Pinjia He

112 total papers · 4.7k total citations
56 papers, 2.5k citations indexed

About

Pinjia He is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Pinjia He has authored 56 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 28 papers in Information Systems and 28 papers in Artificial Intelligence. Recurrent topics in Pinjia He's work include Software System Performance and Reliability (28 papers), Software Engineering Research (13 papers) and Software Reliability and Analysis Research (9 papers). Pinjia He is often cited by papers focused on Software System Performance and Reliability (28 papers), Software Engineering Research (13 papers) and Software Reliability and Analysis Research (9 papers). Pinjia He collaborates with scholars based in China, Hong Kong and Switzerland. Pinjia He's co-authors include Michael R. Lyu, Jieming Zhu, Shilin He, Zibin Zheng, Jian Li, Zhuangbin Chen, Clara Meister, Zhendong Su, Jian Li and Jian Li and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and IEEE Transactions on Industrial Informatics.

In The Last Decade

Pinjia He

53 papers receiving 2.4k citations

Hit Papers

Drain: An Online Log Pars... 2016 2026 2019 2022 2017 2016 2017 2021 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
Pinjia He 1.8k 1.2k 1.1k 700 156 56 2.5k
Vijay Saraswat 2.2k 1.2× 958 0.8× 1.6k 1.4× 609 0.9× 154 1.0× 92 3.8k
Ladan Tahvildari 993 0.5× 1.5k 1.2× 1.1k 1.0× 751 1.1× 86 0.6× 81 2.1k
Bowen Alpern 1.2k 0.6× 484 0.4× 1.3k 1.1× 506 0.7× 190 1.2× 45 2.4k
Yingnong Dang 1.8k 1.0× 1.4k 1.2× 901 0.8× 712 1.0× 275 1.8× 58 2.6k
David Ungar 1.6k 0.9× 1.2k 1.0× 2.3k 2.0× 676 1.0× 184 1.2× 79 3.9k
Ivan Beschastnikh 1.0k 0.6× 1.1k 0.9× 613 0.5× 416 0.6× 127 0.8× 83 1.9k
Qingwei Lin 2.3k 1.3× 1.3k 1.1× 1.5k 1.3× 612 0.9× 185 1.2× 133 3.1k
Norbert Siegmund 1.1k 0.6× 1.6k 1.3× 1.4k 1.2× 655 0.9× 52 0.3× 91 2.1k
Sergio Segura 774 0.4× 1.7k 1.5× 1.5k 1.3× 1.5k 2.2× 189 1.2× 70 2.7k
Martin Odersky 1.4k 0.8× 1.1k 0.9× 2.8k 2.4× 528 0.8× 160 1.0× 142 4.0k

Countries citing papers authored by Pinjia He

Since Specialization
Citations

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

Fields of papers citing papers by Pinjia He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinjia He

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