Shuguo Han

406 citations
9 papers · 179 indexed · h-index 8
Topics
Cryptography and Data Security (8 papers)Privacy-Preserving Technologies in Data (7 papers)Stochastic Gradient Optimization Techniques (4 papers)
Journals
IEEE Transactions on Knowledge and Data EngineeringProceedings - International Conference on Data Engineering

In The Last Decade

Shuguo Han

9 papers receiving 173 citations

Peers

Shuguo Han
Comparison fields: 5 of 31
  • Artificial Intelligence 157
  • Information Systems 41
  • Computational Theory and Mathematics 26
  • Computer Networks and Communications 16
  • Sociology and Political Science 15
Replace Phillipp Schoppmann with:
Phillipp Schoppmann United States
Jakob Pagter Denmark
Shuichi Katsumata Japan
Ulrich Furbach Germany
Matthias Broecheler United States
Ajith Ramanathan United States
Rowena Chau Australia
Esha Ghosh United States
Ruy J. G. B. de Queiroz Brazil
Adam Groce United States
Shuguo Han relative to Phillipp Schoppmann United States Phillipp Schoppmann's profile →
Citations per field
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Phillipp Schoppmann · 1×
Citations per year

Countries citing papers authored by Shuguo Han

Since Specialization
Citations

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

Fields of papers citing papers by Shuguo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuguo Han

This figure shows the co-authorship network connecting the top 25 collaborators of Shuguo Han. A scholar is included among the top collaborators of Shuguo Han 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 Shuguo Han. Shuguo Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Shuguo Han

Shuguo Han is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 9 papers that have together received 179 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Privacy-Preserving Technologies in Data (7 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (157 citations), Computational Mathematics (2 citations) and Computer Science Applications (14 citations). Shuguo Han has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Wee Keong Ng, Vincent C. S. Lee, Li Wan, Philip S. Yu, Wei Zhang, Fang Liu, Sin G. Teo, Xiaoli Li, Dong Huang and Yang Yu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering and Proceedings - International Conference on Data Engineering.

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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