Guorong Li

5.4k total citations · 1 hit paper
128 papers, 3.6k citations indexed

About

Guorong Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Guorong Li has authored 128 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 14 papers in Information Systems. Recurrent topics in Guorong Li's work include Video Surveillance and Tracking Methods (44 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Human Pose and Action Recognition (20 papers). Guorong Li is often cited by papers focused on Video Surveillance and Tracking Methods (44 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Human Pose and Action Recognition (20 papers). Guorong Li collaborates with scholars based in China, United States and Australia. Guorong Li's co-authors include Qingming Huang, Bineng Zhong, Rongrong Ji, Jun Huang, Shengping Zhang, Xindong Wu, Shuhui Wang, Weigang Zhang, Nicu Sebe and Bingpeng Ma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The FASEB Journal and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Guorong Li

122 papers receiving 3.5k citations

Hit Papers

Siamese Box Adaptive Network for Visual Tracking 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guorong Li China 27 2.4k 1.2k 479 301 292 128 3.6k
Jiquan Ngiam United States 12 1.9k 0.8× 1.3k 1.1× 275 0.6× 105 0.3× 94 0.3× 16 3.4k
Zhijun Fang China 27 2.0k 0.8× 650 0.5× 149 0.3× 195 0.6× 119 0.4× 162 3.0k
Xiaopeng Hong China 35 3.3k 1.4× 1.7k 1.4× 134 0.3× 190 0.6× 73 0.3× 146 4.8k
Arif Mahmood Pakistan 28 1.7k 0.7× 887 0.7× 163 0.3× 99 0.3× 141 0.5× 121 2.7k
Xin Yu China 36 2.9k 1.2× 769 0.6× 420 0.9× 46 0.2× 80 0.3× 260 4.3k
Hua Yang China 31 1.4k 0.6× 745 0.6× 124 0.3× 41 0.1× 110 0.4× 218 2.9k
Tianyi Zhou United States 25 1.1k 0.4× 1.5k 1.2× 134 0.3× 27 0.1× 236 0.8× 108 3.1k
Yang Cao China 28 2.7k 1.1× 769 0.6× 219 0.5× 85 0.3× 81 0.3× 200 4.1k
Yuan Xie China 36 4.5k 1.9× 1.2k 1.0× 197 0.4× 205 0.7× 83 0.3× 175 5.6k

Countries citing papers authored by Guorong Li

Since Specialization
Citations

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

Fields of papers citing papers by Guorong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guorong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guorong Li. A scholar is included among the top collaborators of Guorong Li 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 Guorong Li. Guorong Li 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, Yuqing, et al.. (2025). Boosting UAV Detection via Memory-Enhanced Attention and Contrastive Learning. IEEE Signal Processing Letters. 32. 3132–3136.
2.
Zhang, Chen, Guorong Li, Yuankai Qi, et al.. (2025). Dynamic Erasing Network With Adaptive Temporal Modeling for Weakly Supervised Video Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16706–16720. 1 indexed citations
3.
Zheng, Yaozong, Bineng Zhong, Qihua Liang, et al.. (2025). Towards Universal Modal Tracking With Online Dense Temporal Token Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10192–10209. 1 indexed citations
4.
Yu, Xuehui, Wenwen Yu, Guorong Li, et al.. (2024). ClickTrack: Towards real-time interactive single object tracking. Pattern Recognition. 161. 111211–111211.
5.
Wang, Zhenyu, et al.. (2024). A novel solar irradiance forecasting method based on multi-physical process of atmosphere optics and LSTM-BP model. Renewable Energy. 226. 120367–120367. 12 indexed citations
6.
Li, Guorong, et al.. (2024). Optimization of Hydrogen Production System Performance Using Photovoltaic/Thermal-Coupled PEM. Energies. 17(21). 5405–5405. 6 indexed citations
7.
Li, Guorong, et al.. (2024). Rethink video retrieval representation for video captioning. Pattern Recognition. 156. 110744–110744. 6 indexed citations
8.
Li, Guorong, et al.. (2024). Boost Tracking by Natural Language With Prompt-Guided Grounding. IEEE Transactions on Intelligent Transportation Systems. 26(1). 1088–1100. 1 indexed citations
9.
Li, Guorong, Yuankai Qi, Zhenjun Han, et al.. (2024). Consistency-Aware Anchor Pyramid Network for Crowd Localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. PP. 1–15. 1 indexed citations
10.
Yu, Xuehui, Pengfei Chen, Guorong Li, et al.. (2024). CPR++: Object Localization via Single Coarse Point Supervision. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4908–4925. 4 indexed citations
11.
Li, Guorong, et al.. (2024). SpikeODE: Image Reconstruction for Spike Camera With Neural Ordinary Differential Equation. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11142–11155. 1 indexed citations
12.
Qi, Yuankai, et al.. (2023). Progressive Multi-Resolution Loss for Crowd Counting. IEEE Transactions on Circuits and Systems for Video Technology. 34(5). 3232–3244. 11 indexed citations
13.
Yu, Xuehui, Guorong Li, Jian Zhao, et al.. (2022). Rethinking Sampling Strategies for Unsupervised Person Re-Identification. IEEE Transactions on Image Processing. 32. 29–42. 38 indexed citations
14.
Chen, Weidong, Guorong Li, Xinfeng Zhang, et al.. (2022). Weakly Supervised Text-based Actor-Action Video Segmentation by Clip-level Multi-instance Learning. ACM Transactions on Multimedia Computing Communications and Applications. 19(1). 1–22. 13 indexed citations
15.
Li, Guorong, et al.. (2022). Self Supervised Progressive Network for High Performance Video Object Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7671–7684. 4 indexed citations
16.
Wen, Longyin, et al.. (2021). Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer. IEEE Transactions on Image Processing. 30. 2501–2512. 15 indexed citations
17.
Yang, Yifan, Guorong Li, Dawei Du, Qingming Huang, & Nicu Sebe. (2020). Embedding Perspective Analysis Into Multi-Column Convolutional Neural Network for Crowd Counting. IEEE Transactions on Image Processing. 30. 1395–1407. 48 indexed citations
18.
Wen, Longyin, et al.. (2020). Self-Supervised Deep TripleNet for Video Object Segmentation. IEEE Transactions on Multimedia. 23. 3530–3539. 17 indexed citations
19.
Yu, Hongyang, Guorong Li, Li Su, et al.. (2019). Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos. Pattern Recognition Letters. 131. 219–226. 20 indexed citations
20.
Xue, Zhe, Junping Du, Dawei Du, et al.. (2019). Deep Constrained Low-Rank Subspace Learning for Multi-View Semi-Supervised Classification. IEEE Signal Processing Letters. 26(8). 1177–1181. 16 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026