Yihong Gong

23.6k total citations · 11 hit papers
223 papers, 15.6k citations indexed

About

Yihong Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yihong Gong has authored 223 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Computer Vision and Pattern Recognition, 95 papers in Artificial Intelligence and 21 papers in Signal Processing. Recurrent topics in Yihong Gong's work include Video Surveillance and Tracking Methods (55 papers), Advanced Image and Video Retrieval Techniques (44 papers) and Domain Adaptation and Few-Shot Learning (32 papers). Yihong Gong is often cited by papers focused on Video Surveillance and Tracking Methods (55 papers), Advanced Image and Video Retrieval Techniques (44 papers) and Domain Adaptation and Few-Shot Learning (32 papers). Yihong Gong collaborates with scholars based in China, United States and Singapore. Yihong Gong's co-authors include Shuicheng Yan, Thomas S. Huang, Jinjun Wang, Wei Xu, Kai Yu, Fengjun Lv, Xin Liu, Kai Yu, Xing Wei and Xiaopeng Hong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Yihong Gong

207 papers receiving 15.0k citations

Hit Papers

5 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.

Locality-constrained Linear Coding for image classification

2010 2.3k citations Jinjun Wang, Shuicheng Yan et al. profile →
Linear spatial pyramid matching using sparse coding for image classification

2009 2.0k citations Shuicheng Yan, Kai Yu et al. 2009 IEEE Conference on Computer Vision and Pattern Recognition profile →
Document clustering based on non-negative matrix factorization

2003 1.3k citations Yihong Gong et al. profile →
Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

2016 890 citations De Cheng, Yihong Gong et al. profile →
Generic text summarization using relevance measure and latent semantic analysis

2001 548 citations Yihong Gong et al. profile →
Nonlinear Learning using Local Coordinate Coding

2009 520 citations Kai Yu, Tong Zhang et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
Linear spatial pyramid matching using sparse coding for image classification

2009 415 citations Shuicheng Yan, Kai Yu et al. 2009 IEEE Conference on Computer Vision and Pattern Recognition profile →
Bayesian Loss for Crowd Count Estimation With Point Supervision

2019 343 citations Zhiheng Ma, Xing Wei et al. profile →
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality

2020 300 citations Xing Wei, Xiaopeng Hong et al. profile →
Few-Shot Class-Incremental Learning

2020 259 citations Xiaoyu Tao, Xiaopeng Hong et al. profile →
Autoregressive Visual Tracking

2023 148 citations Xing Wei, Yihong Gong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yihong Gong China	52	11.5k	5.3k	1.9k	1.5k	1.1k	223	15.6k
Rongrong Ji China	68	14.7k 1.3×	6.6k 1.3×	1.2k 0.6×	833 0.5×	1.1k 0.9×	477	19.7k
Tao Mei China	69	15.1k 1.3×	6.3k 1.2×	1.2k 0.6×	1.3k 0.8×	1.4k 1.2×	441	19.3k
Xuelong Li China	63	9.7k 0.8×	6.2k 1.2×	3.5k 1.8×	1.0k 0.7×	709 0.6×	606	14.9k
Yun Fu United States	65	13.4k 1.2×	6.7k 1.3×	3.3k 1.8×	1.3k 0.9×	1.4k 1.2×	348	18.7k
Changshui Zhang China	59	8.3k 0.7×	5.2k 1.0×	2.0k 1.0×	1.7k 1.1×	697 0.6×	379	15.1k
Sam Kwong Hong Kong	73	11.0k 1.0×	8.5k 1.6×	2.4k 1.2×	3.7k 2.4×	897 0.8×	671	24.5k
Xiaofei He China	60	12.2k 1.1×	7.2k 1.4×	2.7k 1.4×	1.8k 1.2×	702 0.6×	256	19.1k
Steven C. H. Hoi Singapore	64	8.9k 0.8×	6.5k 1.2×	1.4k 0.7×	1.1k 0.7×	774 0.7×	287	16.6k
Yair Weiss Israel	40	10.2k 0.9×	5.2k 1.0×	3.0k 1.5×	1.3k 0.8×	453 0.4×	94	16.9k
Deng Cai China	61	9.8k 0.9×	7.0k 1.3×	1.9k 1.0×	1.4k 0.9×	467 0.4×	231	15.7k

