Yi Shan

3.1k citations
98 papers · 2.0k · 1 hit paper · h-index 21

Impact in

Papers in

Yi Shan

93 papers receiving 1.9k citations

Yi Shan's Hit Papers

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification 2022 · 155 citations
1550+1+2Years since publication50100150

Peers

Yi Shan
Comparison fields: 5 of 126
  • Hardware and Architecture 340
  • Computer Vision and Pattern Recognition 778
  • Media Technology 139
  • Computer Networks and Communications 291
  • Neurology 84
Replace Camel Tanougast with:
Camel Tanougast France
Mohammad I. Daoud Jordan
Cheng Zhuo China
Kaisheng Ma China
Zhen Dong China
Yinan Kong Australia
Tao Luo China
Marian Verhelst Belgium
Shanq-Jang Ruan Taiwan
Cong Liu China
Yi Shan relative to Camel Tanougast France Camel Tanougast's profile →
Citations per field
00.5×1.5×2×2.4×
Camel Tanougast · 1×
Citations per year

Countries citing papers authored by Yi Shan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Hit paper breakdown →
2022155
3 2014133
4 2010128
5 2015107
6 2019103
7 202095
8 201370
9 202163
10 201963
11
Memristor-based approximated computation
201645
12 202344
13 201839
14 201036
15 201433
16 201033
17 202127
18 202027
19 202126
20 202021

About Yi Shan

Yi Shan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (18 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Functional Brain Connectivity Studies (11 papers), Advanced MRI Techniques and Applications (11 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), CCD and CMOS Imaging Sensors (7 papers) and Cerebrovascular and Carotid Artery Diseases (6 papers). The work is most often cited by research in Hardware and Architecture (340 citations), Computer Vision and Pattern Recognition (778 citations), Media Technology (139 citations), Computer Networks and Communications (291 citations) and Neurology (84 citations). Yi Shan has collaborated with scholars based in China, United States and France. Frequent co-authors include Yu Wang, Lu Tian, Huazhong Yang, Jie Lu, Li Wang, Boxun Li, Yiran Chen, Li Dong, Ningyi Xu and Yousong Zhu. Their work appears in journals such as European Radiology, Frontiers in Neurology, Radiology, Neural Plasticity and Frontiers in Neuroscience.

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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