Chenlei Guo

2.2k total citations · 2 hit papers
27 papers, 1.5k citations indexed

About

Chenlei Guo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenlei Guo has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenlei Guo's work include Topic Modeling (16 papers), Speech and dialogue systems (9 papers) and Natural Language Processing Techniques (9 papers). Chenlei Guo is often cited by papers focused on Topic Modeling (16 papers), Speech and dialogue systems (9 papers) and Natural Language Processing Techniques (9 papers). Chenlei Guo collaborates with scholars based in United States, Germany and China. Chenlei Guo's co-authors include Liming Zhang, Qi Ma, Xing Fan, Benjamin Yao, Ling Yuan, Gustavo Aguilar, Yu Zhang, Ruhi Sarikaya, Saurabh Gupta and Xiujun Li and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering and AI Magazine.

In The Last Decade

Chenlei Guo

24 papers receiving 1.4k citations

Hit Papers

A Novel Multiresolution Spatiotemporal Saliency Detection... 2008 2026 2014 2020 2009 2008 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
    2009 690 citations Chenlei Guo, Liming Zhang IEEE Transactions on Image Processing profile →
  2. Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform
    2008 521 citations Chenlei Guo, Qi Ma et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenlei Guo United States 10 1.2k 309 225 215 157 27 1.5k
Aykut Erdem Türkiye 20 1.4k 1.1× 109 0.4× 338 1.5× 108 0.5× 189 1.2× 68 1.6k
Tiantian Wang China 13 936 0.8× 126 0.4× 150 0.7× 285 1.3× 116 0.7× 40 1.2k
Ali Borji United States 8 1.3k 1.1× 336 1.1× 89 0.4× 531 2.5× 88 0.6× 14 1.6k
Xavier Boix United States 12 896 0.7× 78 0.3× 149 0.7× 151 0.7× 142 0.9× 39 1.1k
Naila Murray France 12 1.2k 0.9× 151 0.5× 183 0.8× 328 1.5× 138 0.9× 19 1.3k
Mengyang Feng China 10 1.6k 1.3× 225 0.7× 99 0.4× 445 2.1× 188 1.2× 13 1.7k
Simone Frintrop Germany 22 1.5k 1.2× 267 0.9× 98 0.4× 324 1.5× 98 0.6× 62 1.7k
Tilke Judd United States 8 1.9k 1.6× 446 1.4× 62 0.3× 533 2.5× 101 0.6× 10 2.2k
Luca Marchesotti Italy 11 1.2k 1.0× 108 0.3× 85 0.4× 439 2.0× 124 0.8× 27 1.4k
Lingyun Zhang China 9 1.2k 0.9× 373 1.2× 32 0.1× 463 2.2× 92 0.6× 22 1.3k

Countries citing papers authored by Chenlei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chenlei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenlei Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Chenlei Guo. A scholar is included among the top collaborators of Chenlei 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 Chenlei Guo. Chenlei 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.
Liu, Xiaohu, et al.. (2024). A Self-Learning Framework for Large-Scale Conversational AI Systems. IEEE Computational Intelligence Magazine. 19(2). 34–48. 3 indexed citations
2.
Aguilar, Gustavo, et al.. (2023). PersonalTM: Transformer Memory for Personalized Retrieval. 2256–2260.
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Hao, Jie, Yang Liu, Xing Fan, et al.. (2022). CGF: Constrained Generation Framework for Query Rewriting in Conversational AI. 475–483. 5 indexed citations
7.
Li, Dingcheng, Zheng Chen, Eunah Cho, et al.. (2022). Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5441–5454. 10 indexed citations
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Yi, Yi, et al.. (2022). Feedback-Based Self-Learning in Large-Scale Conversational AI Agents. AI Magazine. 42(4). 43–56. 5 indexed citations
10.
Huang, Che-Wei, et al.. (2022). Incremental User Embedding Modeling for Personalized Text Classification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7832–7836. 3 indexed citations
11.
Yi, Yi, et al.. (2021). Feedback‐based self‐learning in large‐scale conversational AI agents. AI Magazine. 42(4). 43–56. 12 indexed citations
12.
Ding, Kaize, Dingcheng Li, Xing Fan, et al.. (2021). Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5930–5940. 4 indexed citations
13.
Wang, Zhuoyi, Saurabh Gupta, Jie Hao, et al.. (2021). Contextual Rephrase Detection for Reducing Friction in Dialogue Systems. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1899–1905. 6 indexed citations
14.
Yuan, Ling, et al.. (2020). IQ-Net: A DNN Model for Estimating Interaction-level Dialogue Quality with Conversational Agents.. Knowledge Discovery and Data Mining. 3 indexed citations
15.
Guo, Chenlei, et al.. (2020). Feedback-Based Self-Learning in Large-Scale Conversational AI Agents. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13180–13187. 18 indexed citations
16.
Li, Xiujun, et al.. (2014). Deep Learning Powered In-Session Contextual Ranking using Clickthrough Data. 19 indexed citations
17.
Guo, Chenlei, et al.. (2010). Real-Time Robust Signal Space Separation for Magnetoencephalography. IEEE Transactions on Biomedical Engineering. 57(8). 1856–1866. 6 indexed citations
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19.
Guo, Chenlei & Liming Zhang. (2009). A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression. IEEE Transactions on Image Processing. 19(1). 185–198. 690 indexed citations breakdown →
20.
Guo, Chenlei, Qi Ma, & Liming Zhang. (2008). Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform. 1–8. 521 indexed citations breakdown →

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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