Ivy Lim

8 papers receiving 570 citations

Ivy Lim's Hit Papers

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals 2018 · 305 citations
3050+2+5Years since publication100200300

Peers

Ivy Lim
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 209
  • Renewable Energy, Sustainability and the Environment 166
  • Health Information Management 36
  • Cognitive Neuroscience 135
  • Electrochemistry 29
Replace Junbin Zang with:
Junbin Zang China
Qiao Zhang China
P. Gayathri India
Shasha Zuo China
Rajni Rajni India
Ryosuke Aoki Japan
Sundaram Swaminathan United Arab Emirates
P. Kathirvel India
Kwang Bok Kim South Korea
Deepa Jose India
Ivy Lim relative to Junbin Zang China Junbin Zang's profile →
Citations per field
00.5×10×16.8×
Junbin Zang · 1×
Citations per year

Countries citing papers authored by Ivy Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ivy Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals
Hit paper breakdown →
2018305
2 2008218
3 200530
4 201317
5 20257
6 20252
7 20182
8
Molecularly mediated assembly of nanoparticles towards functional nanostructures
20081

About Ivy Lim

Ivy Lim is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 8 papers that have together received 582 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (3 papers), Advancements in Solid Oxide Fuel Cells (2 papers), Fuel Cells and Related Materials (2 papers), Quantum Dots Synthesis And Properties (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Chemical Synthesis and Characterization (1 paper) and Zeolite Catalysis and Synthesis (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (209 citations), Renewable Energy, Sustainability and the Environment (166 citations), Health Information Management (36 citations), Cognitive Neuroscience (135 citations) and Electrochemistry (29 citations). Ivy Lim has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Yuki Hagiwara, Shu Lih Oh, Jen Hong Tan, Ming Chen, Muhammad Adam, Ru‐San Tan, U. Rajendra Acharya, Chuan‐Jian Zhong, Jin Luo and Lingyan Wang. Their work appears in journals such as ACS Energy Letters, Microporous and Mesoporous Materials, Advanced Materials, Chemistry of Materials and Computers in Biology and Medicine.

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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