Yihong Dong

956 total citations
52 papers, 500 citations indexed

About

Yihong Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yihong Dong has authored 52 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Yihong Dong's work include Advanced Graph Neural Networks (8 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Yihong Dong is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Yihong Dong collaborates with scholars based in China and Romania. Yihong Dong's co-authors include Jiapeng Wang, Jiangbo Qian, Baisong Liu, Yueting Zhuang, Xin Yu, Ken Chen, Ge Li, Yunxin Ji, Zhi Jin and Linlin Gao and has published in prestigious journals such as IEEE Access, Fuzzy Sets and Systems and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Yihong Dong

44 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yihong Dong China	12	225	116	102	55	38	52	500
Aneesh Krishna Australia	13	205 0.9×	257 2.2×	202 2.0×	41 0.7×	36 0.9×	119	791
Matin Pirouz United States	13	200 0.9×	60 0.5×	183 1.8×	84 1.5×	76 2.0×	34	482
Baijnath Kaushik India	13	245 1.1×	87 0.8×	114 1.1×	15 0.3×	22 0.6×	57	648
Ilana Heintz United States	5	386 1.7×	54 0.5×	104 1.0×	15 0.3×	38 1.0×	9	644
Abdulrahman Alreshidi Saudi Arabia	13	164 0.7×	91 0.8×	137 1.3×	14 0.3×	39 1.0×	32	440
João Magalhães Portugal	13	237 1.1×	267 2.3×	94 0.9×	29 0.5×	45 1.2×	84	559
Kurt Driessens Netherlands	15	601 2.7×	193 1.7×	60 0.6×	58 1.1×	10 0.3×	52	852
Zhongmin Liu China	14	123 0.5×	164 1.4×	33 0.3×	12 0.2×	56 1.5×	33	562
Tarek R. Besold Germany	12	450 2.0×	61 0.5×	38 0.4×	68 1.2×	52 1.4×	42	661

Countries citing papers authored by Yihong Dong

Since Specialization

Citations

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

Fields of papers citing papers by Yihong Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihong Dong

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

Hu, Chang, et al.. (2025). Multiscale Spectral Augmentation for Graph Contrastive Learning for fMRI analysis to diagnose psychiatric disease. Knowledge-Based Systems. 314. 113175–113175. 1 indexed citations

Dong, Yihong, et al.. (2025). Rethinking Repetition Problems of LLMs in Code Generation. 965–985.

Zhu, Feng, et al.. (2025). Attributed Network Representation Learning Based on Graph Neural Network: A Comprehensive Survey. Concurrency and Computation Practice and Experience. 38(1).

Dong, Yihong, et al.. (2024). ORC-GNN: A novel open set recognition based on graph neural network for multi-class classification of psychiatric disorders. Information Fusion. 117. 102887–102887.

Dong, Yihong, Xue Jiang, Huanyu Liu, et al.. (2024). Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. 12039–12050. 16 indexed citations

Qian, Jiangbo, et al.. (2024). Animation line art colorization based on the optical flow method. Computer Animation and Virtual Worlds. 35(1). 3 indexed citations

Jiang, Min, et al.. (2023). A novel study for depression detecting using audio signals based on graph neural network. Biomedical Signal Processing and Control. 88. 105675–105675. 14 indexed citations

Qian, Jiangbo, et al.. (2023). Swin transformer-based supervised hashing. Applied Intelligence. 53(14). 17548–17560. 18 indexed citations

Qian, Jiangbo, et al.. (2023). A gated graph attention network based on dual graph convolution for node embedding. Applied Intelligence. 53(17). 19962–19975. 2 indexed citations

10.

Dong, Yihong, et al.. (2023). A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention. Machine Vision and Applications. 34(5). 2 indexed citations

11.

Dong, Yihong, et al.. (2022). MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder. Computers in Biology and Medicine. 148. 105823–105823. 38 indexed citations

12.

Xin, Yu, et al.. (2022). A multi-scale interactive U-Net for pulmonary vessel segmentation method based on transfer learning. Biomedical Signal Processing and Control. 80. 104407–104407. 23 indexed citations

13.

Dong, Yihong, et al.. (2021). The deep fusion of topological structure and attribute information for anomaly detection in attributed networks. Applied Intelligence. 52(1). 1013–1029. 1 indexed citations

14.

Qian, Jiangbo, et al.. (2020). AVBH: Asymmetric Learning to Hash with Variable Bit Encoding. Scientific Programming. 2020. 1–11. 2 indexed citations

15.

Dong, Yihong, et al.. (2020). A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence. Scientific Programming. 2020. 1–10. 8 indexed citations

16.

Dong, Yihong, et al.. (2014). Continuous Probabilistic Skyline Queries for Uncertain Moving Objects in Road Network. International Journal of Distributed Sensor Networks. 10(3). 365064–365064. 4 indexed citations

17.

Chen, Huahui, et al.. (2011). Wavelet decomposition algorithm for uncertain data streams. 965–970. 1 indexed citations

18.

Dong, Yihong, et al.. (2008). PFHC: A clustering algorithm based on data partitioning for unevenly distributed datasets. Fuzzy Sets and Systems. 160(13). 1886–1901. 5 indexed citations

19.

Dong, Yihong, et al.. (2007). An Adaptive Counter Propagation Network. 1 indexed citations

20.

Dong, Yihong & Yueting Zhuang. (2004). Fuzzy hierarchical clustering algorithm facing large databases. 24. 4282–4286. 10 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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