Kaijun Leng

894 citations
22 papers · 267 · h-index 8

Impact in

Papers in

Kaijun Leng

22 papers receiving 260 citations

Peers

Kaijun Leng
Comparison fields: 5 of 57
  • Management Information Systems 83
  • Marketing 74
  • Industrial and Manufacturing Engineering 55
  • Strategy and Management 70
  • Management Science and Operations Research 33
Replace Shaoxuan Liu with:
Shaoxuan Liu China
Junfeng Dong China
Sumanta Basu India
Manoj Kumar Khurana India
Aaron Luntala Nsakanda Canada
Jesús Hamilton Ortiz Colombia
Abdullah Daşçı Canada
Luca Gobbato Italy
Xue-Ming Yuan Singapore
Belkız Torğul Türkiye
Kaijun Leng relative to Shaoxuan Liu China Shaoxuan Liu's profile →
Citations per field
00.5×1.6×
Shaoxuan Liu · 1×
Citations per year

Countries citing papers authored by Kaijun Leng

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Kaijun Leng, 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 Kaijun Leng Line = papers co-authored together Kaijun Leng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201893
2 202139
3 202220
4 202013
5 202212
6 201912
7 201511
8 20199
9
A Genetic Algorithm Approach for TOC-based Supply Chain Coordination
20128
10 20198
11 20108
12 20086
13 20226
14 20244
15 20124
16 20184
17 20163
18 20172
19 20132
20 20101

About Kaijun Leng

Kaijun Leng is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research, Management of Technology and Innovation and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 267 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (7 papers), Operations Management Techniques (6 papers), Supply Chain and Inventory Management (6 papers), Video Surveillance and Tracking Methods (4 papers), Product Development and Customization (3 papers), Vehicle Routing Optimization Methods (3 papers), Advanced Measurement and Detection Methods (3 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Management Information Systems (83 citations), Marketing (74 citations), Industrial and Manufacturing Engineering (55 citations), Strategy and Management (70 citations) and Management Science and Operations Research (33 citations). Kaijun Leng has collaborated with scholars based in China, South Korea and Belgium. Frequent co-authors include Stuart X. Zhu, Qiankai Qing, Wen Shi, Kyoung-Su Park, Xiaohuan Li, Yuan Gan, Xuejun Hu, Xiangjun Chen, Zhihan Lv and Hao Li. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Internet of Things Journal, Journal of Intelligent & Fuzzy Systems, International Journal of Computational Intelligence Systems and Sustainability.

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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