Yue Sha

15 papers receiving 202 citations

Peers

Yue Sha
Comparison fields: 5 of 67
  • Management of Technology and Innovation 70
  • Organizational Behavior and Human Resource Management 63
  • Nephrology 23
  • Industrial and Manufacturing Engineering 30
  • Management Information Systems 17
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Bayan Hamdan United States
Emily L. Tucker United States
Inês Marqués Portugal
Amirhossein Khosrojerdi United States
Mehmet Tolga Taner Türkiye
Jaber Valizadeh Iran
Sebastian Schenkl Germany
Niki Matinrad Sweden
Kaoru Ishikawa Japan
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Citations per year

Countries citing papers authored by Yue Sha

Since Specialization
Citations

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

Fields of papers citing papers by Yue Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yue Sha, 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 Yue Sha Line = papers co-authored together Yue Sha links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201299
2 201723
3 202022
4 201817
5 202012
6 20199
7 20229
8 20223
9
[Cardiac valve involvement in Behcet's disease: a clinical study of 10 patients].
20103
10 20212
11 20182
12
[Long-term outcome of patients discharged with fever of unknown origin in the Department of General Internal Medicine of Peking Union Medical College Hospital].
20152
13
[An analysis of disease spectrum of patients admitted to the General Internal Medicine Unit at Peking Union Medical College Hospital from 2004 to 2008, and the value of general internal medicine unit in comprehensive hospitals].
20111
14 20161
15 20101
16 20250
17 20250

About Yue Sha

Yue Sha is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Public Health, Environmental and Occupational Health, Management Science and Operations Research and Emergency Medicine, having authored 17 papers that have together received 206 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (3 papers), Supply Chain and Inventory Management (2 papers), Risk and Portfolio Optimization (2 papers), Hematological disorders and diagnostics (2 papers), Healthcare professionals’ stress and burnout (1 paper), Medical Education and Admissions (1 paper), Vasculitis and related conditions (1 paper) and Energy, Environment, Economic Growth (1 paper). The work is most often cited by research in Management of Technology and Innovation (70 citations), Organizational Behavior and Human Resource Management (63 citations), Nephrology (23 citations), Industrial and Manufacturing Engineering (30 citations) and Management Information Systems (17 citations). Yue Sha has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Jun Huang, Xuejun Zeng, Jun‐Long Zhang, Hui Cao, Bingqing Zhang, Weigang Fang, Jing Wei, Xia Hong, Jing Jiang and Meiyun Ke. Their work appears in journals such as BMC Medical Education, Medicine, European Journal of Operational Research, Resources Policy and Computers & Operations Research.

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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