Ke Yan

4.7k total citations · 1 hit paper
18 papers, 3.1k citations indexed

About

Ke Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Ke Yan has authored 18 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Ke Yan's work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (8 papers) and Advanced Neural Network Applications (6 papers). Ke Yan is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (8 papers) and Advanced Neural Network Applications (6 papers). Ke Yan collaborates with scholars based in China, United States and Israel. Ke Yan's co-authors include Rahul Sukthankar, Martial Hebert, Feiyue Huang, Xiaowei Guo, Junlong Du, Yi Xin, Shouhong Ding, Yifan Zhao, Jia Li and Yonghong Tian and has published in prestigious journals such as Psychophysiology, IEEE Transactions on Multimedia and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Ke Yan

17 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PCA-SIFT: a more distinctive representation for local image descriptors

2004 2.2k citations Ke Yan, Rahul Sukthankar profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ke Yan China	10	2.8k	1.0k	525	332	182	18	3.1k
Longyin Wen China	27	2.4k 0.8×	508 0.5×	554 1.1×	192 0.6×	216 1.2×	49	2.8k
Robert Laganière Canada	24	1.9k 0.7×	759 0.7×	350 0.7×	777 2.3×	219 1.2×	133	2.7k
Jorge Sánchez Argentina	9	2.5k 0.9×	460 0.4×	712 1.4×	465 1.4×	141 0.8×	20	2.9k
Frédéric Jurie France	26	3.9k 1.4×	824 0.8×	589 1.1×	693 2.1×	460 2.5×	87	4.4k
Hassan Foroosh United States	22	1.7k 0.6×	358 0.3×	604 1.2×	218 0.7×	264 1.5×	135	2.4k
Anthony Dick Australia	27	3.1k 1.1×	644 0.6×	1.1k 2.1×	158 0.5×	92 0.5×	83	3.6k
Boris Babenko United States	13	3.4k 1.2×	495 0.5×	463 0.9×	397 1.2×	111 0.6×	14	3.7k
Margret Keuper Germany	11	2.3k 0.8×	296 0.3×	430 0.8×	304 0.9×	137 0.8×	35	2.6k

Countries citing papers authored by Ke Yan

Since Specialization

Citations

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

Fields of papers citing papers by Ke Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Yan. A scholar is included among the top collaborators of Ke 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 Ke Yan. Ke Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Xin, Yi, et al.. (2024). MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 16076–16084. 40 indexed citations

2.

Yan, Ke, et al.. (2024). Bilateral Adaptive Cross-Modal Fusion Prompt Learning for CLIP. 9001–9009. 1 indexed citations

3.

Xin, Yi, et al.. (2024). VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 16085–16093. 33 indexed citations

4.

Yan, Hong, et al.. (2024). ProAug: Prototype-Based Augmentation for Long-Tailed Image Classification. 3035–3039.

5.

Tang, Fan, Xingjia Pan, Juan Cao, et al.. (2023). ${A^{2}Pt}$: Anti-Associative Prompt Tuning for Open Set Visual Recognition. IEEE Transactions on Multimedia. 26. 8419–8431. 4 indexed citations

6.

Pan, Xingjia, et al.. (2023). Inter-image Contrastive Consistency for Multi-Person Pose Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3063–3071. 2 indexed citations

7.

Yan, Ke, et al.. (2023). HODN: Disentangling Human-Object Feature for HOI Detection. IEEE Transactions on Multimedia. 26. 3125–3136. 5 indexed citations

8.

Du, Junlong, et al.. (2023). Seeing in Flowing: Adapting CLIP for Action Recognition with Motion Prompts Learning. 5339–5347. 9 indexed citations

9.

Han, Jiaming, Yuqiang Ren, Jian Ding, et al.. (2022). Expanding Low-Density Latent Regions for Open-Set Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9581–9590. 40 indexed citations

10.

Yan, Ke, et al.. (2022). Location-Free Human Pose Estimation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13127–13136. 4 indexed citations

11.

Yan, Ke, et al.. (2021). Transformer-based Dual Relation Graph for Multi-label Image Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 163–172. 62 indexed citations

12.

Zhao, Yifan, et al.. (2021). Heterogeneous Relational Complement for Vehicle Re-identification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 205–214. 46 indexed citations

13.

Yang, Nan, et al.. (2020). Attentional capture by a color singleton is stronger at spatially relevant than irrelevant locations: Evidence from an ERP study. Psychophysiology. 57(10). e13640–e13640. 7 indexed citations

14.

Yang, Fan, Ke Yan, Shijian Lu, et al.. (2020). Part-aware Progressive Unsupervised Domain Adaptation for Person Re-Identification. IEEE Transactions on Multimedia. 23. 1681–1695. 71 indexed citations

15.

Yan, Ke, et al.. (2017). Deep hashing with multi-task learning for large-scale instance-level vehicle search. 192–197. 4 indexed citations

16.

Yan, Ke, Rahul Sukthankar, & Martial Hebert. (2007). Event Detection in Crowded Videos. Figshare. 1–8. 250 indexed citations

17.

Yan, Ke, Rahul Sukthankar, & Martial Hebert. (2005). Efficient visual event detection using volumetric features. Figshare. 166–173 Vol. 1. 354 indexed citations

18.

Yan, Ke & Rahul Sukthankar. (2004). PCA-SIFT: a more distinctive representation for local image descriptors. 2. 506–513. 2194 indexed citations breakdown →

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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