Zhanyu Ma

8.1k total citations · 4 hit papers
204 papers, 5.1k citations indexed

About

Zhanyu Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Zhanyu Ma has authored 204 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Artificial Intelligence, 114 papers in Computer Vision and Pattern Recognition and 30 papers in Signal Processing. Recurrent topics in Zhanyu Ma's work include Domain Adaptation and Few-Shot Learning (57 papers), Advanced Neural Network Applications (38 papers) and Multimodal Machine Learning Applications (35 papers). Zhanyu Ma is often cited by papers focused on Domain Adaptation and Few-Shot Learning (57 papers), Advanced Neural Network Applications (38 papers) and Multimodal Machine Learning Applications (35 papers). Zhanyu Ma collaborates with scholars based in China, United Kingdom and Sweden. Zhanyu Ma's co-authors include Jun Guo, Arne Leijon, Xiaoxu Li, Dongliang Chang, Jiyang Xie, Yi-Zhe Song, Jing‐Hao Xue, Qie Sun, Zheng‐Hua Tan and Hong Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Zhanyu Ma

187 papers receiving 4.9k 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.

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

2020 270 citations Dongliang Chang, Jiyang Xie et al. IEEE Transactions on Image Processing profile →
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

2021 219 citations Zhanyu Ma et al. profile →
Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach

2019 217 citations Zhanyu Ma et al. profile →
Deep metric learning for few-shot image classification: A Review of recent developments

2023 120 citations Xiaoxu Li, Xiaochen Yang et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhanyu Ma China	38	2.4k	2.0k	864	471	453	204	5.1k
Li Zhang China	45	2.4k 1.0×	2.4k 1.2×	556 0.6×	454 1.0×	471 1.0×	389	7.1k
Wensheng Zhang China	38	2.3k 0.9×	2.0k 1.0×	440 0.5×	346 0.7×	554 1.2×	306	6.0k
Muhammad Sajjad South Korea	36	1.5k 0.6×	2.8k 1.4×	652 0.8×	477 1.0×	432 1.0×	116	5.0k
Amin Ullah South Korea	34	2.0k 0.8×	2.4k 1.2×	1.2k 1.4×	256 0.5×	450 1.0×	68	4.8k
Kaizhu Huang China	32	1.9k 0.8×	2.0k 1.0×	425 0.5×	296 0.6×	177 0.4×	250	4.7k
Ling Guan Canada	33	987 0.4×	2.1k 1.1×	1.0k 1.2×	688 1.5×	424 0.9×	334	4.9k
Yu Xue China	43	3.0k 1.2×	1.5k 0.7×	426 0.5×	351 0.7×	474 1.0×	177	5.6k
Nizar Bouguila Canada	37	3.5k 1.4×	2.3k 1.2×	503 0.6×	572 1.2×	444 1.0×	474	5.9k
Weibo Liu China	29	2.0k 0.8×	1.6k 0.8×	896 1.0×	297 0.6×	570 1.3×	95	5.9k
Shanghang Zhang China	21	1.9k 0.8×	1.1k 0.5×	972 1.1×	946 2.0×	272 0.6×	86	4.8k

Countries citing papers authored by Zhanyu Ma

Since Specialization

Citations

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

Fields of papers citing papers by Zhanyu Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanyu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanyu Ma. A scholar is included among the top collaborators of Zhanyu Ma 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 Zhanyu Ma. Zhanyu Ma 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

Li, Xiaoxu, Lang Wang, Rui Zhu, et al.. (2025). SRML: Structure-relation mutual learning network for few-shot image classification. Pattern Recognition. 168. 111822–111822. 1 indexed citations

Liang, Kongming, et al.. (2025). Animal-CLIP: A Dual-Prompt Enhanced Vision-Language Model for Animal Action Recognition. International Journal of Computer Vision. 133(8). 5062–5082.

Li, Xiaoxu, Song Xue, Jiyang Xie, et al.. (2025). Interactive triplet attention for few-shot fine-grained image classification. Neurocomputing. 655. 131377–131377.

Li, Wenjie, Mei Wang, Kai Zhang, et al.. (2025). Survey on Deep Face Restoration: From Non-blind to Blind and Beyond. ACM Computing Surveys. 58(6). 1–35. 2 indexed citations

Liang, Kongming, et al.. (2024). Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1806–1814. 2 indexed citations

Xu, Qianqian, et al.. (2024). Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2460–2474.

Li, Xiaoxu, et al.. (2024). Rise by Lifting Others: Interacting Features to Uplift Few-Shot Fine-Grained Classification. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3094–3103. 1 indexed citations

Zhang, Zhimin, Dongliang Chang, Rui Zhu, et al.. (2024). Query-Aware Cross-Mixup and Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 35(2). 1276–1286. 4 indexed citations

Li, Wenjie, et al.. (2024). Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. 4515–4523. 14 indexed citations

10.

Li, Xiaoxu, et al.. (2024). Self-reconstruction network for fine-grained few-shot classification. Pattern Recognition. 153. 110485–110485. 15 indexed citations

11.

Li, Xiaoxu, et al.. (2024). Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification. 9175–9183. 1 indexed citations

12.

Du, Ruoyi, Dongliang Chang, Zhanyu Ma, et al.. (2023). Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2658–2671. 3 indexed citations

13.

Wang, Chunyu, et al.. (2023). Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models. 5716–5724. 1 indexed citations

14.

Liang, Kongming, et al.. (2023). Hierarchical Visual Attribute Learning in the Wild. 3415–3423. 1 indexed citations

15.

Xie, Jiyang, Zhanyu Ma, Jing‐Hao Xue, et al.. (2021). DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. IEEE Transactions on Image Processing. 30. 9208–9219. 7 indexed citations

16.

Guo, Yurong, Zhanyu Ma, Xiaoxu Li, & Yuan Dong. (2021). ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning.. arXiv (Cornell University). 1 indexed citations

17.

Li, Xiaoxu, et al.. (2020). BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. IEEE Transactions on Image Processing. 30. 1318–1331. 132 indexed citations

18.

Lei, Jianjun, et al.. (2019). Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 3226–3237. 41 indexed citations

19.

Ma, Zhanyu, et al.. (2019). Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Transactions on Neural Networks and Learning Systems. 31(7). 1–15. 36 indexed citations

20.

Liu, Luyao, Yi Zhao, Dongliang Chang, et al.. (2018). Prediction of short-term PV power output and uncertainty analysis. Applied Energy. 228. 700–711. 230 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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