Yonghong Tian

16.0k total citations · 7 hit papers
306 papers, 8.7k citations indexed

About

Yonghong Tian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yonghong Tian has authored 306 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Computer Vision and Pattern Recognition, 92 papers in Artificial Intelligence and 52 papers in Electrical and Electronic Engineering. Recurrent topics in Yonghong Tian's work include Video Surveillance and Tracking Methods (62 papers), Advanced Image and Video Retrieval Techniques (50 papers) and Advanced Neural Network Applications (49 papers). Yonghong Tian is often cited by papers focused on Video Surveillance and Tracking Methods (62 papers), Advanced Image and Video Retrieval Techniques (50 papers) and Advanced Neural Network Applications (49 papers). Yonghong Tian collaborates with scholars based in China, United States and United Kingdom. Yonghong Tian's co-authors include Tiejun Huang, Yaowei Wang, Jia Li, Rongrong Ji, Peixi Peng, Wen Gao, Zhaofei Yu, Mingbao Lin, Baochang Zhang and Lu Pang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yonghong Tian

286 papers receiving 8.5k citations

Hit Papers

HRank: Filter Pruning Using High-Rank Feature Map 2016 2026 2019 2022 2020 2016 2021 2021 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonghong Tian China 50 5.6k 2.5k 1.5k 912 889 306 8.7k
Tiejun Huang China 47 5.2k 0.9× 1.7k 0.7× 1.4k 0.9× 931 1.0× 819 0.9× 351 8.5k
Baocai Yin China 39 4.1k 0.7× 1.4k 0.6× 530 0.4× 462 0.5× 769 0.9× 446 7.8k
Sergey Karayev United States 9 5.9k 1.1× 2.3k 0.9× 644 0.4× 225 0.2× 878 1.0× 13 8.1k
Guiguang Ding China 51 7.5k 1.3× 4.6k 1.8× 444 0.3× 423 0.5× 1.0k 1.1× 187 11.8k
Weiming Hu China 51 8.8k 1.6× 3.0k 1.2× 575 0.4× 351 0.4× 701 0.8× 306 11.5k
Tong Zhang China 40 2.5k 0.4× 4.0k 1.6× 408 0.3× 708 0.8× 756 0.9× 213 7.9k
Yu–Gang Jiang China 56 8.5k 1.5× 4.5k 1.8× 1.0k 0.7× 182 0.2× 625 0.7× 289 12.5k
Huaping Liu China 44 2.9k 0.5× 1.7k 0.7× 587 0.4× 791 0.9× 561 0.6× 450 7.9k
Rita Cucchiara Italy 42 7.9k 1.4× 2.2k 0.9× 857 0.6× 177 0.2× 533 0.6× 387 10.1k
Yang Yang China 53 7.4k 1.3× 4.3k 1.7× 781 0.5× 197 0.2× 517 0.6× 499 10.9k

Countries citing papers authored by Yonghong Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yonghong Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghong Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghong Tian. A scholar is included among the top collaborators of Yonghong Tian 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 Yonghong Tian. Yonghong Tian 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.
Chang, Yi, et al.. (2025). NER-Net+: Seeing Motion at Nighttime With an Event Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4768–4786. 2 indexed citations
2.
Wang, Xiao, Pengpeng Shao, Wei Zhang, et al.. (2025). Retain, Blend, and Exchange: A Quality-Aware Spatial-Stereo Fusion Approach for Event Stream Recognition. IEEE Transactions on Multimedia. 27. 8926–8939.
3.
Ma, Li, Yifan Zhao, Peixi Peng, & Yonghong Tian. (2024). Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Transactions on Image Processing. 33. 3620–3633. 5 indexed citations
4.
Sun, Bo, et al.. (2024). A fuzzy logic constrained particle swarm optimization algorithm for industrial design problems. Applied Soft Computing. 167. 112456–112456. 3 indexed citations
5.
He, Weihua, Yihan Lin, Yang Tian, et al.. (2024). Network model with internal complexity bridges artificial intelligence and neuroscience. Nature Computational Science. 4(8). 584–599. 6 indexed citations
6.
Zhao, Yifan, Jia Li, & Yonghong Tian. (2024). Parsing Objects at a Finer Granularity: A Survey. 21(3). 431–451.
7.
Wang, Changdong, et al.. (2024). Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy. IEEE Transactions on Knowledge and Data Engineering. 36(12). 9249–9262. 1 indexed citations
8.
Wang, Tao, Xiaopeng Zhang, Francis E. H. Tay, et al.. (2023). Learnable Central Similarity Quantization for Efficient Image and Video Retrieval. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18717–18730. 8 indexed citations
9.
Hu, Wenze, Yaowei Wang, Yonghong Tian, et al.. (2023). Universal Object Detection with Large Vision Model. International Journal of Computer Vision. 132(4). 1258–1276. 5 indexed citations
10.
Xu, Long, Xiaoshuai Zhu, Sixuan Liu, et al.. (2023). A Large-Scale Dataset of Three-Dimensional Solar Magnetic Fields Extrapolated by Nonlinear Force-Free Method. Scientific Data. 10(1). 178–178. 3 indexed citations
11.
Zheng, Xiawu, et al.. (2023). Knowledge Prompt-tuning for Sequential Recommendation. 6451–6461. 13 indexed citations
12.
Ning, Munan, Donghuan Lu, Yujia Xie, et al.. (2023). MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13553–13566. 4 indexed citations
13.
Tian, Zhiyi, et al.. (2023). The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers. IEEE Transactions on Dependable and Secure Computing. 21(4). 2407–2420. 6 indexed citations
14.
Wei, Tao, Yonghong Tian, Yaowei Wang, Yun Liang, & Chang Wen Chen. (2022). Optimized separable convolution: Yet another efficient convolution operator. SHILAP Revista de lepidopterología. 3. 162–171. 6 indexed citations
15.
Zhao, Yifan, Jia Li, Xiaowu Chen, & Yonghong Tian. (2021). Part-Guided Relational Transformers for Fine-Grained Visual Recognition. IEEE Transactions on Image Processing. 30. 9470–9481. 36 indexed citations
16.
Wang, Yaowei, et al.. (2020). End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. 233–236. 2 indexed citations
17.
Li, Jianing, Siwei Dong, Zhaofei Yu, Yonghong Tian, & Tiejun Huang. (2019). Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving. 1396–1401. 50 indexed citations
18.
Dong, Siwei, et al.. (2019). Introduction to AVS2 Scene Video Coding Techniques. ZTE communications. 14(1). 50–53. 1 indexed citations
19.
Jiang, Menglin, et al.. (2011). PKU-IDM @TRECVID2011 CBCD: Content-Based Copy Detection with Cascade of Multimodal Features and Temporal Pyramid Matching.. TRECVID. 3 indexed citations
20.
Zhou, Zhi, Yonghong Tian, Yuanning Li, et al.. (2008). PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval.. CLEF (Working Notes). 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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