Countries citing papers authored by Yihong Gong

Since Specialization

Citations

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

Fields of papers citing papers by Yihong Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihong Gong

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

He, Yuhang, et al.. (2025). A Bayesian dual-pathway network for unsupervised domain adaptation. Pattern Recognition. 164. 111498–111498. 1 indexed citations

Zhao, Jianming, et al.. (2025). An intelligent 3-D reconstruction method for arbitrarily oriented subsurface cracks based on the multi-frequency RACFM technique. Nondestructive Testing And Evaluation. 1–18.

He, Yuhang, et al.. (2025). Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.

Gong, Yihong, Jiucai Jin, Deqing Liu, & Peng Ren. (2025). A real-time lightweight object detection algorithm based on improved you only look once version 8 for unmanned surface vehicle. Engineering Applications of Artificial Intelligence. 152. 110798–110798. 1 indexed citations

Xie, Jin, et al.. (2024). A rail-to-rail high speed comparator with LVDS output in 0.18-μm SiGe BiCMOS Technology. Integration. 97. 102198–102198.

Dong, Songlin, et al.. (2024). Analogical Learning-Based Few-Shot Class-Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5493–5504. 8 indexed citations

Ma, Zhiheng, et al.. (2024). Few-shot online anomaly detection and segmentation. Knowledge-Based Systems. 300. 112168–112168. 9 indexed citations

Wei, Xing, et al.. (2023). Topology-preserving transfer learning for weakly-supervised anomaly detection and segmentation. Pattern Recognition Letters. 170. 77–84. 5 indexed citations

Shi, Jingang, et al.. (2023). Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution. 1035–1043. 8 indexed citations

10.

Wei, Xing, et al.. (2023). Blind Hyperspectral Image Denoising with Degradation Information Learning. Remote Sensing. 15(2). 490–490. 5 indexed citations

11.

Shi, Jingang, et al.. (2023). Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution. IEEE Transactions on Multimedia. 26. 2608–2620. 43 indexed citations

12.

Cheng, De, Zhihui Li, Yihong Gong, & Dingwen Zhang. (2018). Fusion of Multiple Person Re-id Methods With Model and Data-Aware Abilities. IEEE Transactions on Cybernetics. 50(2). 561–571. 15 indexed citations

13.

Zhang, Shizhou, Jinjun Wang, Weiwei Shi, et al.. (2018). Normalized Non-Negative Sparse Encoder for Fast Image Representation. IEEE Transactions on Circuits and Systems for Video Technology. 29(7). 1962–1972. 5 indexed citations

14.

Shi, Weiwei, Yihong Gong, Xiaoyu Tao, De Cheng, & Nanning Zheng. (2018). Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses. IEEE Transactions on Neural Networks and Learning Systems. 30(3). 683–694. 46 indexed citations

15.

Jiang, Bo, Jin Tang, Chris Ding, Yihong Gong, & Bin Luo. (2017). Graph Matching via Multiplicative Update Algorithm. Neural Information Processing Systems. 30. 3187–3195. 11 indexed citations

16.

Wang, Dingding, Shenghuo Zhu, Tao Li, & Yihong Gong. (2009). Multi-document summarization using sentence-based topic models. 297–297. 109 indexed citations

17.

Yu, Kai, Tong Zhang, & Yihong Gong. (2009). Nonlinear Learning using Local Coordinate Coding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 22. 2223–2231. 520 indexed citations breakdown →

18.

Yan, Shuicheng, Kai Yu, Yihong Gong, & Thomas S. Huang. (2009). Linear spatial pyramid matching using sparse coding for image classification. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1794–1801. 2010 indexed citations breakdown →

19.

Yu, Kai, Wei Xu, & Yihong Gong. (2008). Deep Learning with Kernel Regularization for Visual Recognition. neural information processing systems. 21. 1889–1896. 54 indexed citations

20.

Zhu, Shenghuo, Kai Yu, Yün Chi, & Yihong Gong. (2007). Combining content and link for classification using matrix factorization. 487–494. 175 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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