Jing Jie

836 citations
76 papers · 539 indexed · h-index 13
Topics
Metaheuristic Optimization Algorithms Research (26 papers)Advanced Algorithms and Applications (12 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)

In The Last Decade

Jing Jie

62 papers receiving 513 citations

Peers

Jing Jie
Comparison fields: 5 of 96
  • Artificial Intelligence 170
  • Control and Systems Engineering 144
  • Industrial and Manufacturing Engineering 75
  • Computational Theory and Mathematics 74
  • Electrical and Electronic Engineering 53
Replace Ricardo Tanscheit with:
Ricardo Tanscheit Brazil
Elizabeth F. Wanner Brazil
Barry Mather United States
Henrik Schiøler Denmark
Qingjiao Cao China
José Luis Pitarch Spain
Elena‐Lorena Hedrea Romania
M. N. Husain Malaysia
Vladimir Djordjevic Serbia
Laila Abdel‐Fatah Egypt
Jing Jie relative to Ricardo Tanscheit Brazil Ricardo Tanscheit's profile →
Citations per field
00.5×4.5×
Ricardo Tanscheit · 1×
Citations per year

Countries citing papers authored by Jing Jie

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Jie

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jie. A scholar is included among the top collaborators of Jing Jie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Jie. Jing Jie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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11 22
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14 12
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Hybrid particle-swarm optimization for multi-objective flexible job-shop scheduling problem
8
19
Solution of Travel Salesman Problem Based on Hybrid Particle Swarm Optimization Algorithm
0
20
Study of robustness in the world
2

About Jing Jie

Jing Jie is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 76 papers that have together received 539 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (26 papers), Advanced Algorithms and Applications (12 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (75 citations), Control and Systems Engineering (144 citations) and Artificial Intelligence (170 citations). Jing Jie has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jianchao Zeng, Chongzhao Han, Hui Zheng, Wanliang Wang, Le Zhou, Qinghua Wang, Beiping Hou, Richard D. Morris, Helen Kang and Xinli Xu. Their work appears in journals such as PLoS ONE, Scientific Reports and Advanced Science.

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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