Fangmin Sun

35 papers receiving 826 citations

Peers

Fangmin Sun
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 266
  • Human-Computer Interaction 58
  • Computer Vision and Pattern Recognition 199
  • Cognitive Neuroscience 166
  • Biomedical Engineering 369
Replace Se Dong Min with:
Se Dong Min South Korea
Madhuri Panwar India
Paolo Ciampolini Italy
Parastoo Alinia United States
Piotr Augustyniak Poland
Dan Istrate France
Iqram Hussain South Korea
Heike Leutheuser Germany
Xiaomao Fan China
Stefan Winter Germany
Fangmin Sun relative to Se Dong Min South Korea Se Dong Min's profile →
Citations per field
00.5×1.5×2.1×
Se Dong Min · 1×
Citations per year

Countries citing papers authored by Fangmin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fangmin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018260
2 2020113
3 201888
4 201987
5 202150
6 201749
7 202237
8 201423
9 202023
10 202222
11 20219
12 20128
13 20227
14 20187
15 20136
16 20156
17 20246
18 20175
19 20135
20 20135

About Fangmin Sun

Fangmin Sun is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Human-Computer Interaction, having authored 37 papers that have together received 844 indexed citations. Recurring topics across this work include Wireless Body Area Networks (16 papers), Context-Aware Activity Recognition Systems (12 papers), Non-Invasive Vital Sign Monitoring (8 papers), Gait Recognition and Analysis (8 papers), ECG Monitoring and Analysis (7 papers), Hand Gesture Recognition Systems (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (266 citations), Human-Computer Interaction (58 citations), Computer Vision and Pattern Recognition (199 citations), Cognitive Neuroscience (166 citations) and Biomedical Engineering (369 citations). Fangmin Sun has collaborated with scholars based in China, Italy and United Kingdom. Frequent co-authors include Ye Li, Xiaomao Fan, Yunpeng Cai, Qihang Yao, Fen Miao, Raffaele Gravina, Giancarlo Fortino, Weilin Zang, Qimeng Li and Saeed Hamood Alsamhi. Their work appears in journals such as IEEE Internet of Things Journal, Sensors, Information Fusion, IEEE Transactions on Biomedical Engineering and Computers in Industry.

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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