Dingkang Yang

1.8k total citations · 2 hit papers
62 papers, 888 citations indexed

About

Dingkang Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Dingkang Yang has authored 62 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Dingkang Yang's work include Anomaly Detection Techniques and Applications (14 papers), Emotion and Mood Recognition (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Dingkang Yang is often cited by papers focused on Anomaly Detection Techniques and Applications (14 papers), Emotion and Mood Recognition (9 papers) and Sentiment Analysis and Opinion Mining (8 papers). Dingkang Yang collaborates with scholars based in China, Canada and United States. Dingkang Yang's co-authors include Lihua Zhang, Yang Liu, Shuai Huang, Liang Song, Jing Liu, Peng Zhai, Yuzheng Wang, Peng Sun, Kun Yang and Shunli Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Dingkang Yang

57 papers receiving 864 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.

Disentangled Representation Learning for Multimodal Emotion Recognition

2022 128 citations Dingkang Yang, Lihua Zhang et al. profile →
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

2024 58 citations Yang Liu, Dingkang Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dingkang Yang China	16	509	351	155	153	102	62	888
Yong-Guk Kim South Korea	13	165 0.3×	208 0.6×	94 0.6×	118 0.8×	33 0.3×	59	602
Rajiv Singh India	16	187 0.4×	589 1.7×	106 0.7×	107 0.7×	72 0.7×	52	1.1k
Abdulhameed Alelaiwi Saudi Arabia	10	119 0.2×	234 0.7×	94 0.6×	86 0.6×	67 0.7×	20	667
Aznul Qalid Md Sabri Malaysia	15	252 0.5×	173 0.5×	36 0.2×	119 0.8×	61 0.6×	44	697
Yanhao Zhang China	15	268 0.5×	542 1.5×	63 0.4×	38 0.2×	55 0.5×	48	729
Oswald Lanz Italy	18	366 0.7×	723 2.1×	64 0.4×	27 0.2×	157 1.5×	58	1.0k
Bernd Radig Germany	14	194 0.4×	345 1.0×	170 1.1×	34 0.2×	99 1.0×	58	622
Jie Hao China	16	288 0.6×	172 0.5×	189 1.2×	218 1.4×	185 1.8×	90	1.2k
Mariana-Iuliana Georgescu Romania	10	455 0.9×	479 1.4×	175 1.1×	285 1.9×	63 0.6×	15	841
Alireza Sepas‐Moghaddam Iran	14	198 0.4×	272 0.8×	51 0.3×	39 0.3×	113 1.1×	36	631

Countries citing papers authored by Dingkang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Dingkang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingkang Yang

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

Yang, Dingkang, et al.. (2025). MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration. Information Fusion. 127. 103743–103743. 1 indexed citations

Liu, Yang, et al.. (2025). Privacy-Preserving Video Anomaly Detection: A Survey. IEEE Transactions on Neural Networks and Learning Systems. 37(1). 2–21. 1 indexed citations

Yang, Kun, Dingkang Yang, Qiang Fu, et al.. (2025). Robust Multi-Agent Collaborative Perception via Spatio-Temporal Awareness. IEEE Transactions on Circuits and Systems for Video Technology. 35(6). 5644–5658. 1 indexed citations

Yang, Dingkang, et al.. (2025). CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation. 1–5. 2 indexed citations

Yang, Dingkang, et al.. (2025). MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation. 13263–13272.

Chen, Zhaoyu, et al.. (2024). Boosting the transferability of adversarial attacks with global momentum initialization. Expert Systems with Applications. 255. 124757–124757. 10 indexed citations

Yang, Dingkang, Linhao Qu, Kun Yang, et al.. (2024). Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12360–12375. 1 indexed citations

Yang, Dingkang, Shuaibing Wang, Kun Yang, et al.. (2024). A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10074–10082. 12 indexed citations

Yang, Dingkang, et al.. (2024). Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Models. 3122–3130.

10.

Liu, Yang, Dingkang Yang, Di Li, et al.. (2024). Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system. Expert Systems with Applications. 250. 123718–123718. 14 indexed citations

11.

Yang, Dingkang, Xiao Zhao, Shuaibing Wang, et al.. (2024). Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities. 12458–12468. 14 indexed citations

12.

Han, Minghao, et al.. (2024). Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images. 1–6. 2 indexed citations

13.

Wang, Yuzheng, Zhaoyu Chen, Dingkang Yang, et al.. (2024). Sampling to Distill: Knowledge Transfer from Open-World Data. 2438–2447. 3 indexed citations

14.

Yang, Dingkang, et al.. (2024). IF-Garments: Reconstructing Your Intersection-Free Multi-Layered Garments from Monocular Videos. 6588–6597. 2 indexed citations

15.

Wang, Yuzheng, Dingkang Yang, Zhaoyu Chen, et al.. (2024). De-Confounded Data-Free Knowledge Distillation for Handling Distribution Shifts. 12615–12625. 3 indexed citations

16.

Liu, Yang, et al.. (2023). Stochastic video normality network for abnormal event detection in surveillance videos. Knowledge-Based Systems. 280. 110986–110986. 25 indexed citations

17.

Yang, Kun, Peng Sun, Dingkang Yang, et al.. (2023). A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving. Ad Hoc Networks. 153. 103343–103343. 3 indexed citations

18.

Yang, Dingkang, et al.. (2023). Towards heart infarction detection via image-based dataset and three-stream fusion framework. Computer Communications. 215. 21–28. 1 indexed citations

19.

Liu, Yang, Jing Liu, Kun Yang, et al.. (2023). AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System. IEEE Transactions on Industrial Informatics. 20(2). 2843–2855. 61 indexed citations

20.

Zhu, Ruichao, Jiafu Wang, Tianshuo Qiu, et al.. (2023). Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network. Opto-Electronic Advances. 6(8). 220148–220148. 47 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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