Aimin Yang

2.7k citations
108 papers · 1.8k · 1 hit paper · h-index 22

Impact in

Papers in

Aimin Yang

98 papers receiving 1.7k citations

Aimin Yang's Hit Papers

A survey on big data-enabled innovative online education systems during the COVID-19 pandemic 2022 · 74 citations
740+1+2Years since publication204060

Peers

Aimin Yang
Comparison fields: 5 of 168
  • Artificial Intelligence 455
  • Health Informatics 18
  • Business and International Management 25
  • Computer Networks and Communications 279
  • Signal Processing 126
Replace Xin Guan with:
Xin Guan China
Mehdi Gheisari China
Bhekisipho Twala South Africa
Dharmendra Singh Rajput India
Jianwei Zhao China
Liang Qiao China
Rajesh Kaluri India
Muhammad Shoaib Pakistan
Korhan Cengiz Türkiye
Bin Cao China
Aimin Yang relative to Xin Guan China Xin Guan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aimin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Aimin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019164
2 201989
3 202386
4 202286
5 201985
6 202081
7
A survey on big data-enabled innovative online education systems during the COVID-19 pandemic
Hit paper breakdown →
202274
8 201963
9 201960
10 201759
11 200558
12 201855
13 201854
14 201834
15 201433
16 201931
17 201931
18 202230
19 202027
20 201925

About Aimin Yang

Aimin Yang is a scholar working on Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Iron and Steelmaking Processes (14 papers), Mineral Processing and Grinding (8 papers), Physical Activity and Education Research (6 papers), Network Security and Intrusion Detection (6 papers), Metallurgical Processes and Thermodynamics (6 papers), Machine Learning and ELM (5 papers), Video Surveillance and Tracking Methods (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Artificial Intelligence (455 citations), Health Informatics (18 citations), Business and International Management (25 citations), Computer Networks and Communications (279 citations) and Signal Processing (126 citations). Aimin Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chunying Zhang, Huixiang Liu, Yang Han, Jie Li, Zezhong Ma, Liya Wang, Xiaolei Yang, Hanliang Fu, Gunasekaran Manogaran and Song Jiang. Their work appears in journals such as IEEE Access, Future Generation Computer Systems, Alexandria Engineering Journal, IEEE Internet of Things Journal and IEEE Transactions on Intelligent Transportation Systems.

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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