Yu Weng

1.1k total citations · 1 hit paper
45 papers, 734 citations indexed

About

Yu Weng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yu Weng has authored 45 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Yu Weng's work include Web Data Mining and Analysis (11 papers), Topic Modeling (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Yu Weng is often cited by papers focused on Web Data Mining and Analysis (11 papers), Topic Modeling (5 papers) and Sentiment Analysis and Opinion Mining (4 papers). Yu Weng collaborates with scholars based in China, United States and Singapore. Yu Weng's co-authors include Tianbao Zhou, Yujie Li, Xiaoyu Qiu, Chunlei Xia, Peng‐Jun Wan, Xiang‐Yang Li, Ophir Frieder, Wen‐Zhan Song, Lei Liu and Honghao Gao and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and Neural Networks.

In The Last Decade

Yu Weng

39 papers receiving 699 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.

NAS-Unet: Neural Architecture Search for Medical Image Segmentation

2019 319 citations Yu Weng, Tianbao Zhou et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Weng China	10	294	219	121	113	85	45	734
José Escorcia‐Gutierrez Colombia	18	230 0.8×	364 1.7×	122 1.0×	170 1.5×	52 0.6×	55	814
Siyamalan Manivannan Sri Lanka	13	193 0.7×	217 1.0×	111 0.9×	145 1.3×	46 0.5×	38	586
Jwan Najeeb Saeed Iraq	12	231 0.8×	331 1.5×	78 0.6×	81 0.7×	61 0.7×	17	855
Long Gao China	9	269 0.9×	417 1.9×	122 1.0×	101 0.9×	95 1.1×	22	800
Margarita Gamarra Colombia	13	196 0.7×	245 1.1×	76 0.6×	124 1.1×	31 0.4×	36	638
Cheng Zhong China	13	168 0.6×	157 0.7×	104 0.9×	43 0.4×	82 1.0×	97	792
Shahid Karim China	16	284 1.0×	108 0.5×	84 0.7×	53 0.5×	38 0.4×	46	633
Javad Rahebi Türkiye	16	186 0.6×	197 0.9×	83 0.7×	188 1.7×	188 2.2×	75	759
Ramgopal Kashyap India	19	128 0.4×	230 1.1×	165 1.4×	108 1.0×	67 0.8×	52	987

Countries citing papers authored by Yu Weng

Since Specialization

Citations

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

Fields of papers citing papers by Yu Weng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Weng. A scholar is included among the top collaborators of Yu Weng 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 Yu Weng. Yu Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Weng, Yu, et al.. (2025). SCAG: Semantic Co-occurring Attention Guided Alignment for Knowledge-based Visual Question Answering. ACM Transactions on Multimedia Computing Communications and Applications. 21(7). 1–20.

2.

Tang, Xiangyun, et al.. (2025). Enforcing Differential Privacy in Federated Learning via Long-Term Contribution Incentives. IEEE Transactions on Information Forensics and Security. 20. 3102–3115.

3.

Weng, Yu, et al.. (2025). LGVLM-mIoT: A Lightweight Generative Visual-Language Model for Multilingual IoT Applications. IEEE Internet of Things Journal. 12(10). 13311–13326. 1 indexed citations

4.

Tang, Xiangyun, Yang Wen, Meng Shen, et al.. (2025). FinBack: Infiltrating Backdoors into Gradient Compressors on Federated Learning. IEEE Transactions on Information Forensics and Security. 20. 12460–12475.

5.

Weng, Yu, et al.. (2024). A Hierarchical Information Compression Approach for Knowledge Discovery From Social Multimedia. IEEE Transactions on Computational Social Systems. 11(6). 7754–7765. 1 indexed citations

6.

Zheng, Yutong, Xuelong Li, & Yu Weng. (2024). Reunion helper: an edge matcher for sibling fragment identification of the Dunhuang manuscript. Heritage Science. 12(1).

7.

Weng, Yu, et al.. (2024). Zero-Shot Cross-Lingual Knowledge Transfer in VQA via Multimodal Distillation. IEEE Transactions on Computational Social Systems. 12(4). 1869–1879. 4 indexed citations

8.

Li, Xuelong, et al.. (2023). 多特征融合的敦煌古籍残片自动缀合. Journal of Image and Graphics. 28(8). 2330–2342. 1 indexed citations

9.

Bi, Xiaojun, et al.. (2023). A Multi-Scale Hybrid Attention Network for Sentence Segmentation Line Detection in Dongba Scripture. Mathematics. 11(15). 3392–3392. 2 indexed citations

10.

Weng, Yu, et al.. (2023). Effective Event Extraction Method via Enhanced Graph Convolutional Network Indication with Hierarchical Argument Selection Strategy. Electronics. 12(13). 2981–2981. 1 indexed citations

11.

Weng, Yu, et al.. (2023). An Efficient Machine-Generated Data Modeling Approach Based on Domain-Aware Knowledge for Intelligent Consumer Electronics. IEEE Transactions on Consumer Electronics. 69(4). 984–995. 19 indexed citations

12.

Weng, Yu, et al.. (2021). An Intelligent Offloading System Based on Multiagent Reinforcement Learning. Security and Communication Networks. 2021. 1–13. 4 indexed citations

13.

Weng, Yu, et al.. (2021). A Low-Latency and Energy-Efficient Multimetric Routing Protocol Based on Network Connectivity in VANET Communication. IEEE Transactions on Green Communications and Networking. 5(4). 1761–1776. 26 indexed citations

14.

Weng, Yu, et al.. (2019). Data Augmentation Computing Model Based on Generative Adversarial Network. IEEE Access. 7. 64223–64233. 10 indexed citations

15.

Weng, Yu, et al.. (2019). Image Inpainting Technique Based on Smart Terminal: A Case Study in CPS Ancient Image Data. IEEE Access. 7. 69837–69847. 4 indexed citations

16.

Weng, Yu, Tianbao Zhou, Yujie Li, & Xiaoyu Qiu. (2019). NAS-Unet: Neural Architecture Search for Medical Image Segmentation. IEEE Access. 7. 44247–44257. 319 indexed citations breakdown →

17.

Weng, Yu, et al.. (2019). A Collective Anomaly Detection Approach for Multidimensional Streams in Mobile Service Security. IEEE Access. 7. 49157–49168. 13 indexed citations

18.

Weng, Yu, Tianbao Zhou, Lei Liu, & Chunlei Xia. (2019). Automatic Convolutional Neural Architecture Search for Image Classification Under Different Scenes. IEEE Access. 7. 38495–38506. 39 indexed citations

19.

Weng, Yu, et al.. (2019). Improved Density Peak Clustering Based on Information Entropy for Ancient Character Images. IEEE Access. 7. 81691–81700. 5 indexed citations

20.

Weng, Yu, et al.. (2018). Multi-Agent-Based Unsupervised Detection of Energy Consumption Anomalies on Smart Campus. IEEE Access. 7. 2169–2178. 80 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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