Ye Yuan

4.2k total citations · 1 hit paper
210 papers, 2.4k citations indexed

About

Ye Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ye Yuan has authored 210 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 72 papers in Computer Vision and Pattern Recognition and 64 papers in Computer Networks and Communications. Recurrent topics in Ye Yuan's work include Data Management and Algorithms (44 papers), Graph Theory and Algorithms (34 papers) and Advanced Graph Neural Networks (33 papers). Ye Yuan is often cited by papers focused on Data Management and Algorithms (44 papers), Graph Theory and Algorithms (34 papers) and Advanced Graph Neural Networks (33 papers). Ye Yuan collaborates with scholars based in China, Hong Kong and United States. Ye Yuan's co-authors include Guoren Wang, Lei Chen, Banghuai Li, Bo Sun, Chi Zhang, Yongjiao Sun, Yurong Cheng, Haixun Wang, Changsheng Li and Deke Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Ye Yuan

185 papers receiving 2.3k 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.

FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

2021 302 citations Ye Yuan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Yuan China	22	1.1k	830	631	451	311	210	2.4k
Ge Yu China	30	1.6k 1.5×	636 0.8×	1.1k 1.7×	641 1.4×	721 2.3×	380	3.8k
Cecilia M. Procopiuc United States	22	2.1k 1.9×	620 0.7×	356 0.6×	701 1.6×	585 1.9×	34	2.8k
Qiang Liu China	26	1.4k 1.3×	869 1.0×	617 1.0×	390 0.9×	497 1.6×	164	2.8k
Lei Zou China	30	2.0k 1.8×	993 1.2×	784 1.2×	657 1.5×	522 1.7×	172	3.1k
Tinghuai Ma China	28	1.4k 1.3×	534 0.6×	672 1.1×	164 0.4×	575 1.8×	196	2.8k
Yunjun Gao China	30	1.2k 1.1×	746 0.9×	886 1.4×	1.5k 3.4×	579 1.9×	261	3.3k
Zhifeng Bao Australia	26	839 0.8×	336 0.4×	665 1.1×	1.0k 2.2×	412 1.3×	153	2.3k
Bin Wang China	27	1.7k 1.6×	602 0.7×	363 0.6×	188 0.4×	811 2.6×	202	2.9k
Spiros Papadimitriou United States	23	1.5k 1.3×	456 0.5×	773 1.2×	665 1.5×	547 1.8×	53	2.7k
Xiaoyong Du China	29	1.9k 1.7×	692 0.8×	824 1.3×	430 1.0×	1.1k 3.4×	317	3.5k

Countries citing papers authored by Ye Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Ye Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Yuan. A scholar is included among the top collaborators of Ye Yuan 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 Ye Yuan. Ye Yuan 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

1.

Li, Lin, et al.. (2025). DC-LoRA: Domain correlation low-rank adaptation for domain incremental learning. SHILAP Revista de lepidopterología. 5(4). 100270–100270.

2.

Li, Zhetao, Yong Xiao, Haolin Liu, et al.. (2025). Dynamic Graph Publication With Differential Privacy Guarantees for Decentralized Applications. IEEE Transactions on Computers. 74(5). 1771–1785.

3.

Li, Changsheng, et al.. (2025). Shared Growth of Graph Neural Networks via Prompted Free-Direction Knowledge Distillation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4377–4394. 1 indexed citations

4.

Yan, Y. H., et al.. (2025). Open3DSearch: Zero-Shot Precise Retrieval of 3D Shapes Using Text Descriptions. 6183–6192.

5.

Yuan, Ye, et al.. (2024). Net load forecasting method in distribution grid planning based on LSTM network. SHILAP Revista de lepidopterología. 79. 57–57. 1 indexed citations

6.

Guo, Jiale, et al.. (2024). A Novel Text Adversarial Sample Generation and Defense Method for SIoT Systems. IEEE Internet of Things Journal. 12(17). 34931–34943.

7.

Li, Siyu, Zhiwei Zhang, Meihui Zhang, Ye Yuan, & Guoren Wang. (2024). Authenticated Subgraph Matching in Hybrid-Storage Blockchains. 1986–1998. 1 indexed citations

8.

Yuan, Ye, et al.. (2024). Design of ant colony planning algorithms for multi-stage grids of distribution networks considering network resilience. Intelligent Decision Technologies. 18(3). 1813–1826.

9.

Zhao, Kangfei, et al.. (2024). Feed: Towards Personalization-Effective Federated Learning. 1779–1791. 1 indexed citations

10.

Wang, Kaiyuan, et al.. (2024). FinLLMs: A Framework for Financial Reasoning Dataset Generation With Large Language Models. IEEE Transactions on Big Data. 11(5). 2264–2277. 3 indexed citations

11.

Zhang, Zhiwei, et al.. (2024). Efficient Partial Order Based Transaction Processing for Permissioned Blockchains. 1888–1901.

12.

Cheng, Yurong, Xiaosong Huang, Yi Yang, et al.. (2024). Cross Online Ride-Sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing. 4140–4152. 2 indexed citations

13.

Tong, Jinghui, et al.. (2024). Local to global purification strategy to realize collaborative camouflaged object detection. Computer Vision and Image Understanding. 241. 103932–103932. 8 indexed citations

14.

Li, Rongqing, et al.. (2024). ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving. arXiv (Cornell University). 1643–1654. 3 indexed citations

15.

Wang, Shuliang, Lianhua Chi, Ye Yuan, et al.. (2023). Coresets for fast causal discovery with the additive noise model. Pattern Recognition. 148. 110149–110149. 3 indexed citations

16.

Li, Changsheng, et al.. (2022). Structure Guided Deep Neural Network for Unsupervised Active Learning. IEEE Transactions on Image Processing. 31. 2767–2781. 11 indexed citations

17.

Li, Changsheng, et al.. (2022). Deep Unsupervised Active Learning on Learnable Graphs. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2894–2900. 6 indexed citations

18.

Wen, Zhenyu, Ye Yuan, Peng Qian, et al.. (2022). iQuery: A Trustworthy and Scalable Blockchain Analytics Platform. IEEE Transactions on Dependable and Secure Computing. 20(6). 4578–4592. 5 indexed citations

19.

Li, Mingjie, Ping Zhou, Liangyong Wang, & Ye Yuan. (2021). Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics. IEEE Transactions on Industrial Informatics. 17(11). 7269–7278. 15 indexed citations

20.

Yuan, Ye, et al.. (2019). GCache: Neighborhood-Guided Graph Caching in a Distributed Environment. IEEE Transactions on Parallel and Distributed Systems. 30(11). 2463–2477. 4 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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