Yunhai Tong

4.9k total citations · 3 hit papers
72 papers, 1.9k citations indexed

About

Yunhai Tong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yunhai Tong has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Yunhai Tong's work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (14 papers) and Topic Modeling (10 papers). Yunhai Tong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (14 papers) and Topic Modeling (10 papers). Yunhai Tong collaborates with scholars based in China, United States and Singapore. Yunhai Tong's co-authors include Yujing Wang, Xiangtai Li, Juanyong Duan, Bixiong Xu, Congrui Huang, Jing Bai, Zhihan Yue, Guangliang Cheng, Tianmeng Yang and Defu Cao and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neuroscience.

In The Last Decade

Yunhai Tong

66 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Multivariate Time-Series Anomaly Detection via Graph Attention Network

2020 371 citations Yujing Wang, Juanyong Duan et al. profile →
TS2Vec: Towards Universal Representation of Time Series

2022 336 citations Yujing Wang, Juanyong Duan et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Towards Open Vocabulary Learning: A Survey

2024 64 citations Xiangtai Li, Haobo Yuan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yunhai Tong China	22	959	709	428	310	139	72	1.9k
Sheraz Ahmed Germany	23	886 0.9×	802 1.1×	307 0.7×	264 0.9×	108 0.8×	110	2.2k
Daniel Yeung China	21	1.0k 1.1×	700 1.0×	242 0.6×	311 1.0×	214 1.5×	135	2.0k
Nikunj C. Oza United States	21	1.4k 1.5×	355 0.5×	347 0.8×	296 1.0×	124 0.9×	70	2.2k
Anca Ralescu United States	19	729 0.8×	384 0.5×	237 0.6×	202 0.7×	172 1.2×	157	1.7k
Sarah Erfani Australia	17	1.3k 1.4×	370 0.5×	302 0.7×	478 1.5×	150 1.1×	77	1.8k
Hadi Sadoghi Yazdi Iran	22	885 0.9×	489 0.7×	233 0.5×	164 0.5×	100 0.7×	184	2.0k
Yuk Ying Chung Australia	19	599 0.6×	607 0.9×	168 0.4×	224 0.7×	114 0.8×	125	1.6k
宏治津田 Japan	1	1.1k 1.1×	867 1.2×	165 0.4×	142 0.5×	172 1.2×	2	2.0k
Chiranji Lal Chowdhary India	21	821 0.9×	465 0.7×	215 0.5×	431 1.4×	229 1.6×	56	1.9k
Minnan Luo China	25	1.5k 1.5×	999 1.4×	179 0.4×	368 1.2×	390 2.8×	96	2.4k

Countries citing papers authored by Yunhai Tong

Since Specialization

Citations

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

Fields of papers citing papers by Yunhai Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhai Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Yunhai Tong. A scholar is included among the top collaborators of Yunhai Tong 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 Yunhai Tong. Yunhai Tong 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, Yaming, Yelong Shen, Yujing Wang, et al.. (2025). MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(20). 22010–22018. 3 indexed citations

Li, Xiangtai, Haobo Yuan, Henghui Ding, et al.. (2024). Towards Open Vocabulary Learning: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 5092–5113. 64 indexed citations breakdown →

Yang, Tianmeng, et al.. (2024). SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. 5329–5338. 2 indexed citations

Chen, Jianpeng, Yujing Wang, Ming Zeng, et al.. (2024). Customizing graph neural networks using path reweighting. Information Sciences. 674. 120681–120681. 2 indexed citations

Li, Xiangtai, Jiangning Zhang, Yibo Yang, et al.. (2023). Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow. International Journal of Computer Vision. 132(2). 466–489. 30 indexed citations

Zhou, Qianyu, Xiangtai Li, Lu H, et al.. (2022). TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7853–7869. 103 indexed citations

Li, Xiangtai, Wenwei Zhang, Jiangmiao Pang, et al.. (2022). Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18825–18835. 47 indexed citations

Kou, Xiaoyu, et al.. (2021). Improving BERT With Self-Supervised Attention. IEEE Access. 9. 144129–144139. 5 indexed citations

Li, Xiangtai, Hao He, Xia Li, et al.. (2021). PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4215–4224. 87 indexed citations

10.

Chen, Shi, et al.. (2021). Dynamic Dual Sampling Module For Fine-Grained Semantic Segmentation. 2269–2273. 1 indexed citations

11.

Cao, Defu, Yujing Wang, Juanyong Duan, et al.. (2021). Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. arXiv (Cornell University). 33. 17766–17778. 59 indexed citations

12.

Li, Xiangtai, et al.. (2019). Global Aggregation then Local Distribution in Fully Convolutional Networks.. arXiv (Cornell University). 244. 8 indexed citations

13.

Zhang, Li, Xiangtai Li, Anurag Arnab, et al.. (2019). Dual Graph Convolutional Network for Semantic Segmentation.. Oxford University Research Archive (ORA) (University of Oxford). 254. 23 indexed citations

14.

Li, Xihan, Jia Zhang, Jiang Bian, Yunhai Tong, & Tie‐Yan Liu. (2019). A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. arXiv (Cornell University). 980–988. 13 indexed citations

15.

Tong, Yunhai, et al.. (2016). A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification. 65–74. 32 indexed citations

16.

Tong, Yunhai, et al.. (2016). Improved IAMB with Expanded Markov Blanket for High‐Dimensional Time Series Prediction. Chinese Journal of Electronics. 25(2). 264–269. 2 indexed citations

17.

Tong, Yunhai, Xiangfeng Meng, Shuai Zhao, et al.. (2016). Adaptive logistic group Lasso method for predicting the no-reflow among the multiple types of high-dimensional variables with missing data. 1085–1089. 3 indexed citations

18.

Yang, Hua, Ting Zhou, Tianyi Liu, et al.. (2015). Lipoprotein lipase deficiency leads to α-synuclein aggregation and ubiquitin C-terminal hydrolase L1 reduction. Neuroscience. 290. 1–10. 6 indexed citations

19.

Yang, Jianjun, et al.. (2014). Efficient and effective Bayesian network local structure learning. Frontiers of Computer Science. 8(4). 527–536. 1 indexed citations

20.

Yang, Jianjun, Yunhai Tong, Xinhai Liu, & Shaohua Tan. (2014). Causal inference from financial factors: Continuous variable based local structure learning algorithm. 278–285. 1 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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