Shousheng Liu

2.9k citations
85 papers · 2.0k indexed · 1 hit paper · h-index 20
Topics
Liver Disease Diagnosis and Treatment (42 papers)Multi-Criteria Decision Making (12 papers)Lipid metabolism and disorders (12 papers)
Partner nations
ChinaJapanHong Kong

In The Last Decade

Shousheng Liu

83 papers receiving 1.9k citations

Hit Papers

Generalized aggregation operators for intuitionistic fuzz...20092026201420202009100200300400

Peers

Shousheng Liu
Comparison fields: 5 of 155
  • Epidemiology 684
  • Management Science and Operations Research 590
  • Control and Systems Engineering 309
  • Oncology 292
  • Hepatology 292
Replace Claire O’Brien with:
Claire O’Brien United Kingdom
Jung‐Fa Tsai Taiwan
Sigurður Ólafsson United States
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Weilong Liu China
Konstantinos Anagnostopoulos Greece
Yutaka Takahashi Japan
Chunyan Duan China
Qin Yu China
Turgay Ayer United States
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Citations per field
00.5×5.3×
Claire O’Brien · 1×
Citations per year

Countries citing papers authored by Shousheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shousheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shousheng Liu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 2
4 0
5 1
6 2
7 3
8 4
9 7
10 8
11 26
12 8
13 11
14 16
15 13
16 7
17 13
18 14
19 4
20
Multipopulation Parallel Genetic Algorithm Based on Even Partition
2

About Shousheng Liu

Shousheng Liu is a scholar working on Hepatology, Epidemiology and Management Science and Operations Research, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (42 papers), Multi-Criteria Decision Making (12 papers) and Lipid metabolism and disorders (12 papers). The work is most often cited by research in Management Science and Operations Research (590 citations), Hepatology (292 citations) and Statistics and Probability (211 citations). Shousheng Liu has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Zeshui Xu, Hua Zhao, Yongning Xin, Mingfang Ni, Hamido Fujita, Hai Wang, Shui-Xian Du, Quanjiang Dong, Jie Zhang and Xuefeng Ma. Their work appears in journals such as Scientific Reports, Endocrinology and IEEE Access.

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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