Yi Sun

2.4k citations
96 papers · 1.8k · h-index 22

Impact in

Papers in

Yi Sun

93 papers receiving 1.7k citations

Peers

Yi Sun
Comparison fields: 5 of 122
  • Software 375
  • Computer Vision and Pattern Recognition 688
  • Pharmaceutical Science 149
  • Experimental and Cognitive Psychology 292
  • Information Systems 453
Replace Christian R. Shelton with:
Christian R. Shelton United States
Yuan Qi China
Debasis Samanta India
Alan Smaill United Kingdom
Wenyu Wang China
David F. Bacon United States
Dan Grossman United States
Alan Shaw United States
Renato De Mori Canada
Keith Marzullo United States
Yi Sun relative to Christian R. Shelton United States Christian R. Shelton's profile →
Citations per field
00.5×2×4×5.4×
Christian R. Shelton · 1×
Citations per year

Countries citing papers authored by Yi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008370
2 2011141
3 2014132
4 200896
5 200980
6 201062
7 201762
8 201256
9 202250
10 200847
11 200838
12 201129
13 201128
14 201828
15 200927
16 201027
17 200926
18 202023
19 200423
20 201022

About Yi Sun

Yi Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pharmaceutical Science, Molecular Biology and Information Systems, having authored 96 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (18 papers), Machine Learning in Bioinformatics (14 papers), Genomics and Chromatin Dynamics (12 papers), Face and Expression Recognition (11 papers), Face recognition and analysis (9 papers), RNA and protein synthesis mechanisms (8 papers), Software Engineering Research (7 papers) and Imbalanced Data Classification Techniques (7 papers). The work is most often cited by research in Software (375 citations), Computer Vision and Pattern Recognition (688 citations), Pharmaceutical Science (149 citations), Experimental and Cognitive Psychology (292 citations) and Information Systems (453 citations). Yi Sun has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Lijun Yin, David Bowes, Xiaochen Chen, Michael Reale, Neil Davey, Bruce Christianson, David Gray, Norman E. Davey, Gary P. Moss and Min Zhang. Their work appears in journals such as Journal of Pharmacy and Pharmacology, IEEE Transactions on Knowledge and Data Engineering, Monthly Notices of the Royal Astronomical Society, Applied Soft Computing and Lecture notes in computer science.

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.

Explore authors with similar magnitude of impact