Yang Song

5.1k citations
158 papers · 3.8k indexed · 1 hit paper · h-index 34
Topics
Electrical Contact Performance and Analysis (78 papers)Railway Engineering and Dynamics (66 papers)Railway Systems and Energy Efficiency (51 papers)

In The Last Decade

Yang Song

135 papers receiving 3.7k citations

Hit Papers

Beyond Inferring Class Representatives: User-Level Privac...20192026202120232019100200300400500

Peers

Yang Song
Comparison fields: 5 of 148
  • Mechanical Engineering 1.8k
  • Industrial and Manufacturing Engineering 1.0k
  • Artificial Intelligence 690
  • Mechanics of Materials 595
  • Electrical and Electronic Engineering 410
Replace Feng Bin with:
Feng Bin China
Yan Cao China
Shilong Wang China
Xiaojie Guo China
David Shan‐Hill Wong Taiwan
Ruonan Liu China
Juanjuan Shi China
Le Yao China
Fangming Liu China
Babu Joseph United States
Yang Song relative to Feng Bin China Feng Bin's profile →
Citations per field
00.5×10×13.0×
Feng Bin · 1×
Citations per year

Countries citing papers authored by Yang Song

Since Specialization
Citations

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

Fields of papers citing papers by Yang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Song. A scholar is included among the top collaborators of Yang Song 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 Yang Song. Yang Song 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 3
4 0
5 2
6 1
7 1
8 1
9 3
10 18
11 1
12 14
13 6
14 11
15 12
16 19
17 194
18 48
19 1
20
Research of Chinese Continuous Digital Speech Input System Based on HTK
1

About Yang Song

Yang Song is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and General Engineering, having authored 158 papers that have together received 3.8k indexed citations. Recurring topics across this work include Electrical Contact Performance and Analysis (78 papers), Railway Engineering and Dynamics (66 papers) and Railway Systems and Energy Efficiency (51 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.0k citations), Mechanical Engineering (1.8k citations) and Inorganic Chemistry (382 citations). Yang Song has collaborated with scholars based in China, Norway and United Kingdom. Frequent co-authors include Zhigang Liu, Hongrui Wang, Xiaobing Lu, Zhibo Wang, Qian Wang, Hairong Qi, Zhifei Zhang, Mengkai Song, Petter Nåvik and Fuchuan Duan. Their work appears in journals such as Journal of Power Sources, Chemical Communications and Chemical Engineering Journal.

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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