Yilong Yin

5.9k total citations · 1 hit paper
235 papers, 3.5k citations indexed

About

Yilong Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yilong Yin has authored 235 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computer Vision and Pattern Recognition, 90 papers in Artificial Intelligence and 37 papers in Signal Processing. Recurrent topics in Yilong Yin's work include Advanced Image and Video Retrieval Techniques (56 papers), Video Surveillance and Tracking Methods (38 papers) and Multimodal Machine Learning Applications (33 papers). Yilong Yin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (56 papers), Video Surveillance and Tracking Methods (38 papers) and Multimodal Machine Learning Applications (33 papers). Yilong Yin collaborates with scholars based in China, Australia and Singapore. Yilong Yin's co-authors include Xiushan Nie, Zhongyi Han, Benzheng Wei, Yuanjie Zheng, Gongping Yang, Shuo Li, Kejian Li, Chaoran Cui, Xiaoming Xi and Xingbo Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Yilong Yin

214 papers receiving 3.5k citations

Hit Papers

Breast Cancer Multi-classification from Histopathological... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yilong Yin China 31 2.0k 1.6k 526 360 241 235 3.5k
Jiancheng Lv China 29 2.0k 1.0× 1.8k 1.1× 186 0.4× 143 0.4× 332 1.4× 195 3.9k
Guoqiang Han China 37 2.0k 1.0× 1.4k 0.9× 196 0.4× 250 0.7× 298 1.2× 172 3.9k
Mingli Song China 40 3.9k 1.9× 1.5k 0.9× 191 0.4× 445 1.2× 540 2.2× 237 5.5k
Quanming Yao China 26 1.5k 0.8× 2.5k 1.5× 247 0.5× 266 0.7× 431 1.8× 88 4.3k
Mohammad Norouzi United States 21 2.6k 1.3× 1.4k 0.9× 525 1.0× 172 0.5× 390 1.6× 44 4.1k
Jérôme Louradour France 11 1.6k 0.8× 2.1k 1.3× 150 0.3× 337 0.9× 212 0.9× 27 3.7k
Longin Jan Latecki United States 43 5.4k 2.7× 1.5k 0.9× 295 0.6× 418 1.2× 449 1.9× 212 7.0k
Walid El‐Shafai Egypt 37 2.3k 1.2× 887 0.5× 371 0.7× 883 2.5× 592 2.5× 367 4.4k
M. Hassaballah Egypt 27 1.2k 0.6× 911 0.6× 161 0.3× 271 0.8× 173 0.7× 84 2.8k

Countries citing papers authored by Yilong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Yilong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilong Yin

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

All Works

20 of 20 papers shown
1.
Liu, Xiaokang, Jun Yu, Yutong Dai, et al.. (2025). Multitask Learning 1997–2024: Part II Regularization and Optimization. Harvard Data Science Review. 7(3).
2.
Guo, Jie, Lishan Qiao, Xiushan Nie, et al.. (2025). Dual Difficulty-Aware Adaptive Pseudo Labeling for Semi-Supervised CNV Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 35(10). 9878–9888.
3.
Liu, Tongxin, et al.. (2025). Internal–External Context Interaction Network for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 732–746.
4.
Yang, Lu, Kuikui Wang, Xiaoming Xi, et al.. (2024). Consistency and label constrained transfer low-rank representation for cross-light finger vein recognition. Pattern Recognition. 161. 111208–111208. 1 indexed citations
5.
Zhang, Xinxin, et al.. (2024). Cascaded Cross-modal Alignment for Visible-Infrared Person Re-Identification. Knowledge-Based Systems. 305. 112585–112585. 1 indexed citations
6.
Han, Zhongyi, et al.. (2024). Generalized Universal Domain Adaptation. Knowledge-Based Systems. 302. 112344–112344. 1 indexed citations
7.
Yin, Yilong, et al.. (2024). The Impacts of Cellulose on Volatile Fatty Acid Production and the Microbial Community in Anaerobic Fermentation of Sludge at High and Medium Temperatures. Applied Biochemistry and Biotechnology. 197(1). 631–648. 5 indexed citations
8.
Han, Zhongyi, et al.. (2023). Neighborhood-based credibility anchor learning for universal domain adaptation. Pattern Recognition. 142. 109686–109686. 9 indexed citations
9.
Zhang, Xinxin, et al.. (2023). Single Image Reflection Removal Based on Dark Channel Sparsity Prior. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 6431–6442. 7 indexed citations
10.
Lu, Xiankai, et al.. (2023). Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2110–2118. 10 indexed citations
11.
Yin, Yilong, et al.. (2023). Multi-Receptive Field Soft Attention Part Learning for Vehicle Re-Identification. Entropy. 25(4). 594–594. 2 indexed citations
12.
Yang, Xiao, et al.. (2023). Triple-attention interaction network for breast tumor classification based on multi-modality images. Pattern Recognition. 139. 109526–109526. 16 indexed citations
13.
Han, Zhongyi, et al.. (2023). SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. IEEE Transactions on Knowledge and Data Engineering. 36(1). 318–334. 5 indexed citations
14.
Han, Zhongyi, et al.. (2023). Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection. 4858–4866. 1 indexed citations
15.
Lu, Xiankai, Dongfang Liu, Xiushan Nie, et al.. (2023). Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. IEEE Transactions on Image Processing. 32. 6543–6557. 14 indexed citations
16.
Han, Peng, et al.. (2022). SPAKT: A Self-Supervised Pre-TrAining Method for Knowledge Tracing. IEEE Access. 10. 72145–72154. 6 indexed citations
17.
Du, Yingjun, Haoliang Sun, Xiantong Zhen, et al.. (2022). MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(3). 1464–1478. 6 indexed citations
18.
Yin, Jianqin, et al.. (2018). Temporal Action Detection Based on Action Temporal Semantic Continuity. IEEE Access. 6. 31677–31684. 5 indexed citations
19.
Yang, Ming, et al.. (2018). Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification. Asian Conference on Machine Learning. 1–16. 7 indexed citations
20.
Wang, Wentao, Yilong Yin, Hongjun Dai, & Wenhui Wang. (2010). Fingerprint Classification Algorithm Based on Multi-level Index. Jisuanji gongcheng. 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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