Junrui Liang

3.9k citations
159 papers · 3.0k · h-index 30

Impact in

Papers in

Junrui Liang

149 papers receiving 3.0k citations

Peers

Junrui Liang
Comparison fields: 5 of 76
  • Mechanical Engineering 2.1k
  • Biomedical Engineering 1.6k
  • Electrical and Electronic Engineering 1.9k
  • Nuclear Energy and Engineering 10
  • Civil and Structural Engineering 367
Replace Weiyang Qin with:
Weiyang Qin China
Hong‐Xiang Zou China
Steven R. Anton United States
Bernard H. Stark United Kingdom
Hailing Fu United Kingdom
Lin‐Chuan Zhao China
Xiaobiao Shan China
Zhongjie Li China
Mir Behrad Khamesee Canada
Nan Wu Canada
Junrui Liang relative to Weiyang Qin China Weiyang Qin's profile →
Citations per field
00.5×1.5×2.2×
Weiyang Qin · 1×
Citations per year

Countries citing papers authored by Junrui Liang

Since Specialization
Citations

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

Fields of papers citing papers by Junrui Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011256
2 2011190
3 2018178
4 2021154
5 2019122
6 2021117
7 2010115
8 200889
9 202073
10 201869
11 201867
12 202067
13 202065
14 201656
15 202153
16 202241
17 202041
18 201940
19 202238
20 202037

About Junrui Liang

Junrui Liang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, Civil and Structural Engineering and Automotive Engineering, having authored 159 papers that have together received 3.0k indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (102 papers), Energy Harvesting in Wireless Networks (94 papers), Advanced Sensor and Energy Harvesting Materials (68 papers), Wireless Power Transfer Systems (47 papers), Advanced DC-DC Converters (20 papers), Advanced Battery Technologies Research (10 papers), Advanced Power Amplifier Design (9 papers) and Multilevel Inverters and Converters (7 papers). The work is most often cited by research in Mechanical Engineering (2.1k citations), Biomedical Engineering (1.6k citations), Electrical and Electronic Engineering (1.9k citations), Nuclear Energy and Engineering (10 citations) and Civil and Structural Engineering (367 citations). Junrui Liang has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Wei‐Hsin Liao, Lihua Tang, Guobiao Hu, Haoyu Wang, Minfan Fu, Yabin Liao, Bao Zhao, Xin Li, Junlei Wang and Li Teng. Their work appears in journals such as IEEE Transactions on Power Electronics, Journal of Intelligent Material Systems and Structures, Smart Materials and Structures, IEEE Transactions on Industrial Electronics and IEEE Journal of Emerging and Selected Topics in Power Electronics.

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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