Ji‐Jiang Yang

2.6k total citations · 1 hit paper
75 papers, 1.7k citations indexed

About

Ji‐Jiang Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ji‐Jiang Yang has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ji‐Jiang Yang's work include Retinal Imaging and Analysis (15 papers), Digital Imaging for Blood Diseases (11 papers) and Glaucoma and retinal disorders (11 papers). Ji‐Jiang Yang is often cited by papers focused on Retinal Imaging and Analysis (15 papers), Digital Imaging for Blood Diseases (11 papers) and Glaucoma and retinal disorders (11 papers). Ji‐Jiang Yang collaborates with scholars based in China, United States and Japan. Ji‐Jiang Yang's co-authors include Jianqiang Li, Qinyan Zhang, Qing Wang, Hui Pan, Lihui Peng, Shi Chen, Jianqiang Li, Yan Pei, Azhar Imran and Yongcai Wang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ji‐Jiang Yang

67 papers receiving 1.6k 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.

A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis

2024 62 citations Xi Xu, Jianqiang Li et al. Bioengineering profile →

Peers

Ji‐Jiang Yang

RNMI

CVPR

OPHTH

AI

IS

Azhar Imran Pakistan

Krzysztof Krawiec Poland

Roy Schwartz United States

Norah Saleh Alghamdi Saudi Arabia

Rajeev Srivastava India

Aun Irtaza Pakistan

Zhenkun Wen China

Mohd Shafry Mohd Rahim Malaysia

S. K. Lakshmanaprabu India

Tariq M. Khan Pakistan

Azhar Imran Pakistan

Ji‐Jiang Yang

573 ×0.8

RNMI

310 ×0.6

CVPR

205 ×0.4

OPHTH

447 ×0.9

AI

163 ×0.6

IS

Citations per year, relative to Ji‐Jiang Yang Ji‐Jiang Yang (= 1×) peers Azhar Imran

Countries citing papers authored by Ji‐Jiang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Ji‐Jiang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Jiang Yang. 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 Ji‐Jiang Yang. The network helps show where Ji‐Jiang Yang may publish in the future.

Co-authorship network of co-authors of Ji‐Jiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Jiang Yang. A scholar is included among the top collaborators of Ji‐Jiang Yang 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 Ji‐Jiang Yang. Ji‐Jiang Yang 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:

20 of 20 papers shown

1.

Li, Jianqiang, et al.. (2025). LEGN: A large language model-guided event graph network for intraoperative hypotension prediction. Expert Systems with Applications. 294. 128677–128677.

2.

Zhao, Qing, et al.. (2024). Comparative Analysis of Large Language Models in Chinese Medical Named Entity Recognition. Bioengineering. 11(10). 982–982.

3.

Xu, Xi, Jianqiang Li, Huina Wang, et al.. (2024). A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis. Bioengineering. 11(3). 219–219. 62 indexed citations breakdown →

4.

Zhang, Qinyan, et al.. (2021). Facial Image Classification for Obstructive Sleep Apnea Pre-Screening. 1913–1917.

5.

Imran, Azhar, et al.. (2020). Automated identification of cataract severity using retinal fundus images. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 8(6). 691–698. 25 indexed citations

6.

Wang, Qing, et al.. (2019). An Improved Semi-Supervised Learning Method on Cataract Fundus Image Classification. 362–367. 19 indexed citations

7.

Shi, Chen, Zhouxian Pan, Huijuan Zhu, et al.. (2018). Development of a computer-aided tool for the pattern recognition of facial features in diagnosing Turner syndrome: comparison of diagnostic accuracy with clinical workers. Scientific Reports. 8(1). 9317–9317. 18 indexed citations

8.

Ahamed, Sheikh Iqbal, Claudio Giovanni Demartini, Thomas M. Conte, et al.. (2017). 41st IEEE Annual Computer Software and Applications Conference. 2. 2 indexed citations

9.

Fan, Weiming, et al.. (2015). Principal component analysis based cataract grading and classification. 459–462. 21 indexed citations

10.

Yang, Ji‐Jiang, Jianqiang Li, Yang Zeng, et al.. (2015). Exploiting ensemble learning for automatic cataract detection and grading. Computer Methods and Programs in Biomedicine. 124. 45–57. 126 indexed citations

11.

Li, Yifeng, et al.. (2015). Research of EEG change feature under +Gz acceleration. Computers in Industry. 70. 144–152. 2 indexed citations

12.

Yang, Ji‐Jiang, et al.. (2014). SPTP: A Trust Management Protocol for Online and Ubiquitous Systems. 12. 590–595. 1 indexed citations

13.

Rahman, Farzana, et al.. (2014). PriDaC: Privacy Preserving Data Collection in Sensor Enabled RFID Based Healthcare Services. 164. 236–242. 5 indexed citations

14.

Li, Jianqiang, Ji‐Jiang Yang, Chunchen Liu, et al.. (2014). Exploiting semantic linkages among multiple sources for semantic information retrieval. Enterprise Information Systems. 8(4). 464–489. 17 indexed citations

15.

Yang, Ji‐Jiang, et al.. (2013). Framework Design and Case Study for Privacy-Preserving Medical Data Publishing. International Journal of E-Health and Medical Communications. 4(4). 48–65. 1 indexed citations

16.

Chen, Lei, et al.. (2011). An Intelligent Information System for Maternal and Child Health Care. 441–445. 4 indexed citations

17.

Yang, Ji‐Jiang, et al.. (2010). Research on Settlement System Based on Rule Engine under Chinese Regional Medical Mode. 9. 1–4. 1 indexed citations

18.

Xu, Yuan, Ji‐Jiang Yang, & Qiao Wang. (2009). Study on intelligent financial supervision management system based on context-awareness and rule engine. 39. 675–679. 1 indexed citations

19.

Huang, Mengxing, Chunxiao Xing, & Ji‐Jiang Yang. (2008). E-government Maturity Model and Its Evaluation. Journal of Southeast University. 24(3). 389–392. 1 indexed citations

20.

Xing, Chunxiao, et al.. (2007). Dynamic Business Process Modeling and Verification for inter-organizational Collaboration. Journal of Southeast University. 23(3). 455–460. 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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