Dejiang Xu

691 total citations
15 papers, 252 citations indexed

About

Dejiang Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Dejiang Xu has authored 15 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Ophthalmology. Recurrent topics in Dejiang Xu's work include Retinal Imaging and Analysis (8 papers), Retinal and Optic Conditions (6 papers) and Infrared Target Detection Methodologies (4 papers). Dejiang Xu is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Retinal and Optic Conditions (6 papers) and Infrared Target Detection Methodologies (4 papers). Dejiang Xu collaborates with scholars based in Singapore, China and Hong Kong. Dejiang Xu's co-authors include Mong Li Lee, Wynne Hsu, Tien Yin Wong, Daniel Shu Wei Ting, Carol Y. Cheung, Zelin Shi, Yih Chung Tham, E Shyong Tai, Ching‐Yu Cheng and Simon Nusinovici and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and American Journal of Ophthalmology.

In The Last Decade

Dejiang Xu

15 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dejiang Xu Singapore	6	158	111	44	37	33	15	252
Geunyoung Lee Singapore	13	361 2.3×	269 2.4×	38 0.9×	48 1.3×	23 0.7×	20	464
Tony Lindsey United States	5	209 1.3×	139 1.3×	70 1.6×	37 1.0×	94 2.8×	5	281
Daniel Ting Singapore	11	402 2.5×	408 3.7×	28 0.6×	17 0.5×	27 0.8×	20	545
Saad Khan United Kingdom	5	157 1.0×	111 1.0×	22 0.5×	37 1.0×	22 0.7×	7	263
Stephen Hogg United Kingdom	9	186 1.2×	141 1.3×	13 0.3×	17 0.5×	55 1.7×	14	241
Jinyi Ho Singapore	4	218 1.4×	159 1.4×	58 1.3×	36 1.0×	34 1.0×	6	282
Jaemin Son South Korea	7	352 2.2×	234 2.1×	37 0.8×	68 1.8×	136 4.1×	7	400
Jocelyn Hui Lin Goh Singapore	6	198 1.3×	77 0.7×	23 0.5×	94 2.5×	27 0.8×	12	366
Rubina Sarki Australia	6	299 1.9×	135 1.2×	70 1.6×	83 2.2×	139 4.2×	7	393

Countries citing papers authored by Dejiang Xu

Since Specialization

Citations

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

Fields of papers citing papers by Dejiang Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejiang Xu

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

All Works

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15 of 15 papers shown

Yu, Marco, Crystal Chun Yuen Chong, Dawei Yang, et al.. (2024). Association between deep learning measured retinal vessel calibre and incident myocardial infarction in a retrospective cohort from the UK Biobank. BMJ Open. 14(3). e079311–e079311. 2 indexed citations

Cheung, Carol Y., Xiu Juan Zhang, Hei-Nga Chan, et al.. (2023). Influence of secondhand smoke exposure on the retinal vasculature of children in Hong Kong. SHILAP Revista de lepidopterología. 3(1). 155–155. 3 indexed citations

Chan, Poemen P., M. Wong, Noel C. Y. Chan, et al.. (2022). Risk of Normal Tension Glaucoma Progression From Automated Baseline Retinal-Vessel Caliber Analysis: A Prospective Cohort Study. American Journal of Ophthalmology. 247. 111–120. 11 indexed citations

Cheung, Carol Y., Saima Hilal, Bibek Gyanwali, et al.. (2022). Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia. Brain Communications. 4(4). fcac212–fcac212. 26 indexed citations

Xu, Dejiang, Mong Li Lee, & Wynne Hsu. (2021). Classification with Dynamic Data Augmentation. 1434–1441. 1 indexed citations

Sabanayagam, Charumathi, Dejiang Xu, Daniel Shu Wei Ting, et al.. (2020). A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations. The Lancet Digital Health. 2(6). e295–e302. 152 indexed citations

Wong, Tien Yin, Dejiang Xu, Daniel Shu Wei Ting, et al.. (2019). Artificial Intelligence Deep Learning System for Predicting Chronic Kidney Disease from Retinal Images. 60(9). 1468–1468. 3 indexed citations

Xu, Dejiang, Mong Li Lee, & Wynne Hsu. (2019). Propagation Mechanism for Deep and Wide Neural Networks. 9212–9220. 5 indexed citations

Lim, Gilbert, Zhan Wei Lim, Dejiang Xu, et al.. (2019). Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9510–9515. 20 indexed citations

10.

Xu, Dejiang, Mong Li Lee, & Wynne Hsu. (2019). Patch-Level Regularizer for Convolutional Neural Network. 2 indexed citations

11.

Xu, Dejiang, Gilbert Lim, Mong Li Lee, & Wynne Hsu. (2018). A Differential-Based Approach for Vessel Type Classification in Retinal Images. 25. 2790–2794. 2 indexed citations

12.

Xu, Dejiang & Zelin Shi. (2013). DSIM: A DisSIMilarity-Based Image Clutter Metric for Targeting Performance. IEEE Transactions on Image Processing. 22(10). 4108–4122. 8 indexed citations

13.

Ai, Rui, Zelin Shi, Dejiang Xu, & Chengshuo Zhang. (2013). A line mapping based automatic registration algorithm of infrared and visible images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8907. 89072J–89072J. 1 indexed citations

14.

Xu, Dejiang & Zelin Shi. (2012). FD: A feature difference based image clutter metric for targeting performance. Infrared Physics & Technology. 55(6). 499–504. 11 indexed citations

15.

Xu, Dejiang, Zelin Shi, & Haibo Luo. (2012). A structural difference based image clutter metric with brain cognitive model constraints. Infrared Physics & Technology. 57. 28–35. 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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