Xirong Li

6.7k total citations · 2 hit papers
119 papers, 3.3k citations indexed

About

Xirong Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xirong Li has authored 119 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xirong Li's work include Advanced Image and Video Retrieval Techniques (58 papers), Multimodal Machine Learning Applications (39 papers) and Image Retrieval and Classification Techniques (34 papers). Xirong Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (58 papers), Multimodal Machine Learning Applications (39 papers) and Image Retrieval and Classification Techniques (34 papers). Xirong Li collaborates with scholars based in China, Netherlands and United States. Xirong Li's co-authors include Cees G. M. Snoek, Marcel Worring, Rui Qian, Jianfeng Dong, Xin-Ji Lai, Gang Yang, Juan Cao, Chaoxi Xu, Xinru Chen and Wei‐Ying Ma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemistry of Materials and Energy Conversion and Management.

In The Last Decade

Xirong Li

109 papers receiving 3.1k citations

Hit Papers

3D Object Detection for Autonomous Driving: A Survey 2022 2026 2023 2024 2022 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xirong Li China 32 2.4k 770 281 262 194 119 3.3k
Tim Ellis United Kingdom 28 1.9k 0.8× 621 0.8× 144 0.5× 222 0.8× 92 0.5× 133 2.8k
George Azzopardi Netherlands 22 1.0k 0.4× 293 0.4× 740 2.6× 98 0.4× 555 2.9× 74 2.2k
Takahiro Okabe Japan 28 1.6k 0.7× 150 0.2× 187 0.7× 191 0.7× 180 0.9× 138 2.8k
Xenophon Zabulis Greece 25 1.1k 0.5× 94 0.1× 321 1.1× 111 0.4× 186 1.0× 138 2.2k
Nader Karimi Iran 20 958 0.4× 471 0.6× 301 1.1× 195 0.7× 40 0.2× 114 1.7k
Li Liu China 36 3.5k 1.4× 1.2k 1.5× 97 0.3× 277 1.1× 15 0.1× 144 4.5k
Jie Qin China 30 2.0k 0.8× 1.2k 1.6× 175 0.6× 255 1.0× 7 0.0× 184 3.5k
Jacob Scharcanski Brazil 26 1.1k 0.4× 515 0.7× 468 1.7× 256 1.0× 315 1.6× 116 2.1k
Zhitao Xiao China 19 415 0.2× 241 0.3× 285 1.0× 114 0.4× 96 0.5× 126 1.3k

Countries citing papers authored by Xirong Li

Since Specialization
Citations

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

Fields of papers citing papers by Xirong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xirong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xirong Li. A scholar is included among the top collaborators of Xirong 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 Xirong Li. Xirong 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.
Xu, Yu, et al.. (2025). Attribute guided adversarial editing for face privacy protection. Visual Informatics. 9(4). 100267–100267.
2.
Lin, Shuo, Baoping Zhang, Tie‐Yu Lü, et al.. (2025). A systematic study on the optical properties and photovoltaic performance of SnS solar cells using Bethe-Salpeter equation and device simulation. Renewable Energy. 252. 123522–123522. 1 indexed citations
3.
Zhou, Yang, Jianchun Zhao, Hongzhe Zhang, et al.. (2025). Diagnostic performance and generalizability of deep learning for multiple retinal diseases using bimodal imaging of fundus photography and optical coherence tomography. Frontiers in Cell and Developmental Biology. 13. 1665173–1665173.
4.
Xie, Ruobing, et al.. (2025). PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset. 19857–19866. 1 indexed citations
5.
Li, Xirong, et al.. (2023). Geometrized Transformer for Self-Supervised Homography Estimation. 9522–9531. 9 indexed citations
6.
Li, Bing, Huan Chen, Mingzhen Yuan, et al.. (2021). Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography. British Journal of Ophthalmology. 106(8). bjophthalmol–2020. 31 indexed citations
7.
Zhang, Xiao, Xiaoxu Han, Huan Chen, et al.. (2021). Automated detection of severe diabetic retinopathy using deep learning method. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(3). 849–856. 27 indexed citations
8.
Li, Xirong, et al.. (2020). Renmin University of China at TRECVID 2020: Sentence Encoder Assembly for Ad-hoc Video Search.. TRECVID. 1 indexed citations
9.
Liu, Yutong, Jingyuan Yang, Yang Zhou, et al.. (2020). Prediction of OCT images of short-term response to anti-VEGF treatment for neovascular age-related macular degeneration using generative adversarial network. British Journal of Ophthalmology. 104(12). 1735–1740. 47 indexed citations
10.
Li, Xirong, et al.. (2019). Renmin University of China and Zhejiang Gongshang University at TRECVID 2019: Learn to Search and Describe Videos.. TRECVID. 6 indexed citations
11.
Dong, Jianfeng, Xirong Li, Chaoxi Xu, Shouling Ji, & Xun Wang. (2018). Dual Dense Encoding for Zero-Example Video Retrieval.. arXiv (Cornell University). 4 indexed citations
12.
Liu, Jinlu, et al.. (2018). Cross-Class Sample Synthesis for Zero-shot Learning.. British Machine Vision Conference. 113. 11 indexed citations
13.
Li, Xirong, Jianfeng Dong, Chaoxi Xu, et al.. (2018). Renmin University of China and Zhejiang Gongshang University at TRECVID 2018: Deep Cross-Modal Embeddings for Video-Text Retrieval.. TRECVID. 9 indexed citations
14.
Jin, Qin, et al.. (2015). RUCMM at MediaEval 2015 Affective Impact of Movies Task: Fusion of Audio and Visual Cues. MediaEval. 7 indexed citations
15.
Li, Xirong, Qin Jin, Junwei Liang, et al.. (2015). RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation. CLEF (Working Notes). 2 indexed citations
16.
Li, Xirong, Xixi He, Gang Yang, Qin Jin, & Jieping Xu. (2013). Renmin University of China at ImageCLEF 2013 Scalable Concept Image Annotation. CLEF (Working Notes). 380–385. 4 indexed citations
17.
Liu, Hui, et al.. (2013). [Field evaluation of SD(BIOLINE) malaria antigen Plasmodium falciparum/Plasmodium vivax rapid test kit].. PubMed. 31(2). 160–1. 1 indexed citations
18.
Wang, Xinjing, Lei Zhang, Xirong Li, & Wei‐Ying Ma. (2008). Annotating Images by Mining Image Search Results. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(11). 1919–1932. 124 indexed citations
19.
Cao, Jie, Jianmin Li, Qiang Li, et al.. (2006). Intelligent Multimedia Group of Tsinghua University at TRECVID 2006. TRECVID. 20 indexed citations
20.
Yuan, Jinhui, Huiyi Wang, Dong Wang, et al.. (2005). Tsinghua University at TRECVID 2005. TRECVID. 19 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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