Mingchui Dong

39 papers receiving 528 citations

Peers

Mingchui Dong
Comparison fields: 5 of 97
  • Biochemistry 78
  • Drug Discovery 2
  • Pharmacology 100
  • Cardiology and Cardiovascular Medicine 115
  • Signal Processing 54
Replace Aftab Ali with:
Aftab Ali United Kingdom
Pham The Bao Vietnam
G. Suresh India
Md. Sabir Hossain Bangladesh
Jeong-Oog Lee South Korea
Zhibin Xiao China
K. Sangeetha India
Wanhua Li China
Richard Cimler Czechia
Hongli Yan China
Mingchui Dong relative to Aftab Ali United Kingdom Aftab Ali's profile →
Citations per field
00.5×2.9×
Aftab Ali · 1×
Citations per year

Countries citing papers authored by Mingchui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Mingchui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007241
2 201497
3 201331
4 200722
5 201617
6 200515
7 200813
8 200512
9 200911
10 20149
11 20059
12 20068
13 20148
14 20138
15 20147
16 20137
17 20107
18 20146
19 20145
20 20075

About Mingchui Dong

Mingchui Dong is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Biomedical Engineering, Pulmonary and Respiratory Medicine and Health Information Management, having authored 47 papers that have together received 579 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (16 papers), Phonocardiography and Auscultation Techniques (8 papers), Wireless Body Area Networks (5 papers), Natural Language Processing Techniques (5 papers), Non-Invasive Vital Sign Monitoring (5 papers), Artificial Intelligence in Healthcare (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Biochemistry (78 citations), Drug Discovery (2 citations), Pharmacology (100 citations), Cardiology and Cardiovascular Medicine (115 citations) and Signal Processing (54 citations). Mingchui Dong has collaborated with scholars based in Macao, China and Germany. Frequent co-authors include Jiali Ma, Xinmin Liu, Xuan Chen, Min Jiang, Guijun Yan, Xuejiao Lv, Tan‐Tan Zhang, Bing Nan Li, Ping Yang and Sam Chao. Their work appears in journals such as Tsinghua Science & Technology, Expert Systems with Applications, Annals of Human Genetics, Artificial intelligence for engineering design analysis and manufacturing and Multimedia Tools and Applications.

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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