Liangmo Wang

410 citations
12 papers · 353 · h-index 7

Impact in

Papers in

Liangmo Wang

12 papers receiving 346 citations

Peers

Liangmo Wang
Comparison fields: 5 of 23
  • Automotive Engineering 330
  • Electrical and Electronic Engineering 244
  • Fluid Flow and Transfer Processes 16
  • Control and Systems Engineering 44
  • Mechanical Engineering 63
Replace Dafeng Song with:
Dafeng Song China
Qiuhao Hu United States
Yiqiang Xu China
Namdoo Kim United States
Laura V. Pérez Argentina
Hassan Nehzati Iran
Fabio Viotto United Kingdom
Jongryeol Jeong South Korea
Mingjun Zha China
Ahmed Mohamed Ali Egypt
Liangmo Wang relative to Dafeng Song China Dafeng Song's profile →
Citations per field
00.5×2×2.7×
Dafeng Song · 1×
Citations per year

Countries citing papers authored by Liangmo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liangmo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Liangmo Wang, 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 Liangmo Wang Line = papers co-authored together Liangmo Wang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201686
2 201762
3 201649
4 201648
5 201938
6 201927
7 202025
8 20147
9 20194
10 20183
11 20153
12 20151

About Liangmo Wang

Liangmo Wang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Civil and Structural Engineering and Control and Systems Engineering, having authored 12 papers that have together received 353 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (11 papers), Electric Vehicles and Infrastructure (7 papers), Advanced Battery Technologies Research (6 papers), Mechanical Engineering and Vibrations Research (3 papers), Vehicle Dynamics and Control Systems (2 papers), Gear and Bearing Dynamics Analysis (2 papers), Vehicle emissions and performance (1 paper) and Vibration Control and Rheological Fluids (1 paper). The work is most often cited by research in Automotive Engineering (330 citations), Electrical and Electronic Engineering (244 citations), Fluid Flow and Transfer Processes (16 citations), Control and Systems Engineering (44 citations) and Mechanical Engineering (63 citations). Liangmo Wang has collaborated with scholars based in China and United States. Frequent co-authors include Weichao Zhuang, Xiaowu Zhang, Huei Peng, Guodong Yin, Fei Ju, Daofei Li, Huei Peng, Zhe Zhang, Jin Ye and Zhao Ye. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Energy, Applied Energy, IEEE Transactions on Control Systems Technology and IEEE/ASME Transactions on Mechatronics.

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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