Hongbin Guo

453 total citations
22 papers, 325 citations indexed

About

Hongbin Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Hongbin Guo has authored 22 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Mathematical Physics. Recurrent topics in Hongbin Guo's work include Medical Imaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Hongbin Guo is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Hongbin Guo collaborates with scholars based in United States, China and Cyprus. Hongbin Guo's co-authors include Rosemary A. Renaut, Kewei Chen, Eric M. Reiman, C. L. Philip Chen, Bin Sheng, Ping Li, Youzuo Lin, Brendt Wohlberg, Svetlana Roudenko and Weili Guan and has published in prestigious journals such as IEEE Transactions on Cybernetics, Signal Processing and Alzheimer s & Dementia.

In The Last Decade

Hongbin Guo

22 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongbin Guo United States 8 140 124 49 39 38 22 325
Marc Droske Germany 12 294 2.1× 84 0.7× 111 2.3× 9 0.2× 16 0.4× 23 424
J.M.M. Anderson United States 10 111 0.8× 124 1.0× 73 1.5× 10 0.3× 17 0.4× 57 346
Carole Le Guyader France 11 311 2.2× 84 0.7× 98 2.0× 16 0.4× 35 0.9× 39 426
Luca Calatroni France 10 144 1.0× 21 0.2× 97 2.0× 34 0.9× 23 0.6× 34 292
Rodrigo Lecaros Chile 7 167 1.2× 15 0.1× 28 0.6× 19 0.5× 33 0.9× 22 317
Caroline Chaux France 10 264 1.9× 36 0.3× 124 2.5× 19 0.5× 22 0.6× 27 390
Yuesheng Xu United States 6 98 0.7× 16 0.1× 63 1.3× 30 0.8× 29 0.8× 10 321
Triet Le United States 9 463 3.3× 66 0.5× 176 3.6× 32 0.8× 15 0.4× 17 636
Egil Bae Norway 9 309 2.2× 68 0.5× 107 2.2× 6 0.2× 46 1.2× 15 436
Yongfei Wu China 10 263 1.9× 36 0.3× 31 0.6× 9 0.2× 55 1.4× 31 361

Countries citing papers authored by Hongbin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hongbin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbin Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbin Guo. A scholar is included among the top collaborators of Hongbin 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 Hongbin Guo. Hongbin 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.
Jing, Peiguang, Weili Guan, Xu Bai, Hongbin Guo, & Yuting Su. (2020). Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning. Multimedia Tools and Applications. 79(17-18). 11767–11785. 3 indexed citations
2.
Guo, Hongbin. (2011). Stability and Thermal Degradation Kinetics of Polyphenols from the Whole plant of Geum japonicum Thunb variant. Food Science. 1 indexed citations
3.
Guo, Hongbin & Rosemary A. Renaut. (2011). Revisiting stopping rules for iterative methods used in emission tomography. Computerized Medical Imaging and Graphics. 35(5). 398–406. 6 indexed citations
4.
Chen, Kewei, et al.. (2011). Wavelet-Based De-noising of Positron Emission Tomography Scans. Journal of Scientific Computing. 50(3). 665–677. 11 indexed citations
5.
Renaut, Rosemary A., Youzuo Lin, & Hongbin Guo. (2011). Multisplitting for regularized least squares with Krylov subspace recycling. Numerical Linear Algebra with Applications. 19(4). 655–676. 5 indexed citations
6.
Guo, Hongbin, Rosemary A. Renaut, Kewei Chen, & Eric M. Reiman. (2010). Reducing modeling error of graphical methods for estimating volume of distribution measurements in PIB–PET study. Mathematical Biosciences. 226(2). 134–146. 4 indexed citations
7.
Lin, Youzuo, Brendt Wohlberg, & Hongbin Guo. (2010). UPRE method for total variation parameter selection. Signal Processing. 90(8). 2546–2551. 46 indexed citations
8.
Guo, Hongbin, et al.. (2010). A new SVM model for classifying genetic data. 54–60. 1 indexed citations
9.
Guo, Hongbin, Rosemary A. Renaut, Kewei Chen, & Eric M. Reiman. (2009). FDG–PET parametric imaging by total variation minimization. Computerized Medical Imaging and Graphics. 33(4). 295–303. 16 indexed citations
10.
Guo, Hongbin, Kewei Chen, Rosemary A. Renaut, & Eric M. Reiman. (2009). Reducing the noise effects in Logan graphic analysis for PET receptor measurements. 41. 1–5. 1 indexed citations
11.
Renaut, Rosemary A., et al.. (2008). Improved inter‐modality image registration using normalized mutual information with coarse‐binned histograms. Communications in Numerical Methods in Engineering. 25(6). 583–595. 7 indexed citations
12.
Guo, Hongbin, Rosemary A. Renaut, & Kewei Chen. (2007). Evaluating an Alternative Model for the Input Function in FDG-PET Studies 1. 1 indexed citations
13.
Guo, Hongbin, Rosemary A. Renaut, & Kewei Chen. (2007). An input function estimation method for FDG-PET human brain studies. Nuclear Medicine and Biology. 34(5). 483–492. 31 indexed citations
14.
Guo, Hongbin, Rosemary A. Renaut, & Kewei Chen. (2005). [P‐117]: Improved imaged‐derived input function for study of human brain FDG‐PET. Alzheimer s & Dementia. 1(1S_Part_2). 1 indexed citations
15.
Guo, Hongbin & Rosemary A. Renaut. (2005). Parallel variable distribution for total least squares. Numerical Linear Algebra with Applications. 12(9). 859–876. 1 indexed citations
16.
Renaut, Rosemary A. & Hongbin Guo. (2004). Efficient Algorithms for Solution of Regularized Total Least Squares. SIAM Journal on Matrix Analysis and Applications. 26(2). 457–476. 48 indexed citations
17.
Guo, Hongbin, Rosemary A. Renaut, Kewei Chen, & Eric M. Reiman. (2003). Clustering huge data sets for parametric PET imaging. Biosystems. 71(1-2). 81–92. 59 indexed citations
18.
Guo, Hongbin & Rosemary A. Renaut. (2003). Estimation of uTƒ(A)v for large‐scale unsymmetric matrices. Numerical Linear Algebra with Applications. 11(1). 75–89. 4 indexed citations
19.
Guo, Hongbin, Rosemary A. Renaut, & Kewei Chen. (2003). Clustering for three dimensional Kinetic PET Data. 3 indexed citations
20.
Guo, Hongbin. (2001). Irr: An algorithm for computing the smallest singular value of large scale matrices. International Journal of Computer Mathematics. 77(1). 89–104. 5 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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