Liangming Wang

453 citations
48 papers · 312 · h-index 8

Impact in

Papers in

Liangming Wang

37 papers receiving 301 citations

Peers

Liangming Wang
Comparison fields: 5 of 83
  • Computer Networks and Communications 100
  • Signal Processing 26
  • Information Systems 48
  • Artificial Intelligence 61
  • Computer Vision and Pattern Recognition 36
Replace Xiaohui Chang with:
Xiaohui Chang China
Wan Siti Halimatul Munirah Wan Ahmad Malaysia
Junhua Gu China
Ivan Stojković United States
Edwin Vans Fiji
Dhirendra Pratap Singh India
Nadhem Nemri Saudi Arabia
Donghwan Lee South Korea
Yuzhen Ding China
Liangming Wang relative to Xiaohui Chang China Xiaohui Chang's profile →
Citations per field
00.5×2×4×6×8×
Xiaohui Chang · 1×
Citations per year

Countries citing papers authored by Liangming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liangming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 201972
3 201815
4 202115
5 201613
6 202211
7 202211
8 20249
9 20158
10 20197
11 20257
12 20155
13 20195
14 20215
15
Study on Angular Motion Characteristics of Spin-stabilized 2D Trajectory Correction Projectile under the Effect of Fixed Canards
20175
16 20235
17 20225
18 20194
19 20204
20 20254

About Liangming Wang

Liangming Wang is a scholar working on Aerospace Engineering, Control and Systems Engineering, Information Systems, Artificial Intelligence and Computational Mechanics, having authored 48 papers that have together received 312 indexed citations. Recurring topics across this work include Guidance and Control Systems (15 papers), Adaptive Control of Nonlinear Systems (7 papers), Electromagnetic Launch and Propulsion Technology (6 papers), Advanced Measurement and Detection Methods (5 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Cloud Data Security Solutions (4 papers), Control and Dynamics of Mobile Robots (3 papers) and Sports Dynamics and Biomechanics (3 papers). The work is most often cited by research in Computer Networks and Communications (100 citations), Signal Processing (26 citations), Information Systems (48 citations), Artificial Intelligence (61 citations) and Computer Vision and Pattern Recognition (36 citations). Liangming Wang has collaborated with scholars based in China, United Arab Emirates and Singapore. Frequent co-authors include Fagui Liu, Liquan Cai, Xiaolu Zhang, Mou Chen, Jian Bo Fu, Jianneng Cao, Dianshan Ke, Xiaochun Bai, Liangliang An and Xiaoming Bai. Their work appears in journals such as Sensors, APOPTOSIS, AIP Advances, Frontiers in Cell and Developmental Biology and The Journal of Knee Surgery.

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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