Shaojun Lu

811 citations
45 papers · 587 · h-index 12

Impact in

Papers in

Shaojun Lu

43 papers receiving 565 citations

Peers

Shaojun Lu
Comparison fields: 5 of 54
  • Industrial and Manufacturing Engineering 375
  • Management Information Systems 52
  • Management Science and Operations Research 64
  • Strategy and Management 53
  • Medical Laboratory Technology 4
Replace Luís Guimarães with:
Luís Guimarães Portugal
Hongwei Ding China
Pedro M. Mateo Spain
Miguel A. González Spain
Li‐Chih Wang Taiwan
Tamer F. Abdelmaguid Egypt
Tsung‐Nan Tsai Taiwan
Yushuang Hou China
Mohamed Ahmed Kuwait
Shaojun Lu relative to Luís Guimarães Portugal Luís Guimarães's profile →
Citations per field
00.5×5.5×
Luís Guimarães · 1×
Citations per year

Countries citing papers authored by Shaojun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201878
3 202438
4 202437
5 202337
6 201734
7 202133
8 202125
9 202023
10 202315
11 202414
12 201813
13 202211
14 202311
15 202311
16 202010
17 20239
18 20199
19 20238
20 20187

About Shaojun Lu

Shaojun Lu is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems and Management Science and Operations Research, having authored 45 papers that have together received 587 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (30 papers), Advanced Manufacturing and Logistics Optimization (22 papers), Assembly Line Balancing Optimization (12 papers), Optimization and Search Problems (6 papers), Optimization and Packing Problems (5 papers), Manufacturing Process and Optimization (5 papers), Supply Chain and Inventory Management (4 papers) and Advanced Antenna and Metasurface Technologies (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (375 citations), Management Information Systems (52 citations), Management Science and Operations Research (64 citations), Strategy and Management (53 citations) and Medical Laboratory Technology (4 citations). Shaojun Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinbao Liu, Pãnos M. Pardalos, Jun Pei, Wenjuan Fan, Hao Cheng, My T. Thai, Min Kong, Nenad Mladenović, Tao Jiang and Weizhong Wang. Their work appears in journals such as Computers & Industrial Engineering, International Journal of Production Research, Applied Soft Computing, Inorganic Chemistry and Engineering Applications of Artificial Intelligence.

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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