Hang Yu

1.8k total citations
125 papers, 1.1k citations indexed

About

Hang Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hang Yu has authored 125 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Hang Yu's work include Topic Modeling (24 papers), Data Stream Mining Techniques (15 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Hang Yu is often cited by papers focused on Topic Modeling (24 papers), Data Stream Mining Techniques (15 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Hang Yu collaborates with scholars based in China, Australia and United Kingdom. Hang Yu's co-authors include Jie Lü, Guangquan Zhang, Xiangfeng Luo, Weiqiang Jin, Biao Zhao, Shaorong Xie, Yimin Wen, Chenxing Liu, Liyan Ma and Tian-Tsong Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Journal of Membrane Science.

In The Last Decade

Hang Yu

104 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Yu China 19 649 243 118 95 86 125 1.1k
Chen Xu China 20 331 0.5× 287 1.2× 167 1.4× 77 0.8× 76 0.9× 59 950
Stefan Rüping Germany 14 540 0.8× 277 1.1× 122 1.0× 104 1.1× 81 0.9× 65 1.2k
Waqas Haider Bangyal Pakistan 19 600 0.9× 164 0.7× 168 1.4× 43 0.5× 48 0.6× 51 1.2k
Ruoxi Jia United States 20 677 1.0× 171 0.7× 126 1.1× 70 0.7× 94 1.1× 48 1.3k
Mohammad Tubishat Jordan 16 1.1k 1.6× 244 1.0× 124 1.1× 33 0.3× 37 0.4× 35 1.5k
Cong Liu China 17 431 0.7× 335 1.4× 98 0.8× 43 0.5× 65 0.8× 73 1.0k
Aaron Klein Germany 8 753 1.2× 236 1.0× 84 0.7× 34 0.4× 56 0.7× 25 1.2k
César García‐Osorio Spain 22 867 1.3× 208 0.9× 158 1.3× 81 0.9× 47 0.5× 56 1.3k
Honghui Xu United States 11 343 0.5× 168 0.7× 80 0.7× 26 0.3× 89 1.0× 22 808

Countries citing papers authored by Hang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yu. A scholar is included among the top collaborators of Hang Yu 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 Hang Yu. Hang Yu 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.
Yao, Yu‐Feng, et al.. (2025). The cutting-edge progress of novel biomedicines in ovulatory dysfunction therapy. Acta Pharmaceutica Sinica B. 15(10). 5145–5166.
2.
3.
Yu, Hang, et al.. (2025). A Evaluation-Based Large Model for Multi-Step Behavior Prediction in Intelligent Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(3). 9114–9124.
4.
5.
Yu, Hang, Zhengyang Liu, & Xiangfeng Luo. (2024). Barely Supervised Learning for Graph-Based Fraud Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16548–16557. 12 indexed citations
6.
Wen, Yimin, et al.. (2024). Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts. Knowledge-Based Systems. 293. 111636–111636. 10 indexed citations
7.
Xie, Shaorong, Yang Li, Xinzhi Wang, et al.. (2024). Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative–competitive environments. Information Fusion. 108. 102318–102318. 7 indexed citations
8.
Zhang, Yunong, Xiao Wei, & Hang Yu. (2024). HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning. Knowledge-Based Systems. 299. 112033–112033. 2 indexed citations
9.
Zhang, Zhenyu, Shaorong Xie, Han Zhang, Xiangfeng Luo, & Hang Yu. (2024). Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning. Information Fusion. 114. 102664–102664.
10.
Zhang, Han, Hang Yu, Xiaoming Wang, et al.. (2024). Knowledge-guided communication preference learning model for multi-agent cooperation. Information Sciences. 667. 120395–120395. 3 indexed citations
11.
Chen, Yuanzhu, et al.. (2024). Cognitive-based knowledge learning framework for recommendation. Knowledge-Based Systems. 287. 111446–111446. 4 indexed citations
12.
Yu, Hang, et al.. (2024). D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. 14798–14814. 2 indexed citations
13.
Xia, Nan, et al.. (2024). Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation. Neurocomputing. 595. 127866–127866. 5 indexed citations
14.
Luo, Xiangfeng, et al.. (2024). An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic Scene. IEEE Transactions on Intelligent Vehicles. 10(2). 1168–1183.
15.
Cheng, Lin, et al.. (2024). Ionic Flexible Capacitive 3-D Force Sensor for Electromechanical Signal Monitoring. IEEE Sensors Journal. 24(16). 26309–26319. 1 indexed citations
16.
Yu, Hang, et al.. (2024). Concept Drift Adaptation by Exploiting Drift Type. ACM Transactions on Knowledge Discovery from Data. 18(4). 1–22. 10 indexed citations
17.
Yu, Hang, et al.. (2024). Anti-delay Kalman filter fusion algorithm for inter-vehicle sensor network with finite-step convergence. Journal of the Franklin Institute. 361(7). 106786–106786. 1 indexed citations
18.
Yu, Hang, et al.. (2023). THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detection. Engineering Applications of Artificial Intelligence. 123. 106271–106271. 27 indexed citations
19.
Jin, Weiqiang, et al.. (2023). Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis. Information Processing & Management. 60(3). 103260–103260. 60 indexed citations
20.
Yu, Hang, et al.. (2020). Effect of beam defocusing on porosity formation in laser-MIG hybrid welded TA2 titanium alloy joints. Journal of Manufacturing Processes. 58. 1221–1231. 21 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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