S. W. Han

1.6k total citations
3 papers, 5 citations indexed

About

S. W. Han is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, S. W. Han has authored 3 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in S. W. Han's work include Advanced Graph Neural Networks (2 papers), Recommender Systems and Techniques (1 paper) and Complex Network Analysis Techniques (1 paper). S. W. Han is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Recommender Systems and Techniques (1 paper) and Complex Network Analysis Techniques (1 paper). S. W. Han collaborates with scholars based in China, United Kingdom and Russia. S. W. Han's co-authors include Baochang Zhang, Lijuan Duan, Jizhou Wu, Yuqing Zhang, V. B. Sovkov, Guoqing Zhang, Zhehua Zhang, Z. H. Zhang, Weibin Li and Jie Ma and has published in prestigious journals such as Applied Sciences and npj Quantum Information.

In The Last Decade

S. W. Han

3 papers receiving 5 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. W. Han China	2	2	1	1	1	1	3	5
Boyu Chen China	2	2 1.0×					2	2
Sunitha Purushottam Ashtikar India	3	2 1.0×			1 1.0×		8	9
Ningmei Zhang China	2	2 1.0×					4	4
S. Rettie Switzerland	1	2 1.0×	1 1.0×			1 1.0×	3	3
D. Nguyen Vietnam	2	2 1.0×					3	2
X. W. Xu China	1	2 1.0×					2	2
Joshua A. Wong United States	1	2 1.0×					2	3
G. Lefebvre France	1	2 1.0×					2	2
Zhewen Hao China	1	2 1.0×			1 1.0×		2	2

Countries citing papers authored by S. W. Han

Since Specialization

Citations

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

Fields of papers citing papers by S. W. Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. W. Han

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

All Works

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3 of 3 papers shown

1.

Zhang, Zhehua, Z. H. Zhang, S. W. Han, et al.. (2025). Microwave-coupled optical bistability in driven and interacting Rydberg gases. npj Quantum Information. 11(1). 1 indexed citations

2.

Duan, Lijuan, et al.. (2024). Link Prediction Based on Data Augmentation and Metric Learning Knowledge Graph Embedding. Applied Sciences. 14(8). 3412–3412. 2 indexed citations

3.

Duan, Lijuan, et al.. (2023). Knowledge Graph Embedding Method Based on Entity Metric Learning. 381–387. 2 indexed citations

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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