Yingdong Lu

54 papers receiving 647 citations

Peers

Yingdong Lu
Comparison fields: 5 of 62
  • Management Information Systems 499
  • Industrial and Manufacturing Engineering 208
  • Management Science and Operations Research 162
  • Management of Technology and Innovation 69
  • Strategy and Management 131
Replace Shaohui Zheng with:
Shaohui Zheng Hong Kong
James Flynn United States
Yehua Wei United States
Anders Thorstenson Denmark
V. Sridharan United States
Jihong Ou Singapore
Miao Song China
James R. Bradley United States
Young H. Chun United States
Ying Tat Leung United States
Yingdong Lu relative to Shaohui Zheng Hong Kong Shaohui Zheng's profile →
Citations per field
00.5×1.5×2.0×
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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003106
2 2005105
3 200280
4 201667
5 201057
6 200532
7 200823
8 201219
9 200818
10 200716
11 200415
12 201113
13 200712
14 200912
15 200911
16 200711
17 200610
18 20129
19 20128
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 66 papers that have together received 697 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), Markov Chains and Monte Carlo Methods (10 papers), Optimization and Search Problems (9 papers), Advanced Wireless Network Optimization (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 (499 citations), Industrial and Manufacturing Engineering (208 citations), Management Science and Operations Research (162 citations), Management of Technology and Innovation (69 citations) and Strategy and Management (131 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, Alan J. King, Martin Bichler and Kaan Katırcıoğlu. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Operations Research, IEEE Transactions on Automatic Control, IBM Journal of Research and Development and Mathematics of 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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