Jiaming Li

1.8k citations
44 papers · 1.3k · 1 hit paper · h-index 18

Impact in

Papers in

Jiaming Li

43 papers receiving 1.2k citations

Jiaming Li's Hit Papers

Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity 2020 · 207 citations
2070+2+4Years since publication50100150200

Peers

Jiaming Li
Comparison fields: 5 of 115
  • Artificial Intelligence 494
  • Building and Construction 158
  • Signal Processing 123
  • Neurology 88
  • Health Information Management 42
Replace Anurag Shrivastava with:
Anurag Shrivastava India
Shitharth Selvarajan India
Sang-Woong Lee South Korea
Amel Ali Alhussan Saudi Arabia
In-Ho Ra South Korea
K. Venkatachalam Czechia
Mohammad Dahman Alshehri Saudi Arabia
Sultan S. Alshamrani Saudi Arabia
Rozaida Ghazali Malaysia
Tuong Le Vietnam
Jiaming Li relative to Anurag Shrivastava India Anurag Shrivastava's profile →
Citations per field
00.5×10×15.2×
Anurag Shrivastava · 1×
Citations per year

Countries citing papers authored by Jiaming Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiaming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
Hit paper breakdown →
2020207
2 2016143
3 2020122
4 200987
5 202168
6 201762
7 201552
8 201852
9 201450
10
A Smart Fridge with an Ability to Enhance Health and Enable Better Nutrition
200937
11 201233
12 201326
13 202022
14 201621
15 201021
16 201920
17 202019
18 201218
19
Indoor air quality control of HVAC system
201017
20
Power decomposition based on SVM regression
201215

About Jiaming Li

Jiaming Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Neurology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smart Grid Energy Management (11 papers), Energy Load and Power Forecasting (10 papers), Brain Tumor Detection and Classification (6 papers), Building Energy and Comfort Optimization (6 papers), Medical Image Segmentation Techniques (5 papers), Microgrid Control and Optimization (4 papers), Wind and Air Flow Studies (4 papers) and Smart Grid Security and Resilience (3 papers). The work is most often cited by research in Artificial Intelligence (494 citations), Building and Construction (158 citations), Signal Processing (123 citations), Neurology (88 citations) and Health Information Management (42 citations). Jiaming Li has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Suhuai Luo, Glenn Platt, Kamran Shaukat, Ibrahim A. Hameed, Josh Wall, John Ward, Shan Chen, Dongxi Liu, Vijay Varadharajan and L. Collins. Their work appears in journals such as Energies, Renewable Energy, Energy and Buildings, Forests and Sensors and Actuators B Chemical.

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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