Jing Luo

1.7k citations
98 papers · 1.2k indexed · h-index 19
Topics
Robot Manipulation and Learning (13 papers)Teleoperation and Haptic Systems (13 papers)Muscle activation and electromyography studies (11 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentJournal of Cleaner Production

In The Last Decade

Jing Luo

92 papers receiving 1.2k citations

Peers

Jing Luo
Comparison fields: 5 of 121
  • Control and Systems Engineering 370
  • Biomedical Engineering 300
  • Mechanical Engineering 276
  • Computer Vision and Pattern Recognition 218
  • Cognitive Neuroscience 171
Replace Masaki Onishi with:
Masaki Onishi Japan
Luiz Marcos Garcia Gonçalves Brazil
Zhenyu Lu China
Han‐Pang Huang Taiwan
Tian Wang China
Anita Graser Germany
J.M. Pastor Spain
Song Yang China
Abhinav Gupta United States
Yu Du China
Jing Luo relative to Masaki Onishi Japan Masaki Onishi's profile →
Citations per field
00.5×3.3×
Masaki Onishi · 1×
Citations per year

Countries citing papers authored by Jing Luo

Since Specialization
Citations

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

Fields of papers citing papers by Jing Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Luo. A scholar is included among the top collaborators of Jing Luo 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 Luo. Jing Luo 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
1 8
2 2
3 10
4 2
5 11
6 1
7 4
8 18
9 4
10 7
11 61
12 11
13 8
14 16
15 110
16 20
17 43
18 98
19 14
20 4

About Jing Luo

Jing Luo is a scholar working on Transportation, Control and Systems Engineering and Human-Computer Interaction, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Teleoperation and Haptic Systems (13 papers) and Muscle activation and electromyography studies (11 papers). The work is most often cited by research in Human-Computer Interaction (100 citations), Control and Systems Engineering (370 citations) and Computer Vision and Pattern Recognition (218 citations). Jing Luo has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Chenguang Yang, Yanan Li, Chao Liu, Zhi Liu, Yongping Pan, Chun‐Yi Su, Shaocheng Qu, Shi‐Lu Dai, Jianwen Hu and Miao Li. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

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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