Sheng Ang

934 citations
48 papers · 763 · h-index 16

Impact in

Papers in

Sheng Ang

45 papers receiving 746 citations

Peers

Sheng Ang
Comparison fields: 5 of 69
  • Management Science and Operations Research 517
  • Management Information Systems 146
  • Strategy and Management 189
  • Economics and Econometrics 241
  • Marketing 72
Replace Kamran Rashidi with:
Kamran Rashidi Sweden
Plácido Moreno Spain
Qiong Xia China
Amir Karbassi Yazdi Iran
Selçuk Korucuk Türkiye
Mohamad Amin Kaviani Iran
Neşe Yalçın Türkiye
Mahdi Mahdiloo Iran
Hongxia Sun China
Zongrun Wang China
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Citations per field
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Kamran Rashidi · 1×
Citations per year

Countries citing papers authored by Sheng Ang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Ang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 201582
3 202172
4 202052
5 201840
6 201829
7 202328
8 202028
9 201827
10 202327
11 201626
12 201924
13 201820
14 201918
15 202017
16 201916
17 201914
18 202113
19 201810
20 20229

About Sheng Ang

Sheng Ang is a scholar working on Management Science and Operations Research, Economics and Econometrics, Management Information Systems, Control and Systems Engineering and Strategy and Management, having authored 48 papers that have together received 763 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (35 papers), Multi-Criteria Decision Making (13 papers), Optimization and Mathematical Programming (10 papers), Supply Chain and Inventory Management (10 papers), Economic and Environmental Valuation (8 papers), Sustainable Supply Chain Management (5 papers), Fiscal Policy and Economic Growth (5 papers) and Energy, Environment, Economic Growth (5 papers). The work is most often cited by research in Management Science and Operations Research (517 citations), Management Information Systems (146 citations), Strategy and Management (189 citations), Economics and Econometrics (241 citations) and Marketing (72 citations). Sheng Ang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Feng Yang, Chien‐Ming Chen, Qiong Xia, Chenchen Yang, Manman Wang, Menghan Chen, Junjun Kong, Qingxian An, Fangqing Wei and Lijing Jiang. Their work appears in journals such as Computers & Industrial Engineering, Journal of the Operational Research Society, Omega, Asia Pacific Journal of Marketing and Logistics and Socio-Economic Planning Sciences.

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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