Hai Li

494 citations
22 papers · 368 indexed · 1 hit paper · h-index 11
Topics
Advanced Sensor and Energy Harvesting Materials (18 papers)Conducting polymers and applications (11 papers)Tactile and Sensory Interactions (5 papers)
Partner nations
South KoreaChinaIndia

In The Last Decade

Hai Li

20 papers receiving 362 citations

Hit Papers

PEDOTs‐Based Conductive Hydrogels: Design, Fabrications, ...2024202620252024255075

Peers

Hai Li
Comparison fields: 5 of 43
  • Biomedical Engineering 320
  • Polymers and Plastics 171
  • Mechanical Engineering 72
  • Electrical and Electronic Engineering 63
  • Cognitive Neuroscience 57
Replace Veenasri Vallem with:
Veenasri Vallem United States
Junfeng Cao China
Wanqiu Zhu China
Xian Song China
Evelyn Chalmers United Kingdom
Yanlong Tai China
Ziyao Xu China
Mei Ying Teo New Zealand
Bangze Zhou China
Seokjoo Cho South Korea
Hai Li relative to Veenasri Vallem United States Veenasri Vallem's profile →
Citations per field
00.5×
Veenasri Vallem · 1×
Citations per year

Countries citing papers authored by Hai Li

Since Specialization
Citations

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

Fields of papers citing papers by Hai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Li. A scholar is included among the top collaborators of Hai Li 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 Hai Li. Hai Li 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 2
4 7
5 0
6 30
7 6
8
PEDOTs‐Based Conductive Hydrogels: Design, Fabrications, and Applicationsbreakdown →
76
9 33
10 10
11 38
12 27
13 12
14 9
15 28
16 50
17 16
18
Optical Fiber Coupling of Light-Emitting Diode Induced Fluorescence Detection for Microchip Electrophoresis
1
19
On Productivity Evaluation Method for Sand Reservoir With Free Fluid Porosity
1
20
PREDICTION OF INTER-WELL FRACTURES WITH FRACTAL TECHNIQUE
2

About Hai Li

Hai Li is a scholar working on Polymers and Plastics, Biomedical Engineering and Cognitive Neuroscience, having authored 22 papers that have together received 368 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (18 papers), Conducting polymers and applications (11 papers) and Tactile and Sensory Interactions (5 papers). The work is most often cited by research in Polymers and Plastics (171 citations), Biomedical Engineering (320 citations) and Cognitive Neuroscience (57 citations). Hai Li has collaborated with scholars based in South Korea, China and India. Frequent co-authors include Sooman Lim, Rongtai Wan, Jingkun Xu, Baoyang Lu, Vivian R. Feig, Ghuzanfar Saeed, Jie Cao, Christina M. Tringides, Hyunwoo Yuk and Jae‐Wook Kang. Their work appears in journals such as Advanced Materials, Advanced Functional Materials and Chemical Engineering Journal.

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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