William Wei Song

114 total papers · 655 total citations
50 papers, 364 citations indexed

About

William Wei Song is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, William Wei Song has authored 50 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 16 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in William Wei Song's work include Service-Oriented Architecture and Web Services (15 papers), Semantic Web and Ontologies (7 papers) and Recommender Systems and Techniques (6 papers). William Wei Song is often cited by papers focused on Service-Oriented Architecture and Web Services (15 papers), Semantic Web and Ontologies (7 papers) and Recommender Systems and Techniques (6 papers). William Wei Song collaborates with scholars based in Sweden, China and United Kingdom. William Wei Song's co-authors include Xiaolin Zheng, Paul F. Williams, Susan V. McLennan, Stephen M. Twigg, Joanne T. M. Tan, James Bonner, Lisa Lo, Wenyu Zhang, Yan Wang and Deren Chen and has published in prestigious journals such as American Journal of Physiology-Cell Physiology, Information Sciences and Journal of the Association for Information Systems.

In The Last Decade

William Wei Song

41 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
William Wei Song 113 92 61 55 42 50 364
Andreas Eberhart 95 0.8× 99 1.1× 102 1.7× 39 0.7× 8 0.2× 26 310
Rixin Xu 186 1.6× 86 0.9× 15 0.2× 60 1.1× 36 0.9× 25 330
Ali Behmanesh 54 0.5× 30 0.3× 78 1.3× 37 0.7× 8 0.2× 29 366
Mohamed A. El-Rashidy 62 0.5× 41 0.4× 68 1.1× 28 0.5× 8 0.2× 40 395
Chia-Chi Teng 30 0.3× 59 0.6× 41 0.7× 37 0.7× 15 0.4× 35 402
Shweta Sharma 60 0.5× 106 1.2× 38 0.6× 103 1.9× 13 0.3× 37 356
Zheng Wu 62 0.5× 26 0.3× 59 1.0× 26 0.5× 27 0.6× 47 387
Eduardo Carrillo 20 0.2× 39 0.4× 41 0.7× 37 0.7× 11 0.3× 36 359
Chihiro Ono 112 1.0× 50 0.5× 13 0.2× 30 0.5× 50 1.2× 57 386
Nuno Lourenço 166 1.5× 30 0.3× 26 0.4× 46 0.8× 10 0.2× 56 344

Countries citing papers authored by William Wei Song

Since Specialization
Citations

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

Fields of papers citing papers by William Wei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Wei Song

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