J. Andy

3.1k total citations · 1 hit paper
51 papers, 1.5k citations indexed

About

J. Andy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, J. Andy has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in J. Andy's work include Domain Adaptation and Few-Shot Learning (20 papers), Human Pose and Action Recognition (15 papers) and Video Surveillance and Tracking Methods (11 papers). J. Andy is often cited by papers focused on Domain Adaptation and Few-Shot Learning (20 papers), Human Pose and Action Recognition (15 papers) and Video Surveillance and Tracking Methods (11 papers). J. Andy collaborates with scholars based in China, Hong Kong and United States. J. Andy's co-authors include Pong C. Yuen, Jiawei Li, Xiangyuan Lan, Mang Ye, Rama Chellappa, Liang Zheng, Grace Lai–Hung Wong, Baoyao Yang, Terry Cheuk‐Fung Yip and Wei‐Shi Zheng and has published in prestigious journals such as IEEE Transactions on Image Processing, Critical Care Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

J. Andy

49 papers receiving 1.5k 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.

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition

2023 152 citations J. Andy et al. IEEE Transactions on Multimedia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Andy China	19	1.0k	431	274	103	102	51	1.5k
Zequn Jie China	20	1.6k 1.5×	563 1.3×	132 0.5×	40 0.4×	53 0.5×	47	2.0k
Wee Kheng Leow Singapore	20	732 0.7×	464 1.1×	112 0.4×	114 1.1×	73 0.7×	80	1.4k
Gan Sun China	24	892 0.9×	925 2.1×	112 0.4×	102 1.0×	101 1.0×	68	1.7k
Longlong Jing United States	11	824 0.8×	749 1.7×	131 0.5×	212 2.1×	101 1.0×	17	1.6k
Jianqing Zhu China	25	1.4k 1.4×	321 0.7×	152 0.6×	110 1.1×	89 0.9×	97	1.9k
Dongyu Zhang China	15	691 0.7×	487 1.1×	210 0.8×	99 1.0×	65 0.6×	47	1.4k
Jun Kong China	20	837 0.8×	339 0.8×	263 1.0×	38 0.4×	41 0.4×	119	1.2k
Weihao Gan China	16	1.1k 1.1×	677 1.6×	186 0.7×	29 0.3×	113 1.1×	25	1.4k
Qi She Hong Kong	15	779 0.8×	458 1.1×	116 0.4×	52 0.5×	96 0.9×	33	1.3k
Peishu Wu China	18	572 0.6×	442 1.0×	96 0.4×	181 1.8×	42 0.4×	39	1.4k

Countries citing papers authored by J. Andy

Since Specialization

Citations

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

Fields of papers citing papers by J. Andy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Andy

This figure shows the co-authorship network connecting the top 25 collaborators of J. Andy. A scholar is included among the top collaborators of J. Andy 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 J. Andy. J. Andy 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:

20 of 20 papers shown

1.

Peng, Jiawen, et al.. (2025). Vision-Language Adaptive Clustering and Meta-Adaptation for Unsupervised Few-Shot Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 9246–9260.

2.

Wu, Jie, et al.. (2025). DiffusionEngine: Diffusion model is scalable data engine for object detection. Pattern Recognition. 171. 112141–112141. 2 indexed citations

3.

Peng, Jiawen, et al.. (2025). Language-guided Alignment and Distillation for Source-free Domain Adaptation. Neurocomputing. 648. 130501–130501.

4.

Peng, Jiawen, et al.. (2025). Adversarial Style Mixup and Improved Temporal Alignment for Cross-Domain Few-Shot Action Recognition. Computer Vision and Image Understanding. 255. 104341–104341. 2 indexed citations

5.

Wan, Jia, et al.. (2024). Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 713–727. 1 indexed citations

6.

Andy, J., et al.. (2024). Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis. 6420–6429. 7 indexed citations

7.

Shen, Meng, et al.. (2024). MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3900–3908. 7 indexed citations

8.

Gao, Yuan, et al.. (2022). Hierarchical feature disentangling network for universal domain adaptation. Pattern Recognition. 127. 108616–108616. 15 indexed citations

9.

Wong, Grace Lai–Hung, Pong C. Yuen, J. Andy, et al.. (2021). Artificial intelligence in prediction of non‐alcoholic fatty liver disease and fibrosis. Journal of Gastroenterology and Hepatology. 36(3). 543–550. 38 indexed citations

10.

Wang, Jinpeng, Yuting Gao, Ke Li, et al.. (2021). Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning. 11799–11808. 55 indexed citations

11.

Andy, J., et al.. (2021). Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation. IEEE Transactions on Medical Imaging. 41(5). 1138–1149. 22 indexed citations

12.

Wang, Jinpeng, et al.. (2021). Multi-Level Temporal Dilated Dense Prediction for Action Recognition. IEEE Transactions on Multimedia. 24. 2553–2566. 16 indexed citations

13.

Andy, J., Jacky C. P. Chan, Pong C. Yuen, et al.. (2020). Temporal matrix completion with locally linear latent factors for medical applications. Artificial Intelligence in Medicine. 107. 101883–101883. 2 indexed citations

14.

Andy, J., et al.. (2020). Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning. 1313–1321. 10 indexed citations

15.

Ye, Mang, Jiawei Li, J. Andy, Liang Zheng, & Pong C. Yuen. (2019). Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification. IEEE Transactions on Image Processing. 28(6). 2976–2990. 118 indexed citations

16.

Tan, Qingxiong, J. Andy, Mang Ye, et al.. (2019). UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. 109–118. 14 indexed citations

17.

Andy, J., Nishi Rawat, Austin Reiter, et al.. (2017). Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor. Critical Care Medicine. 45(4). 630–636. 30 indexed citations

18.

Ye, Mang, J. Andy, Liang Zheng, Jiawei Li, & Pong C. Yuen. (2017). Dynamic Label Graph Matching for Unsupervised Video Re-identification. 5152–5160. 129 indexed citations

19.

Andy, J. & Pong C. Yuen. (2014). Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition. International Journal of Computer Vision. 109(3). 233–251. 18 indexed citations

20.

Andy, J., Pong C. Yuen, & Jiawei Li. (2013). Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information. 3567–3574. 84 indexed citations

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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