Junchi Yan

17.2k total citations · 10 hit papers
267 papers, 8.7k citations indexed

About

Junchi Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Junchi Yan has authored 267 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Computer Vision and Pattern Recognition, 117 papers in Artificial Intelligence and 26 papers in Signal Processing. Recurrent topics in Junchi Yan's work include Advanced Image and Video Retrieval Techniques (41 papers), Advanced Graph Neural Networks (39 papers) and Advanced Neural Network Applications (38 papers). Junchi Yan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (41 papers), Advanced Graph Neural Networks (39 papers) and Advanced Neural Network Applications (38 papers). Junchi Yan collaborates with scholars based in China, United States and Hong Kong. Junchi Yan's co-authors include Xue Yang, Xiaokang Yang, Hongyuan Zha, Tao He, Zi‐Ming Feng, Aoxiang Fan, Junjun Jiang, Xingyu Jiang, Jiayi Ma and Stephen M. Chu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.

In The Last Decade

Junchi Yan

241 papers receiving 8.5k citations

Hit Papers

R3Det: Refined Single-Stage Detector with Feature Refinem... 2019 2026 2021 2023 2021 2019 2020 2023 2021 200 400 600

Peers

Junchi Yan
Comparison fields: 5 of 181
  • Computer Vision and Pattern Recognition 5.0k
  • Artificial Intelligence 2.4k
  • Aerospace Engineering 1.5k
  • Media Technology 1.3k
  • Signal Processing 672
Replace Quan Pan with:
Quan Pan China
Bin Luo China
Yao Zhao China
Marcello Pelillo Italy
Xiaochun Cao China
Chang Xu China
Shengyong Chen China
Raia Hadsell United States
Jakob Verbeek France
Xiaojun Chang China
Quan Pan China View profile →
Citations per field, relative to Junchi Yan
Junchi Yan · 1×
Citations per year, relative to Junchi Yan
Junchi Yan · 1×

Countries citing papers authored by Junchi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Junchi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junchi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Junchi Yan. A scholar is included among the top collaborators of Junchi Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junchi Yan. Junchi Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 23
6 7
7 0
8 1
9 7
10 2
11 10
12 1
13 29
14 68
15
Deep Latent Graph Matching
4
16 25
17 53
18 65
19 66
20
Generalizing graph matching beyond quadratic assignment model
20

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

Rankless by CCL
2026