Longteng Guo

893 total citations
24 papers, 386 citations indexed

About

Longteng Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Longteng Guo has authored 24 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Longteng Guo's work include Multimodal Machine Learning Applications (17 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Longteng Guo is often cited by papers focused on Multimodal Machine Learning Applications (17 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Longteng Guo collaborates with scholars based in China and Australia. Longteng Guo's co-authors include Jing Liu, Hanqing Lu, Peng Yao, Shichen Lu, Xinxin Zhu, Jiangyun Li, Peng Yao, Weicun Zhang, Wei Wen and Xingjian He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Pattern Recognition.

In The Last Decade

Longteng Guo

21 papers receiving 378 citations

Peers

Longteng Guo
Ruket Çakıcı Türkiye
Matteo Stefanini Italy
Alberto Baldrati Italy
Yehao Li China
Kevin Qinghong Lin Singapore
Ruotian Luo United States
Lucas Smaira United Kingdom
Yunpeng Luo China
Ruket Çakıcı Türkiye
Longteng Guo
Citations per year, relative to Longteng Guo Longteng Guo (= 1×) peers Ruket Çakıcı

Countries citing papers authored by Longteng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Longteng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longteng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Longteng Guo. A scholar is included among the top collaborators of Longteng Guo 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 Longteng Guo. Longteng Guo 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.
Guo, Longteng, et al.. (2025). ChatSearch: A dataset and a generative retrieval model for general conversational image retrieval. Pattern Recognition. 167. 111696–111696.
2.
Huo, Yuqi, Longteng Guo, Haoyu Lu, et al.. (2025). Efficient Motion-Aware Video MLLM. 24159–24168.
3.
Lu, Shichen, et al.. (2024). Collaborative Training of Tiny-Large Vision Language Models. 4928–4937. 1 indexed citations
4.
Liu, Jing, Xingjian He, Longteng Guo, et al.. (2024). VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 708–724. 8 indexed citations
5.
Jiang, Jie, et al.. (2024). A hybrid local-global neural network for visual classification using raw EEG signals. Scientific Reports. 14(1). 27170–27170. 4 indexed citations
6.
Chen, Junyi, et al.. (2024). EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1110–1119. 1 indexed citations
7.
Wang, Qunbo, et al.. (2024). Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering. 1857–1868. 1 indexed citations
8.
Wang, Wenxuan, et al.. (2024). Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation. 12998–13008. 1 indexed citations
9.
Guo, Longteng, Xingyuan Dai, Xingjian He, et al.. (2024). SC- Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models. 13073–13083. 4 indexed citations
10.
Wang, Weining, et al.. (2024). MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation. 10853–10861.
11.
Wang, Wenxuan, et al.. (2024). CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. IEEE Transactions on Multimedia. 26. 6906–6916. 8 indexed citations
12.
Guo, Longteng, et al.. (2023). MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. 1528–1538. 5 indexed citations
13.
Liu, Zikang, et al.. (2023). Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner. 5120–5131. 1 indexed citations
14.
Zhu, Xinxin, et al.. (2021). MM21 Pre-training for Video Understanding Challenge. 4853–4857. 3 indexed citations
15.
Yao, Peng, Jiangyun Li, Longteng Guo, & Jing Liu. (2020). Modeling Local and Global Contexts for Image Captioning. 1–6. 1 indexed citations
16.
Zhu, Xinxin, Longteng Guo, Shichen Lu, et al.. (2019). Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019.. arXiv (Cornell University). 2 indexed citations
17.
Li, Jiangyun, Peng Yao, Longteng Guo, & Weicun Zhang. (2019). Boosted Transformer for Image Captioning. Applied Sciences. 9(16). 3260–3260. 32 indexed citations
18.
Guo, Longteng, Jing Liu, Shichen Lu, & Hanqing Lu. (2019). Show, Tell, and Polish: Ruminant Decoding for Image Captioning. IEEE Transactions on Multimedia. 22(8). 2149–2162. 42 indexed citations
19.
Zhu, Xinxin, Lixiang Li, Jing Liu, et al.. (2018). Image Captioning with Word Gate and Adaptive Self-Critical Learning. Applied Sciences. 8(6). 909–909. 2 indexed citations
20.
Guo, Longteng, et al.. (2017). Sketch-based Image Retrieval using Generative Adversarial Networks. 1267–1268. 26 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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