Ju Han

2.9k total citations · 1 hit paper
19 papers, 2.0k citations indexed

About

Ju Han is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Ju Han has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Ju Han's work include Gait Recognition and Analysis (4 papers), Human Pose and Action Recognition (3 papers) and Video Surveillance and Tracking Methods (3 papers). Ju Han is often cited by papers focused on Gait Recognition and Analysis (4 papers), Human Pose and Action Recognition (3 papers) and Video Surveillance and Tracking Methods (3 papers). Ju Han collaborates with scholars based in United States, South Korea and Singapore. Ju Han's co-authors include Bir Bhanu, Kai‐Kuang Ma, Antoine M. Snijders, Jian‐Hua Mao, Cheng Zhong, Hang Chang, Amit K. Roy–Chowdhury, Wei Wang, Hwanjo Yu and Jiong Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.

In The Last Decade

Ju Han

18 papers receiving 2.0k 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.

Individual recognition using gait energy image

2006 1.3k citations Ju Han, Bir Bhanu IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ju Han United States	10	1.6k	1.3k	451	323	149	19	2.0k
Yonghong Hou China	19	1.2k 0.8×	563 0.4×	390 0.9×	553 1.7×	231 1.6×	83	1.7k
Chunfeng Yuan China	22	1.9k 1.2×	534 0.4×	263 0.6×	992 3.1×	31 0.2×	61	2.2k
Nicolás Guil Spain	16	734 0.5×	327 0.2×	107 0.2×	146 0.5×	103 0.7×	87	1.0k
Hakan Bilen United Kingdom	17	1.4k 0.9×	220 0.2×	118 0.3×	985 3.0×	46 0.3×	51	1.9k
Yansong Tang China	17	1.1k 0.7×	259 0.2×	150 0.3×	687 2.1×	24 0.2×	44	1.4k
Hongcheng Wang United States	11	1.5k 0.9×	337 0.3×	204 0.5×	650 2.0×	27 0.2×	31	1.7k
Jan van Gemert Netherlands	22	2.0k 1.3×	192 0.1×	79 0.2×	858 2.7×	33 0.2×	76	2.4k
Jun Wan China	19	729 0.5×	138 0.1×	154 0.3×	313 1.0×	35 0.2×	85	1.1k
Weihao Gan China	16	1.1k 0.7×	186 0.1×	57 0.1×	677 2.1×	31 0.2×	25	1.4k
Mohammad Abu Alsheikh Australia	7	358 0.2×	310 0.2×	167 0.4×	196 0.6×	491 3.3×	11	1.1k

Countries citing papers authored by Ju Han

Since Specialization

Citations

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

Fields of papers citing papers by Ju Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Han. A scholar is included among the top collaborators of Ju Han 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 Ju Han. Ju Han 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:

19 of 19 papers shown

Han, Ju, et al.. (2024). Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram. Diagnostics. 14(22). 2489–2489.

Han, Ju, et al.. (2024). Attention Mechanism-Based Glaucoma Classification Model Using Retinal Fundus Images. Sensors. 24(14). 4684–4684. 5 indexed citations

Liu, Yicheng, et al.. (2022). A Super-Resolution Reconstruction Driven Helmet Detection Workflow. Applied Sciences. 12(2). 545–545. 4 indexed citations

Kim, Yong‐Suk, et al.. (2022). A Deepfake-Based Deep Learning Algorithm for Medical Data Manipulation Detection. Journal of System and Management Sciences. 3 indexed citations

Lee, Hyun Woo, Kwang Nam Jin, Sohee Oh, et al.. (2022). Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial. Annals of the American Thoracic Society. 20(5). 660–667. 6 indexed citations

Jin, Kwang Nam, Eun Young Kim, Young Jae Kim, et al.. (2022). Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study. European Radiology. 32(5). 3469–3479. 22 indexed citations

Kim, Yong‐Suk, et al.. (2022). A Study on the Development of Deepfake-Based Deep Learning Algorithm for the Detection of Medical Data Manipulation. Webology. 19(1). 4396–4409. 7 indexed citations

Chang, Hang, Ju Han, Cheng Zhong, Antoine M. Snijders, & Jian‐Hua Mao. (2017). Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5). 1182–1194. 123 indexed citations

Snijders, Antoine M., Francesco Marchetti, Nadire Duru, et al.. (2012). Genetic Differences in Transcript Responses to Low-Dose Ionizing Radiation Identify Tissue Functions Associated with Breast Cancer Susceptibility. PLoS ONE. 7(10). e45394–e45394. 27 indexed citations

10.

Bhanu, Bir & Ju Han. (2010). Human Recognition at a Distance in Video. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations

11.

Han, Ju & Bir Bhanu. (2007). Fusion of color and infrared video for moving human detection. Pattern Recognition. 40(6). 1771–1784. 137 indexed citations

12.

Han, Ju & Bir Bhanu. (2006). Individual recognition using gait energy image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(2). 316–322. 1295 indexed citations breakdown →

13.

Han, Ju & Bir Bhanu. (2006). Human Activity Recognition in Thermal Infrared Imagery. 3. 17–17. 98 indexed citations

14.

Han, Ju & Kai‐Kuang Ma. (2006). Rotation-invariant and scale-invariant Gabor features for texture image retrieval. Image and Vision Computing. 25(9). 1474–1481. 213 indexed citations

15.

Han, Ju & Bir Bhanu. (2005). Hierarchical multi-sensor image registration using evolutionary computation. 2045–2052. 2 indexed citations

16.

Han, Ju, Bir Bhanu, & Amit K. Roy–Chowdhury. (2005). A study on view-insensitive gait recognition. III–297. 33 indexed citations

17.

Yu, Hwanjo, Jiong Yang, Wei Wang, & Ju Han. (2004). Discovering compact and highly discriminative features or combinations of drug activities using support vector machines. PubMed. 2. 220–228. 28 indexed citations

18.

Bhanu, Bir & Ju Han. (2003). Kinematic-based human motion analysis in infrared sequences. 208–212. 33 indexed citations

19.

Han, Ju & Kai-Kuang Ma. (2002). Fuzzy color histogram: an efficient color feature for image indexing and retrieval. 4. 2011–2014. 1 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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