Haiying Shan

67 total papers · 497 total citations
41 papers, 308 citations indexed

About

Haiying Shan is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Haiying Shan has authored 41 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Geometry and Topology, 26 papers in Computational Theory and Mathematics and 8 papers in Organic Chemistry. Recurrent topics in Haiying Shan's work include Graph theory and applications (28 papers), Matrix Theory and Algorithms (16 papers) and Advanced Graph Theory Research (9 papers). Haiying Shan is often cited by papers focused on Graph theory and applications (28 papers), Matrix Theory and Algorithms (16 papers) and Advanced Graph Theory Research (9 papers). Haiying Shan collaborates with scholars based in China, South Korea and United States. Haiying Shan's co-authors include Jia‐Yu Shao, Changxiang He, Xiying Yuan, Li Zhang, Muhuo Liu, Lihua You, Ji‐Ming Guo, Kinkar Chandra Das, Yue Liu and Yue Liu and has published in prestigious journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications and Discrete Applied Mathematics.

In The Last Decade

Haiying Shan

37 papers receiving 299 citations

Author Peers

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

Author Last Decade Papers Cites
Haiying Shan 207 172 106 58 55 41 308
Xiying Yuan 151 0.7× 165 1.0× 149 1.4× 46 0.8× 10 0.2× 38 274
Xinmao Wang 151 0.7× 35 0.2× 17 0.2× 8 0.1× 46 0.8× 31 313
Gui‐Xian Tian 184 0.9× 209 1.2× 3 0.0× 88 1.5× 43 0.8× 38 296
Enrico Carlini 149 0.7× 115 0.7× 162 1.5× 21 0.4× 39 315
Jie Xue 272 1.3× 324 1.9× 10 0.1× 91 1.6× 16 0.3× 35 346
Lu Lu 215 1.0× 273 1.6× 3 0.0× 84 1.4× 40 0.7× 43 316
Cristiano Bocci 189 0.9× 181 1.1× 66 0.6× 16 0.3× 30 303
Kristian Ranestad 115 0.6× 145 0.8× 32 0.3× 7 0.1× 34 267
Durmuş Bozkurt 173 0.8× 134 0.8× 10 0.1× 26 0.4× 29 0.5× 36 292
Carlos Hoppen 166 0.8× 157 0.9× 5 0.0× 52 0.9× 26 0.5× 52 270

Countries citing papers authored by Haiying Shan

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Shan. A scholar is included among the top collaborators of Haiying Shan 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 Haiying Shan. Haiying Shan 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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2026