Qiming Yang

663 citations
31 papers · 418 indexed · h-index 11
Topics
Guidance and Control Systems (12 papers)Robotic Path Planning Algorithms (10 papers)Distributed Control Multi-Agent Systems (4 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyIEEE Access
Partner nations
ChinaAustraliaFrance

In The Last Decade

Qiming Yang

26 papers receiving 406 citations

Peers

Qiming Yang
Comparison fields: 5 of 47
  • Aerospace Engineering 299
  • Computer Vision and Pattern Recognition 139
  • Artificial Intelligence 123
  • Computer Networks and Communications 56
  • Control and Systems Engineering 46
Replace Guanglei Meng with:
Guanglei Meng China
Weiren Kong China
Suleman Mir Pakistan
Yaxiang Yu China
Mirco Theile Germany
Cheng He China
Florian‐Michael Adolf Germany
Mariusz Wzorek Sweden
Zhiyu Mou China
Savvas Papaioannou Cyprus
Qiming Yang relative to Guanglei Meng China Guanglei Meng's profile →
Citations per field
00.5×1.6×
Guanglei Meng · 1×
Citations per year

Countries citing papers authored by Qiming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qiming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiming Yang. A scholar is included among the top collaborators of Qiming Yang 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 Qiming Yang. Qiming Yang 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 0
2 0
3 0
4 1
5 0
6 3
7 1
8 2
9 1
10 10
11 0
12 27
13 1
14 11
15 70
16 12
17 125
18 21
19 64
20 2

About Qiming Yang

Qiming Yang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Energy Engineering and Power Technology, having authored 31 papers that have together received 418 indexed citations. Recurring topics across this work include Guidance and Control Systems (12 papers), Robotic Path Planning Algorithms (10 papers) and Distributed Control Multi-Agent Systems (4 papers). The work is most often cited by research in Aerospace Engineering (299 citations), Computer Vision and Pattern Recognition (139 citations) and Artificial Intelligence (123 citations). Qiming Yang has collaborated with scholars based in China, Australia and France. Frequent co-authors include Guoqing Shi, Jiandong Zhang, Yong Wu, Jinwen Hu, Yan Zhu, Jieling Liu, Zizheng Li, Yuyang Chen, Yukun Guo and Yifei Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Access.

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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