Yujiu Yang

4.1k total citations · 2 hit papers
128 papers, 1.7k citations indexed

About

Yujiu Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yujiu Yang has authored 128 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 57 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Yujiu Yang's work include Topic Modeling (33 papers), Natural Language Processing Techniques (20 papers) and Multimodal Machine Learning Applications (14 papers). Yujiu Yang is often cited by papers focused on Topic Modeling (33 papers), Natural Language Processing Techniques (20 papers) and Multimodal Machine Learning Applications (14 papers). Yujiu Yang collaborates with scholars based in China, Hong Kong and United Kingdom. Yujiu Yang's co-authors include Weihao Xia, Baoyuan Wu, Jing‐Hao Xue, Mingdeng Cao, Yuan Gong, Wenhuang Liu, Shuwei Shi, Shanshan Lao, Xiaoshuang Shi and Tianhe Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yujiu Yang

114 papers receiving 1.6k citations

Hit Papers

TediGAN: Text-Guided Diverse Face Image Generation and Ma... 2021 2026 2022 2024 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yujiu Yang China 20 1.0k 558 220 110 101 128 1.7k
Yulin Wang China 20 828 0.8× 631 1.1× 123 0.6× 89 0.8× 120 1.2× 86 1.6k
Qianqian Xu China 19 1.2k 1.2× 498 0.9× 322 1.5× 65 0.6× 82 0.8× 119 1.8k
Dhruv Mahajan United States 22 1.1k 1.1× 423 0.8× 215 1.0× 60 0.5× 49 0.5× 49 1.5k
Yuandong Tian United States 20 1.4k 1.4× 888 1.6× 104 0.5× 81 0.7× 185 1.8× 47 1.9k
Shih-Fu Chang United States 24 1.9k 1.9× 972 1.7× 199 0.9× 226 2.1× 52 0.5× 71 2.5k
Keechul Jung South Korea 16 1.8k 1.7× 452 0.8× 439 2.0× 175 1.6× 144 1.4× 62 2.4k
Péter Vajda United States 14 1.2k 1.2× 857 1.5× 110 0.5× 57 0.5× 206 2.0× 41 1.6k
Yuzhen Niu China 26 1.5k 1.5× 266 0.5× 327 1.5× 62 0.6× 234 2.3× 117 2.2k
Marco La Cascia Italy 20 1.7k 1.6× 305 0.5× 180 0.8× 201 1.8× 56 0.6× 76 2.0k

Countries citing papers authored by Yujiu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yujiu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujiu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yujiu Yang. A scholar is included among the top collaborators of Yujiu 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 Yujiu Yang. Yujiu Yang 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
2.
4.
Zhao, Wei, et al.. (2025). Learning High-Quality Dynamic Memory for Video Object Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3452–3468. 1 indexed citations
5.
Jiang, Jie, Weijie Kong, Wenzhe Zhao, et al.. (2025). Global and Local Semantic Completion Learning for Vision-Language Pre-Training. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11065–11079.
6.
Zhang, Yuxiang, Yaxin Liu, Yujiu Yang, et al.. (2024). ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models. 11388–11422.
7.
Tian, Liang, Wenxiang Jiao, Xing Wang, et al.. (2024). Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. 17889–17904. 48 indexed citations
8.
Tian, Liang, et al.. (2024). CriticBench: Benchmarking LLMs for Critique-Correct Reasoning. 1552–1587. 4 indexed citations
10.
Li, Yidan, et al.. (2024). Comparison of the composition, immunological activity and anti-fatigue effects of different parts in sika deer antler. Frontiers in Pharmacology. 15. 1468237–1468237. 2 indexed citations
11.
Xia, Menghan, Yong Zhang, Haoxin Chen, et al.. (2024). StyleCrafter: Taming Artistic Video Diffusion with Reference-Augmented Adapter Learning. ACM Transactions on Graphics. 43(6). 1–10. 2 indexed citations
13.
Feng, Yan, et al.. (2023). Generalizable Black-Box Adversarial Attack With Meta Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1804–1818. 16 indexed citations
14.
Cao, Mingdeng, Yanbo Fan, Yong Zhang, Jue Wang, & Yujiu Yang. (2022). VDTR: Video Deblurring With Transformer. IEEE Transactions on Circuits and Systems for Video Technology. 33(1). 160–171. 39 indexed citations
15.
Zhang, Jingyi, et al.. (2021). Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. 12522–12531. 50 indexed citations
16.
Wang, Jiahao, et al.. (2021). Adder Attention for Vision Transformer. Neural Information Processing Systems. 34. 4 indexed citations
17.
Xu, Li‐Yan, Jian Zhang, Shanshan Shen, et al.. (2020). Association Between Body Composition and Frailty in Elder Inpatients. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Xia, Weihao, Yujiu Yang, & Jing‐Hao Xue. (2020). Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement. Neural Networks. 131. 50–63. 12 indexed citations
19.
Liu, Fuhai, et al.. (2019). Convolutional neural network for cell classification using microscope images of intracellular actin networks. PLoS ONE. 14(3). e0213626–e0213626. 51 indexed citations
20.
Xun, Guangxu, et al.. (2012). Latent Community Discovery with Network Regularization for Core Actors Clustering. International Conference on Computational Linguistics. 1351–1360. 5 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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