Shengwei Ding

842 citations
19 papers · 678 · h-index 12

Impact in

    • Scheduling and Optimization Algorithms
    • Manufacturing Process and Optimization
    • Advanced Manufacturing and Logistics Optimization
    • Flexible and Reconfigurable Manufacturing Systems
    • Assembly Line Balancing Optimization
    • Industrial Vision Systems and Defect Detection
    • Petri Nets in System Modeling

Papers in

Shengwei Ding

19 papers receiving 661 citations

Peers

Shengwei Ding
Comparison fields: 5 of 46
  • Industrial and Manufacturing Engineering 539
  • Computational Theory and Mathematics 217
  • Management Information Systems 104
  • Management Science and Operations Research 77
  • Statistics, Probability and Uncertainty 40
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Citations per year

Countries citing papers authored by Shengwei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shengwei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Shengwei Ding, 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 Shengwei Ding Line = papers co-authored together Shengwei Ding links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2010115
2 2007113
3 2008111
4 201068
5 200754
6 201449
7 201028
8 200728
9 200628
10 200527
11 200814
12 200712
13 20098
14 20047
15 20046
16 20093
17 20073
18 20072
19 20062

About Shengwei Ding

Shengwei Ding is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Management Information Systems, Computational Theory and Mathematics and Finance, having authored 19 papers that have together received 678 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Manufacturing Process and Optimization (7 papers), Advanced Queuing Theory Analysis (3 papers), Petri Nets in System Modeling (3 papers), Assembly Line Balancing Optimization (3 papers), Innovation Diffusion and Forecasting (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (539 citations), Computational Theory and Mathematics (217 citations), Management Information Systems (104 citations), Management Science and Operations Research (77 citations) and Statistics, Probability and Uncertainty (40 citations). Shengwei Ding has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Jingang Yi, Wai Kin Victor Chan, Robert C. Leachman, J. George Shanthikumar, Dezhen Song, Maolan Zhang, Chen–Fu Chien, Terrence Hendershott, P. van der Meulen and Raha Akhavan‐Tabatabaei. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, International Journal of Production Economics, Financial Review, Winter Simulation Conference and Proceedings of the 2009 Winter Simulation Conference (WSC).

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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