Shilian Han

22 total papers · 452 total citations
19 papers, 335 citations indexed

About

Shilian Han is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Shilian Han has authored 19 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 7 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Shilian Han's work include Multi-Criteria Decision Making (13 papers), Rough Sets and Fuzzy Logic (7 papers) and Fuzzy Systems and Optimization (4 papers). Shilian Han is often cited by papers focused on Multi-Criteria Decision Making (13 papers), Rough Sets and Fuzzy Logic (7 papers) and Fuzzy Systems and Optimization (4 papers). Shilian Han collaborates with scholars based in China and United States. Shilian Han's co-authors include Xinwang Liu, Jerry M. Mendel, Weizhong Wang, Jin Jiang, Wei Wang, Xiuzhi Sang, Xuhong Li, Yong Qin and Y. L. Xiao and has published in prestigious journals such as Expert Systems with Applications, Fuzzy Sets and Systems and Applied Soft Computing.

In The Last Decade

Shilian Han

18 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Shilian Han 224 105 102 88 43 19 335
Kaihong Guo 309 1.4× 136 1.3× 140 1.4× 103 1.2× 82 1.9× 17 378
Jibin Lan 281 1.3× 92 0.9× 90 0.9× 93 1.1× 113 2.6× 22 354
Xinli You 284 1.3× 59 0.6× 103 1.0× 105 1.2× 68 1.6× 20 363
W. Michael Conklin 174 0.8× 180 1.7× 49 0.5× 49 0.6× 44 1.0× 19 397
XU Ze 281 1.3× 72 0.7× 66 0.6× 102 1.2× 99 2.3× 24 356
Ricardo Alberto Marques Pereira 264 1.2× 104 1.0× 105 1.0× 79 0.9× 47 1.1× 35 389
Amna Habib 268 1.2× 60 0.6× 83 0.8× 102 1.2× 101 2.3× 15 365
Li Wang 215 1.0× 69 0.7× 62 0.6× 93 1.1× 37 0.9× 17 312
Dan Peng 283 1.3× 96 0.9× 80 0.8× 115 1.3× 105 2.4× 12 332
Leila Baccour 201 0.9× 85 0.8× 138 1.4× 68 0.8× 36 0.8× 20 302

Countries citing papers authored by Shilian Han

Since Specialization
Citations

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

Fields of papers citing papers by Shilian Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilian Han

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