Suxin Wang

407 citations
21 papers · 284 · h-index 11

Impact in

Papers in

    • Financial Literacy, Pension, Retirement Analysis 8
    • Insurance, Mortality, Demography, Risk Management 8

Suxin Wang

19 papers receiving 276 citations

Peers

Suxin Wang
Comparison fields: 5 of 53
  • Demography 107
  • Industrial and Manufacturing Engineering 72
  • Accounting 81
  • Finance 57
  • Management Science and Operations Research 36
Replace Marida Bertocchi with:
Marida Bertocchi Italy
Kristina Šutienė Lithuania
David Sturrock United States
Masamitsu Ohnishi Japan
M. A. Pollatschek Israel
Milad Jasemi Iran
Selvaprabu Nadarajah United States
Woo Chang Kim South Korea
Paul Wentges Germany
Suxin Wang relative to Marida Bertocchi Italy Marida Bertocchi's profile →
Citations per field
00.5×7.8×
Marida Bertocchi · 1×
Citations per year

Countries citing papers authored by Suxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Suxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Suxin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suxin Wang Line = papers co-authored together Suxin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202236
2 201835
3 202132
4 202028
5 201923
6 201821
7 202119
8 202119
9 201917
10 202414
11 202111
12 202110
13 20106
14 20213
15 20113
16 20123
17 20182
18 20151
19 20201
20 20230

About Suxin Wang

Suxin Wang is a scholar working on Accounting, Demography, Finance, Management Science and Operations Research and General Health Professions, having authored 21 papers that have together received 284 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (8 papers), Financial Literacy, Pension, Retirement Analysis (8 papers), Stochastic processes and financial applications (6 papers), Global Health Care Issues (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Supply Chain and Inventory Management (3 papers), Multi-Criteria Decision Making (2 papers) and Insurance and Financial Risk Management (2 papers). The work is most often cited by research in Demography (107 citations), Industrial and Manufacturing Engineering (72 citations), Accounting (81 citations), Finance (57 citations) and Management Science and Operations Research (36 citations). Suxin Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hui Zhao, Hualing Bi, Fuqiang Lu, Ximin Rong, Leizhen Wang, Min Huang, Peiqi Wang, Liying Wang, Ziteng Wang and Meng Ge. Their work appears in journals such as Sustainability, Insurance Mathematics and Economics, Journal of Industrial and Management Optimization, Applied Mathematics and Computation and IMA Journal of Management Mathematics.

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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