Liang Wang

2.2k citations
131 papers · 1.6k indexed · 1 hit paper · h-index 21
Topics
Statistical Distribution Estimation and Applications (86 papers)Probabilistic and Robust Engineering Design (70 papers)Reliability and Maintenance Optimization (28 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
Partner nations
ChinaIndiaUnited States

In The Last Decade

Liang Wang

114 papers receiving 1.6k citations

Hit Papers

Flexible Capacitive Pressure Sensor Enhanced by Tilted Mi...20192026202120232019100200300

Peers

Liang Wang
Comparison fields: 5 of 113
  • Statistics and Probability 602
  • Biomedical Engineering 477
  • Statistics, Probability and Uncertainty 455
  • Electrical and Electronic Engineering 424
  • Cognitive Neuroscience 230
Replace Lanqing Hong with:
Lanqing Hong China
Ran Jin United States
Michael H. Azarian United States
Dawei Huang China
Diganta Das United States
Jiajie Fan China
S. M. Taheri Iran
Dong Xiang United States
Xiaofei Zhang China
Tian Wang China
Liang Wang relative to Lanqing Hong China Lanqing Hong's profile →
Citations per field
00.5×10×15×18×
Lanqing Hong · 1×
Citations per year

Countries citing papers authored by Liang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Wang. A scholar is included among the top collaborators of Liang Wang 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 Liang Wang. Liang Wang 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 1
3 0
4 1
5 7
6 1
7 7
8 6
9 7
10 22
11 5
12 4
13 5
14 6
15 7
16 11
17 31
18 19
19 6
20 1

About Liang Wang

Liang Wang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 131 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (86 papers), Probabilistic and Robust Engineering Design (70 papers) and Reliability and Maintenance Optimization (28 papers). The work is most often cited by research in Statistics and Probability (602 citations), Statistics, Probability and Uncertainty (455 citations) and Safety, Risk, Reliability and Quality (205 citations). Liang Wang has collaborated with scholars based in China, India and United States. Frequent co-authors include Yogesh Mani Tripathi, Xiangming Li, Xiaoliang Chen, Hongmiao Tian, Yongsong Luo, Jinyou Shao, Bingheng Lu, Duorui Wang, Shouren Chen and Min Sheng. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

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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