Jingyan Song

912 citations
63 papers · 664 indexed · h-index 14

Jingyan Song

60 papers receiving 625 citations

Peers

Jingyan Song
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 281
  • Acoustics and Ultrasonics 12
  • Control and Systems Engineering 303
  • Aerospace Engineering 207
  • Computer Networks and Communications 95
Replace Ignácio Bravo with:
Ignácio Bravo Spain
Yunpeng Zhang China
Feng Su China
Xinhan Huang China
Sen Wang China
Héctor H. González-Baños United States
Omead Amidi United States
Matthias Faessler Switzerland
Vandi Verma United States
Israel Cruz-Vega Mexico
Jingyan Song relative to Ignácio Bravo Spain Ignácio Bravo's profile →
Citations per field
00.5×4.9×
Ignácio Bravo · 1×
Citations per year

Countries citing papers authored by Jingyan Song

Since Specialization
Citations

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

Fields of papers citing papers by Jingyan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jingyan Song, 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 Jingyan Song Line = papers co-authored together Jingyan Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202425
3 202220
4 201934
5 201737
6 20131
7 201364
8 20131
9 20127
10 201216
11
Path planning for nonholonomic mobile robots using artificial potential field method
20109
12 201013
13
A hybrid path planning method for partly unknown environment
20095
14 20093
15 200910
16 20091
17
Research on Cooperative Mission Planning of Multiple UAVs
20085
18 20081
19
Image Registration Based on Corner Detection Method
20071
20 20051

About Jingyan Song

Jingyan Song is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Acoustics and Ultrasonics, having authored 63 papers that have together received 664 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (15 papers), Robotics and Sensor-Based Localization (13 papers), Adaptive Control of Nonlinear Systems (10 papers), Fault Detection and Control Systems (8 papers), Control and Dynamics of Mobile Robots (8 papers), Space Satellite Systems and Control (8 papers), Distributed Control Multi-Agent Systems (6 papers) and Inertial Sensor and Navigation (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Acoustics and Ultrasonics (12 citations) and Control and Systems Engineering (303 citations). Jingyan Song has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Tao Zhang, Yi Zhu, Yeung Yam, Qiang Meng, Xiang Gao, Jingfeng He, Michael R. Lyu, Yu Zou, Shouyu Cai and Yicheng Liu. Their work appears in journals such as Nature Communications, IEEE Transactions on Automatic Control and Optics Express.

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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