Min Li

145 papers receiving 2.5k citations

Min Li's Hit Papers

Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble Learning (RF and XGBoost) 2024 · 47 citations
470+1Years since publication10203040

Peers

Min Li
Comparison fields: 5 of 154
  • Human-Computer Interaction 184
  • Cognitive Neuroscience 642
  • Rehabilitation 209
  • Biomedical Engineering 926
  • Media Technology 154
Replace Anselmo Frizera with:
Anselmo Frizera Brazil
Ravi Vaidyanathan United Kingdom
Hiroshi Kobayashi Japan
Mauro Serpelloni Italy
Chris Melhuish United Kingdom
Sang Wook Lee South Korea
Timothy Bretl United States
Kyle B. Reed United States
Shuo Wang China
Hannes Bleuler Switzerland
Min Li relative to Anselmo Frizera Brazil Anselmo Frizera's profile →
Citations per field
00.5×5.3×
Anselmo Frizera · 1×
Citations per year

Countries citing papers authored by Min Li

Since Specialization
Citations

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

Fields of papers citing papers by Min Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Li, 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 Min Li Line = papers co-authored together Min Li 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 2006161
2 2010126
3 2015124
4 2020111
5 201685
6 201968
7 202364
8 201857
9 201457
10 202055
11 201754
12 201753
13 201953
14 202252
15
Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble Learning (RF and XGBoost)
Hit paper breakdown →
202447
16 201445
17 201742
18 201342
19 201036
20 201436

About Min Li

Min Li is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Mechanical Engineering, Mechanics of Materials and Rehabilitation, having authored 159 papers that have together received 2.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (31 papers), Soft Robotics and Applications (21 papers), Stroke Rehabilitation and Recovery (18 papers), Neuroscience and Neural Engineering (15 papers), Robot Manipulation and Learning (12 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), Tactile and Sensory Interactions (11 papers) and Teleoperation and Haptic Systems (11 papers). The work is most often cited by research in Human-Computer Interaction (184 citations), Cognitive Neuroscience (642 citations), Rehabilitation (209 citations), Biomedical Engineering (926 citations) and Media Technology (154 citations). Min Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guanghua Xu, Jun Xie, Kaspar Althoefer, Zheng Tan, Wei Cai, Sina Sareh, Prokar Dasgupta, Bo He, Hongbin Liu and Lakmal Seneviratne. Their work appears in journals such as IEEE Sensors Journal, PLoS ONE, IEEE Robotics and Automation Letters, Frontiers in Neuroscience and Philosophical magazine. A/Philosophical magazine. A. Physics of condensed matter. Structure, defects and mechanical properties.

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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