Liangjun Ke

58 papers receiving 1.6k citations

Peers

Liangjun Ke
Comparison fields: 5 of 93
  • Industrial and Manufacturing Engineering 608
  • Computational Theory and Mathematics 402
  • Artificial Intelligence 641
  • Automotive Engineering 191
  • Transportation 103
Replace Keld Helsgaun with:
Keld Helsgaun Denmark
Laëtitia Jourdan France
Petrică C. Pop Romania
Puay Siew Tan Singapore
Michalis Mavrovouniotis United Kingdom
Paola Festa Italy
Koorush Ziarati Iran
Alok Pratap Singh India
B. Bullnheimer Austria
Genke Yang China
Liangjun Ke relative to Keld Helsgaun Denmark Keld Helsgaun's profile →
Citations per field
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Keld Helsgaun · 1×
Citations per year

Countries citing papers authored by Liangjun Ke

Since Specialization
Citations

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

Fields of papers citing papers by Liangjun Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liangjun Ke, 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 Liangjun Ke Line = papers co-authored together Liangjun Ke 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 2013255
2 2011187
3 2007152
4 2008149
5 2020144
6 201493
7 201086
8 201271
9 201559
10 200853
11 201832
12 201527
13 202127
14 202026
15 201023
16 201423
17 201022
18 201819
19 201715
20 201914

About Liangjun Ke

Liangjun Ke is a scholar working on Industrial and Manufacturing Engineering, Aerospace Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (19 papers), Metaheuristic Optimization Algorithms Research (11 papers), Satellite Communication Systems (9 papers), Robotic Path Planning Algorithms (8 papers), Reinforcement Learning in Robotics (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Optimization and Search Problems (7 papers) and Mobile Agent-Based Network Management (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (608 citations), Computational Theory and Mathematics (402 citations), Artificial Intelligence (641 citations), Automotive Engineering (191 citations) and Transportation (103 citations). Liangjun Ke has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Zuren Feng, Qingfu Zhang, Roberto Battiti, Zhigang Ren, Claudia Archetti, Xueming Qian, Xian‐Sheng Hua, Ping Chen, Xinghua Chai and Zhigang Ren. Their work appears in journals such as Applied Intelligence, IEEE Transactions on Cybernetics, Information Sciences, Computers & Industrial Engineering and Annals 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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