Zongji Sun

649 total citations · 1 hit paper
11 papers, 363 citations indexed

About

Zongji Sun is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Geriatrics and Gerontology. According to data from OpenAlex, Zongji Sun has authored 11 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 2 papers in Geriatrics and Gerontology. Recurrent topics in Zongji Sun's work include Face recognition and analysis (5 papers), Biometric Identification and Security (5 papers) and Face and Expression Recognition (4 papers). Zongji Sun is often cited by papers focused on Face recognition and analysis (5 papers), Biometric Identification and Security (5 papers) and Face and Expression Recognition (4 papers). Zongji Sun collaborates with scholars based in China, United Kingdom and Australia. Zongji Sun's co-authors include Chunhua Shen, Wenxing Li, Guansong Pang, Zhibin Liao, Jian He, Johan Verjans, Yi Li, Yong Xia, Yutong Xie and Jianpeng Zhang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IET Signal Processing and PubMed.

In The Last Decade

Zongji Sun

9 papers receiving 351 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.

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection

2020 247 citations Jianpeng Zhang, Yutong Xie et al. IEEE Transactions on Medical Imaging profile →

Peers

Zongji Sun

RNMI

AI

CVPR

SP

PRM

Pedro Silva Brazil

Tarik Alafif Saudi Arabia

Ankita Dhar India

Juan Luis Suárez Spain

Rodolfo M. Pereira Brazil

Christoph Linse Germany

Kartik Thakral India

Khalid El Asnaoui Portugal

Md Mahbubur Rahman Bangladesh

Kranthi Kumar Lella India

Pedro Silva Brazil

Zongji Sun

286 ×1.4

RNMI

130 ×0.8

AI

53 ×0.4

CVPR

56 ×1.0

SP

28 ×0.5

PRM

Citations per year, relative to Zongji Sun Zongji Sun (= 1×) peers Pedro Silva

Countries citing papers authored by Zongji Sun

Since Specialization

Citations

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

Fields of papers citing papers by Zongji Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongji Sun

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

11 of 11 papers shown

1.

Feng, Qiang, Jingjing Wang, Chengdong Xu, et al.. (2025). Physical Activity Patterns Across Life Domains in Chinese Older Adults Aged 60-79 Years - China, 2020.. PubMed. 7(6). 195–200.

2.

Sun, Zongji, et al.. (2022). [Research progress on risk prediction models of cardiovascular disease].. PubMed. 50(12). 1243–1251.

3.

Sun, Zongji, Canqing Yu, Yuming Guo, et al.. (2021). [Comparison of Fried phenotype and frailty index and their associations with risk of mortality].. PubMed. 42(7). 1179–1187. 3 indexed citations

4.

Sun, Zongji, Canqing Yu, Yaqian Guo, et al.. (2021). [Prevalence, patterns and long-term changes of multimorbidity in adults from 10 regions of China].. PubMed. 42(5). 755–762. 11 indexed citations

5.

Sun, Zongji, et al.. (2021). [Transitions on frailty status and related risk factors for its status worsening: finding from the Beijing MJ Health Screening Center].. PubMed. 42(8). 1453–1459. 1 indexed citations

6.

Zhang, Jianpeng, Yutong Xie, Guansong Pang, et al.. (2020). Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Transactions on Medical Imaging. 40(3). 879–890. 247 indexed citations breakdown →

7.

Meng, Li, et al.. (2017). Efficient approach to de‐identifying faces in videos. IET Signal Processing. 11(9). 1039–1045. 7 indexed citations

8.

Sun, Zongji, Li Meng, Aladdin Ariyaeeinia, Xiaodong Duan, & Zheng‐Hua Tan. (2016). Privacy protection performance of De-identified face images with and without background. University of Hertfordshire Research Archive (University of Hertfordshire). 1354–1359. 5 indexed citations

9.

Sun, Zongji, Li Meng, & Aladdin Ariyaeeinia. (2015). Distinguishable de-identified faces. University of Hertfordshire Research Archive (University of Hertfordshire). 1–6. 30 indexed citations

10.

Sun, Zongji, et al.. (2014). Face De-identification with perfect privacy protection. 1234–1239. 31 indexed citations

11.

Sun, Zongji, et al.. (2014). Retaining expressions on de-identified faces. 1252–1257. 28 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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