Anjing Guo

1.2k total citations · 1 hit paper
10 papers, 789 citations indexed

About

Anjing Guo is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Anjing Guo has authored 10 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Media Technology, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Biomedical Engineering. Recurrent topics in Anjing Guo's work include Advanced Image Fusion Techniques (7 papers), Image and Signal Denoising Methods (5 papers) and Remote-Sensing Image Classification (5 papers). Anjing Guo is often cited by papers focused on Advanced Image Fusion Techniques (7 papers), Image and Signal Denoising Methods (5 papers) and Remote-Sensing Image Classification (5 papers). Anjing Guo collaborates with scholars based in China and Japan. Anjing Guo's co-authors include Shutao Li, Renwei Dian, Leyuan Fang, Bin Sun, Wei Fu, Kexin Ding, Ting Lu, Min Qi, Shangce Gao and Yang Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Information Fusion.

In The Last Decade

Anjing Guo

10 papers receiving 777 citations

Hit Papers

align trajectories

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.

Deep Hyperspectral Image Sharpening

2018 327 citations Renwei Dian, Shutao Li et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Countries citing papers authored by Anjing Guo

Since Specialization

Citations

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

Fields of papers citing papers by Anjing Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjing Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Anjing Guo. A scholar is included among the top collaborators of Anjing 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 Anjing Guo. Anjing Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

#	Work	Indexed citations
1	Surface defect detection competition with a bio-inspired vision sensor 2023 ·National Science Review ·Anjing Guo, (unknown), Renwei Dian, Fuyan Ma, Jinjian Wu, Shutao Li	3
2	Zero-Shot Hyperspectral Sharpening 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Renwei Dian, Anjing Guo, Shutao Li	76
3	An adaptive position-guided gravitational search algorithm for function optimization and image threshold segmentation 2023 ·Engineering Applications of Artificial Intelligence ·Anjing Guo, Yirui Wang, Lijun Guo, Rong Zhang, Yang Yu, Shangce Gao	24
4	Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data 2022 ·Information Fusion ·Ting Lu, Kexin Ding, Wei Fu, Shutao Li, Anjing Guo	94
5	A Deep Framework for Hyperspectral Image Fusion between Different Satellites 2022 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Anjing Guo, Renwei Dian, Shutao Li	35
6	Joint Image Registration and Blur Kernel Learning for Pansharpening 2021 ·Anjing Guo, Yue Wu, Shutao Li	1
7	Recent advances and new guidelines on hyperspectral and multispectral image fusion 2020 ·Information Fusion ·Renwei Dian, Shutao Li, Bin Sun, Anjing Guo	186
8	Unsupervised Blur Kernel Learning for Pansharpening 2020 ·Anjing Guo, Renwei Dian, Shutao Li	9
9	Unsupervised Denoising of Optical Coherence Tomography Images With Nonlocal-Generative Adversarial Network 2020 ·IEEE Transactions on Instrumentation and Measurement ·Anjing Guo, Leyuan Fang, Min Qi, Shutao Li	34
10	Deep Hyperspectral Image Sharpening breakdown → 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Renwei Dian, Shutao Li, Anjing Guo, Leyuan Fang	327

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