Hai Lu Wang

1.0k citations
17 papers · 914 · h-index 15

Impact in

    • Conducting polymers and applications
    • Advanced Sensor and Energy Harvesting Materials
    • Dielectric materials and actuators
    • Muscle activation and electromyography studies

Papers in

Hai Lu Wang

17 papers receiving 906 citations

Peers

Hai Lu Wang
Comparison fields: 5 of 49
  • Polymers and Plastics 376
  • Biomedical Engineering 828
  • Cognitive Neuroscience 316
  • Human-Computer Interaction 58
  • Bioengineering 42
Replace Jimi Eom with:
Jimi Eom South Korea
Xiangwen Zeng China
Wonkyeong Son South Korea
Shen Zhong China
Gwangmook Kim South Korea
Zhihao Huo China
Amir Reuveny Japan
Inhyuk Park South Korea
Wonjeong Suh South Korea
Hai Lu Wang relative to Jimi Eom South Korea Jimi Eom's profile →
Citations per field
00.5×1.5×2.4×
Jimi Eom · 1×
Citations per year

Countries citing papers authored by Hai Lu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hai Lu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020220
2 2021133
3 2022118
4 201971
5 202352
6 202248
7 201948
8 201738
9 201936
10 201931
11 202328
12 202226
13 201921
14 202017
15 202315
16 20239
17 20233

About Hai Lu Wang

Hai Lu Wang is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics, Electrical and Electronic Engineering and Mechanical Engineering, having authored 17 papers that have together received 914 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (16 papers), Tactile and Sensory Interactions (8 papers), Conducting polymers and applications (7 papers), Innovative Energy Harvesting Technologies (3 papers), Interactive and Immersive Displays (2 papers), Neuroscience and Neural Engineering (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Electrowetting and Microfluidic Technologies (1 paper). The work is most often cited by research in Polymers and Plastics (376 citations), Biomedical Engineering (828 citations), Cognitive Neuroscience (316 citations), Human-Computer Interaction (58 citations) and Bioengineering (42 citations). Hai Lu Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhong Lin Wang, Guang Zhu, Zi Hao Guo, Xiong Pu, Hua Yang Li, Ying Wang, Shuang Yang Kuang, Fei Liang, You Fan and Jinwei Cao. Their work appears in journals such as Small, ACS Nano, Advanced Functional Materials, Materials Horizons and Advanced Materials Technologies.

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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