Yingdong Lu

54 papers receiving 605 citations

Peers

Yingdong Lu
Comparison fields: 5 of 60
  • Management Information Systems 479
  • Industrial and Manufacturing Engineering 199
  • Management Science and Operations Research 145
  • Management of Technology and Innovation 64
  • Strategy and Management 124
Replace Shaohui Zheng with:
Shaohui Zheng Hong Kong
James Flynn United States
Yehua Wei United States
James L. Zydiak United States
Anders Thorstenson Denmark
Markus Ettl United States
Sharafali Moosa Singapore
V. Sridharan United States
Miao Song China
Young H. Chun United States
Yingdong Lu relative to Shaohui Zheng Hong Kong Shaohui Zheng's profile →
Citations per field
00.5×1.5×1.9×
Shaohui Zheng · 1×
Citations per year

Countries citing papers authored by Yingdong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yingdong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005102
2 2003101
3 200268
4 201663
5 201057
6 200532
7 200821
8 201217
9 200817
10 200714
11 200414
12 201113
13 200711
14 200711
15 200911
16 200910
17 20069
18 20128
19 20126
20 20126

About Yingdong Lu

Yingdong Lu is a scholar working on Management Information Systems, Computer Networks and Communications, Management Science and Operations Research, Industrial and Manufacturing Engineering and Statistics and Probability, having authored 65 papers that have together received 653 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (31 papers), Supply Chain and Inventory Management (16 papers), Scheduling and Optimization Algorithms (12 papers), Optimization and Search Problems (9 papers), Advanced Wireless Network Optimization (9 papers), Markov Chains and Monte Carlo Methods (9 papers), Probability and Risk Models (8 papers) and Reliability and Maintenance Optimization (6 papers). The work is most often cited by research in Management Information Systems (479 citations), Industrial and Manufacturing Engineering (199 citations), Management Science and Operations Research (145 citations), Management of Technology and Innovation (64 citations) and Strategy and Management (124 citations). Yingdong Lu has collaborated with scholars based in United States, China and France. Frequent co-authors include Jing-Sheng Song, David D. Yao, Mark S. Squillante, Mayank Sharma, Yao Zhao, David A. Goldberg, Ana Radovanović, Martin Bichler, Kaan Katırcıoğlu and Alan J. King. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Operations Research, IEEE Transactions on Automatic Control, Service Science and Probability in the Engineering and Informational 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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