include Shan Lu, Guoliang Jin, Xiaoming Shi, Ben Liblit, Darko Marinov, Adrian Nistor, Wei Zhang, Yiying Zhang, Limin Yang and Wei Zhang and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices and Proceedings of the ACM on Programming Languages.

In The Last Decade

Linhai Song

35 papers receiving 1.1k citations

Hit Papers

Understanding and detecti... 2012 2026 2016 2021 2012 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Linhai Song 721 654 586 262 243 35 1.2k
Cristian Zamfir 608 0.8× 599 0.9× 615 1.0× 378 1.4× 272 1.1× 20 1.2k
Cemal Yılmaz 341 0.5× 492 0.8× 634 1.1× 137 0.5× 343 1.4× 68 1.0k
Jeff Huang 664 0.9× 540 0.8× 661 1.1× 570 2.2× 361 1.5× 74 1.4k
Charles Zhang 529 0.7× 539 0.8× 658 1.1× 398 1.5× 395 1.6× 75 1.2k
Sudheendra Hangal 392 0.5× 419 0.6× 487 0.8× 316 1.2× 270 1.1× 23 1.0k
Vijay Sundaresan 308 0.4× 482 0.7× 417 0.7× 262 1.0× 440 1.8× 22 940
Brian Demsky 806 1.1× 435 0.7× 363 0.6× 510 1.9× 439 1.8× 70 1.2k
Linzhang Wang 305 0.4× 417 0.6× 477 0.8× 156 0.6× 262 1.1× 87 936
Gilles Muller 578 0.8× 427 0.7× 260 0.4× 453 1.7× 577 2.4× 64 1.1k
Artur Andrzejak 906 1.3× 734 1.1× 218 0.4× 106 0.4× 224 0.9× 73 1.3k

Countries citing papers authored by Linhai Song

Since Specialization
Citations

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

Fields of papers citing papers by Linhai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linhai Song

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