Yanming Guo

4.5k total citations · 2 hit papers
65 papers, 3.0k citations indexed

About

Yanming Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yanming Guo has authored 65 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Yanming Guo's work include Advanced Image and Video Retrieval Techniques (22 papers), Multimodal Machine Learning Applications (20 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Yanming Guo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (22 papers), Multimodal Machine Learning Applications (20 papers) and Domain Adaptation and Few-Shot Learning (18 papers). Yanming Guo collaborates with scholars based in China, Netherlands and Finland. Yanming Guo's co-authors include Yu Liu, Michael S. Lew, Songyang Lao, Ard Oerlemans, Song Wu, Michael S. Lew, Theodoros Georgiou, Erwin M. Bakker, Fenglei Wang and Guohui Li and has published in prestigious journals such as Angewandte Chemie International Edition, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Yanming Guo

57 papers receiving 2.9k citations

Hit Papers

Deep learning for visual understanding: A review 2015 2026 2018 2022 2015 2017 500 1000 1.5k
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. Deep learning for visual understanding: A review
    2015 1.7k citations Yanming Guo, Songyang Lao et al. profile →
  2. A review of semantic segmentation using deep neural networks
    2017 569 citations Yanming Guo et al. International Journal of Multimedia Information Retrieval profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanming Guo China 15 1.3k 1.0k 280 253 203 65 3.0k
Songyang Lao China 22 1.6k 1.3× 743 0.7× 210 0.8× 262 1.0× 171 0.8× 106 3.7k
Michael S. Lew Netherlands 16 1.3k 1.0× 728 0.7× 212 0.8× 208 0.8× 169 0.8× 34 2.7k
Peng-Tao Jiang China 10 1.2k 0.9× 792 0.8× 226 0.8× 266 1.1× 153 0.8× 16 2.3k
Meng-Hao Guo China 7 1.3k 1.0× 591 0.6× 221 0.8× 382 1.5× 188 0.9× 23 2.6k
Alexander A. Alemi United States 10 1.4k 1.1× 983 1.0× 465 1.7× 215 0.8× 197 1.0× 12 3.0k
Guanghui Wang China 34 1.7k 1.3× 657 0.7× 232 0.8× 308 1.2× 115 0.6× 210 3.4k
Zheng-Ning Liu China 7 1.3k 1.0× 583 0.6× 218 0.8× 379 1.5× 179 0.9× 10 2.5k
Laura Gustafson 3 2.0k 1.5× 927 0.9× 376 1.3× 405 1.6× 270 1.3× 4 4.1k
Eric Mintun United States 6 1.9k 1.5× 904 0.9× 373 1.3× 404 1.6× 267 1.3× 7 4.1k
Spencer Whitehead United States 9 2.0k 1.6× 1.0k 1.0× 379 1.4× 406 1.6× 270 1.3× 12 4.2k

Countries citing papers authored by Yanming Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yanming Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanming Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yanming Guo. A scholar is included among the top collaborators of Yanming 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 Yanming Guo. Yanming 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.
Wei, Yingmei, et al.. (2025). YOLO-SBA: A Multi-Scale and Complex Background Aware Framework for Remote Sensing Target Detection. Remote Sensing. 17(12). 1989–1989.
2.
Pu, Nan, et al.. (2025). Few-shot event-based action recognition. Neural Networks. 191. 107750–107750.
3.
4.
Guo, Yanming, et al.. (2025). BioLiteNet: A Biomimetic Lightweight Hyperspectral Image Classification Model. Remote Sensing. 17(16). 2833–2833.
5.
Xie, Donghai, Lin Guo, Yu Wu, et al.. (2025). Polarization Calibration Verification of the Directional Polarimetric Camera on the Terrestrial Ecosystem Carbon Inventory Satellite. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
6.
Wei, Yingmei, et al.. (2025). CME-YOLO: A Cross-Modal Enhanced YOLO Algorithm for Adverse Weather Object Detection in Autonomous Driving. Big Data and Cognitive Computing. 9(4). 92–92. 2 indexed citations
7.
Guo, Yanming, et al.. (2025). VMAD: Visual-Enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection. IEEE Transactions on Automation Science and Engineering. 23. 3607–3618. 2 indexed citations
8.
Sang, Haifeng & Yanming Guo. (2025). Important people detection based on multi-level key actor interaction graph. Signal Image and Video Processing. 19(5).
9.
Feng, Yifei, et al.. (2025). A survey of security threats in federated learning. Complex & Intelligent Systems. 11(2). 7 indexed citations
10.
Zhao, Minghao, Xue Wang, Mingming Gao, et al.. (2025). Co3+ in cobalt (100)/g-C3N4 facilitating the conversion of superoxide radicals into hydroxyl radicals and improving photocatalysis. Applied Surface Science. 706. 163536–163536. 2 indexed citations
11.
Bai, Liang, et al.. (2025). Fed-GCC: Global classifier consensus for conventional/task-free federated class-incremental learning. Knowledge-Based Systems. 327. 114131–114131. 1 indexed citations
12.
Yan, Jie, et al.. (2024). Exploring better image captioning with grid features. Complex & Intelligent Systems. 10(3). 3541–3556. 3 indexed citations
13.
Wei, Yingmei, et al.. (2024). Hybrid attentive prototypical network for few-shot action recognition. Complex & Intelligent Systems. 10(6). 8249–8272. 3 indexed citations
14.
Tang, Jun, et al.. (2024). GLC: A dual-perspective approach for identifying influential nodes in complex networks. Expert Systems with Applications. 268. 126292–126292. 17 indexed citations
15.
Yang, Junyan, Jie Jiang, & Yanming Guo. (2022). MHA-WoML: Multi-head attention and Wasserstein-OT for few-shot learning. International Journal of Multimedia Information Retrieval. 11(4). 681–694. 1 indexed citations
16.
Jiang, Jie, et al.. (2020). CFAM: Estimating 3D Hand Poses from a Single RGB Image with Attention. Applied Sciences. 10(2). 618–618. 2 indexed citations
17.
Guo, Yanming, et al.. (2018). Adaptive Triplet Model for Fine-Grained Visual Categorization. IEEE Access. 6. 76776–76786. 1 indexed citations
18.
Guo, Yanming, et al.. (2016). Bag of Surrogate Parts: one inherent feature of deep CNNs. 96.1–96.12. 7 indexed citations
19.
Palakal, Mathew, et al.. (2006). A Grid-Based Pseudo-Cache solution for MISD biomedical problems with high confidentiality and efficiency. International Journal of Bioinformatics Research and Applications. 2(3). 259–259. 7 indexed citations
20.
Guo, Yanming, et al.. (2004). One‐Pot Optical Resolution of Oligopeptide Helices through Artificial Peptide Bundling. Angewandte Chemie International Edition. 43(37). 4915–4918. 32 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

Breakdown of academic impact, for papers by Songyang Lao Breakdown of academic impact, for papers by Michael S. Lew Breakdown of academic impact, for papers by Peng-Tao Jiang Breakdown of academic impact, for papers by Meng-Hao Guo Breakdown of academic impact, for papers by Alexander A. Alemi Breakdown of academic impact, for papers by Guanghui Wang Breakdown of academic impact, for papers by Zheng-Ning Liu Breakdown of academic impact, for papers by Laura Gustafson Breakdown of academic impact, for papers by Eric Mintun Breakdown of academic impact, for papers by Spencer Whitehead
Rankless by CCL
2026