Justin Li

684 citations
34 papers · 475 indexed · 2 hit papers · h-index 11
Topics
AI-based Problem Solving and Planning (3 papers)Advanced Sensor and Energy Harvesting Materials (3 papers)Topic Modeling (2 papers)

In The Last Decade

Justin Li

29 papers receiving 466 citations

Hit Papers

Permanent fluidic magnets for liquid bioelectronics20242026202520242024255075

Peers

Justin Li
Comparison fields: 5 of 120
  • Biomedical Engineering 177
  • Electrical and Electronic Engineering 91
  • Materials Chemistry 77
  • Polymers and Plastics 54
  • Cognitive Neuroscience 47
Replace Hao Lu with:
Hao Lu China
Seokmin Lee South Korea
Po‐Chen Lin Taiwan
Audrey M. Johnson United States
Joshua Blair United States
Daniel Guldenring United Kingdom
Jiahui Xu China
Danli Shi China
Louis Blankemeier United States
Toshiki Suzuki Japan
Justin Li relative to Hao Lu China Hao Lu's profile →
Citations per field
00.5×4.1×
Hao Lu · 1×
Citations per year

Countries citing papers authored by Justin Li

Since Specialization
Citations

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

Fields of papers citing papers by Justin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Li. A scholar is included among the top collaborators of Justin 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 Justin Li. Justin 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 0
3
Permanent fluidic magnets for liquid bioelectronicsbreakdown →
92
4 32
5
A multimodal magnetoelastic artificial skin for underwater haptic sensingbreakdown →
75
6 0
7 14
8 2
9 2
10 11
11 5
12 11
13 4
14 10
15 3
16 4
17 2
18 4
19
Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions
1
20 17

About Justin Li

Justin Li is a scholar working on Geriatrics and Gerontology, Obstetrics and Gynecology and Ecological Modeling, having authored 34 papers that have together received 475 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Geriatrics and Gerontology (38 citations), Family Practice (16 citations) and Emergency Medical Services (32 citations). Justin Li has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Xun Zhao, Jun Chen, Yihao Zhou, Jing Xu, Guorui Chen, Trinny Tat, Song Li, Yang Song, Saad Intikhab and Joshua Snyder. Their work appears in journals such as Nature Materials, Blood and PLoS ONE.

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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