Haizhi Ye

17 total papers · 570 total citations
6 papers, 450 citations indexed

About

Haizhi Ye is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Haizhi Ye has authored 6 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Haizhi Ye's work include Software System Performance and Reliability (2 papers), Advanced Software Engineering Methodologies (2 papers) and Service-Oriented Architecture and Web Services (2 papers). Haizhi Ye is often cited by papers focused on Software System Performance and Reliability (2 papers), Advanced Software Engineering Methodologies (2 papers) and Service-Oriented Architecture and Web Services (2 papers). Haizhi Ye collaborates with scholars based in China and Canada. Haizhi Ye's co-authors include Rui Li and Huiqiang Wang and has published in prestigious journals such as Journal of Materials Engineering and Performance.

In The Last Decade

Haizhi Ye

5 papers receiving 436 citations

Hit Papers

An Overview of the Develo... 2003 2026 2010 2018 2003 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
Haizhi Ye 403 287 186 74 46 6 450
Shubham Gupta 352 0.9× 222 0.8× 156 0.8× 66 0.9× 18 0.4× 12 413
A. Moitra 367 0.9× 212 0.7× 123 0.7× 50 0.7× 36 0.8× 11 429
Ze Huang 390 1.0× 103 0.4× 188 1.0× 70 0.9× 32 0.7× 15 430
K.L. Kendig 459 1.1× 307 1.1× 265 1.4× 52 0.7× 48 1.0× 8 503
Dinesh Kumar Koli 376 0.9× 88 0.3× 151 0.8× 39 0.5× 47 1.0× 8 413
P.M. Kelly 461 1.1× 283 1.0× 301 1.6× 81 1.1× 15 0.3× 8 497
C.-L. Chen 363 0.9× 274 1.0× 304 1.6× 114 1.5× 9 0.2× 8 468
Sathyapal Hegde 472 1.2× 414 1.4× 228 1.2× 52 0.7× 26 0.6× 8 518
R. R. Sawtell 370 0.9× 300 1.0× 247 1.3× 97 1.3× 10 0.2× 7 440
M. Sakaliyska 448 1.1× 135 0.5× 232 1.2× 24 0.3× 22 0.5× 12 496

Countries citing papers authored by Haizhi Ye

Since Specialization
Citations

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

Fields of papers citing papers by Haizhi Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haizhi Ye

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