De Cheng

864 total citations · 1 hit paper
35 papers, 526 citations indexed

About

De Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, De Cheng has authored 35 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in De Cheng's work include Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Image Enhancement Techniques (6 papers). De Cheng is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Image Enhancement Techniques (6 papers). De Cheng collaborates with scholars based in China, Hong Kong and United Kingdom. De Cheng's co-authors include Dingwen Zhang, Xinbo Gao, Nannan Wang, Jungong Han, Junwei Han, Jingyu Zhou, Qiang Zhang, Yi Liu, Bo Wang and Jiande Sun and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

De Cheng

30 papers receiving 519 citations

Hit Papers

Capsule Networks With Residual Pose Routing 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De Cheng China 13 372 221 88 56 39 35 526
Qi Feng China 12 389 1.0× 95 0.4× 96 1.1× 66 1.2× 22 0.6× 21 473
Allah Bux Sargano Pakistan 12 332 0.9× 255 1.2× 61 0.7× 70 1.3× 19 0.5× 29 519
Fan Ma China 10 363 1.0× 184 0.8× 32 0.4× 27 0.5× 26 0.7× 22 476
Ruipeng Zhang China 9 265 0.7× 289 1.3× 57 0.6× 43 0.8× 55 1.4× 12 483
Jialun Liu China 7 250 0.7× 142 0.6× 26 0.3× 40 0.7× 22 0.6× 11 350
Huaxin Xiao China 12 451 1.2× 155 0.7× 73 0.8× 17 0.3× 35 0.9× 42 563
Joongkyu Kim South Korea 9 434 1.2× 205 0.9× 97 1.1× 32 0.6× 50 1.3× 33 529
Shangzhen Luan China 4 229 0.6× 70 0.3× 75 0.9× 24 0.4× 31 0.8× 5 349
Akshay Dudhane India 16 702 1.9× 98 0.4× 219 2.5× 27 0.5× 59 1.5× 29 782
Zhigang Dai China 5 298 0.8× 161 0.7× 67 0.8× 20 0.4× 18 0.5× 6 431

Countries citing papers authored by De Cheng

Since Specialization
Citations

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

Fields of papers citing papers by De Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of De Cheng. A scholar is included among the top collaborators of De Cheng 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 De Cheng. De Cheng 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
1.
Yang, Xi, et al.. (2025). TIENet: A Tri-Interaction Enhancement Network for Multimodal Person Reidentification. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 9852–9863. 2 indexed citations
2.
Zhao, Ruoyu, et al.. (2025). CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization. IEEE Transactions on Circuits and Systems for Video Technology. 35(6). 6047–6058. 5 indexed citations
3.
Cheng, De, et al.. (2025). Achieving Plasticity-Stability Trade-Off in Continual Learning Through Adaptive Orthogonal Projection. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7485–7498.
4.
Zhang, Shizhou, De Cheng, Yinghui Xing, et al.. (2025). Prompt-Based Modality Alignment for Effective Multi-Modal Object Re-Identification. IEEE Transactions on Image Processing. 34. 2450–2462. 1 indexed citations
5.
Ding, Xinpeng, et al.. (2025). ETC: Temporal Boundary Expand Then Clarify for Weakly Supervised Video Grounding With Multimodal Large Language Model. IEEE Transactions on Multimedia. 27. 1772–1782.
6.
Fang, Chaowei, et al.. (2025). High-frequency structure transformer for magnetic resonance image super-resolution. Pattern Recognition. 170. 112037–112037.
7.
Xu, Zhipeng, De Cheng, Xinyang Jiang, et al.. (2025). Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization. 18584–18595.
8.
Cheng, De, et al.. (2024). Efficient Statistical Sampling Adaptation for Exemplar-Free Class Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11451–11463. 2 indexed citations
9.
Liu, Yi, et al.. (2024). Capsule Networks With Residual Pose Routing. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2648–2661. 60 indexed citations breakdown →
10.
Cheng, De, et al.. (2024). Neighbor Consistency and Global-Local Interaction: A Novel Pseudo-Label Refinement Approach for Unsupervised Person Re-Identification. IEEE Transactions on Information Forensics and Security. 19. 9070–9084. 7 indexed citations
11.
Cheng, De, et al.. (2024). Progressive Negative Enhancing Contrastive Learning for Image Dehazing and Beyond. IEEE Transactions on Multimedia. 26. 8783–8798. 19 indexed citations
12.
Cheng, De, et al.. (2024). Neighbor-Guided Pseudo-Label Generation and Refinement for Single-Frame Supervised Temporal Action Localization. IEEE Transactions on Image Processing. 33. 2419–2430. 5 indexed citations
13.
Cheng, De, et al.. (2024). Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure. IEEE Transactions on Multimedia. 26. 8184–8196. 22 indexed citations
14.
Liang, Yudong, et al.. (2024). Image dehazing via self-supervised depth guidance. Pattern Recognition. 158. 111051–111051. 11 indexed citations
15.
Wang, Yubin, Xinyang Jiang, De Cheng, Dongsheng Li, & Cairong Zhao. (2024). Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5749–5757. 5 indexed citations
16.
Cheng, De, et al.. (2023). Boosting Weakly-Supervised Temporal Action Localization with Text Information. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10648–10657. 21 indexed citations
17.
Cheng, De, et al.. (2023). Weakly Supervised Temporal Action Localization With Bidirectional Semantic Consistency Constraint. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 13032–13045. 8 indexed citations
18.
Xing, Yinghui, Qirui Wu, De Cheng, et al.. (2023). Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model. IEEE Transactions on Multimedia. 26. 2056–2068. 45 indexed citations
19.
Cheng, De, et al.. (2023). Discriminative and Robust Attribute Alignment for Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 33(8). 4244–4256. 21 indexed citations
20.
Cheng, De, et al.. (2022). Single image dehazing with an independent Detail-Recovery Network. Knowledge-Based Systems. 254. 109579–109579. 25 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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