Minghui Sun

2.0k citations
108 papers · 1.4k indexed · h-index 21

Impact in

Papers in

Minghui Sun

97 papers receiving 1.4k citations

Peers

Minghui Sun
Comparison fields: 5 of 173
  • Human-Computer Interaction 131
  • Computer Vision and Pattern Recognition 253
  • Infectious Diseases 155
  • Artificial Intelligence 219
  • Transportation 43
Replace Francisco Javier Díaz Pernas with:
Francisco Javier Díaz Pernas Spain
Rula A. Hamid Iraq
Z.T. Al-Qaysi Iraq
K. I. Mohammed Malaysia
Muhammad Nazrul Islam Bangladesh
Kia Dashtipour United Kingdom
Jessilyn Dunn United States
Jwan K. Alwan Iraq
Dewar Finlay United Kingdom
Leila Shahmoradi Iran
Minghui Sun relative to Francisco Javier Díaz Pernas Spain Francisco Javier Díaz Pernas's profile →
Citations per field
00.5×1.5×2.1×
Francisco Javier Díaz Pernas · 1×
Citations per year

Countries citing papers authored by Minghui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20253
3 20250
4 20250
5 20240
6 20242
7 20241
8 202316
9 20235
10 20231
11 20222
12 20208
13 20206
14 201916
15 20192
16 20175
17 201741
18 201459
19 20111
20 201129

About Minghui Sun

Minghui Sun is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research and Cognitive Neuroscience, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (17 papers), Interactive and Immersive Displays (15 papers), Tactile and Sensory Interactions (14 papers), Data Quality and Management (10 papers), Visual Attention and Saliency Detection (7 papers), Data Mining Algorithms and Applications (7 papers), Augmented Reality Applications (7 papers) and Gaze Tracking and Assistive Technology (7 papers). The work is most often cited by research in Human-Computer Interaction (131 citations), Computer Vision and Pattern Recognition (253 citations), Infectious Diseases (155 citations), Artificial Intelligence (219 citations) and Transportation (43 citations). Minghui Sun has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Chris Ryan, Guohai Su, Steve Pan, Limin Wang, Yanhua Liang, Guihe Qin, Qian Lin, Jie Yan, Yue Xi and Jing Luo. Their work appears in journals such as IEEE Access, Neurocomputing, Nutrients, Knowledge-Based Systems and International Journal of Environmental Research and Public Health.

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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