Jiewei Jiang

1.5k total citations · 2 hit papers
49 papers, 941 citations indexed

About

Jiewei Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiewei Jiang has authored 49 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Ophthalmology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiewei Jiang's work include Retinal Imaging and Analysis (18 papers), Retinal and Optic Conditions (12 papers) and Glaucoma and retinal disorders (6 papers). Jiewei Jiang is often cited by papers focused on Retinal Imaging and Analysis (18 papers), Retinal and Optic Conditions (12 papers) and Glaucoma and retinal disorders (6 papers). Jiewei Jiang collaborates with scholars based in China, Sweden and Czechia. Jiewei Jiang's co-authors include Xiyang Liu, Xiaohang Wu, Dongni Wang, Zhenzhen Liu, Erping Long, Zhuoling Lin, Haotian Lin, Qianzhong Cao, Xiaoyan Li and Shanjun Wu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Jiewei Jiang

43 papers receiving 913 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.

Deep learning for depression recognition with audiovisual cues: A review

2021 145 citations Lang He, Prayag Tiwari et al. Information Fusion profile →
Artificial intelligence in ophthalmology: The path to the real-world clinic

2023 78 citations Zhongwen Li, Lei Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiewei Jiang China	13	475	376	174	131	116	49	941
Wolfgang Fuhl Germany	17	250 0.5×	311 0.8×	80 0.5×	258 2.0×	29 0.3×	52	992
Tobias Elze United States	26	1.2k 2.5×	1.3k 3.5×	58 0.3×	126 1.0×	52 0.4×	152	1.8k
Duoru Lin China	17	491 1.0×	501 1.3×	56 0.3×	47 0.4×	10 0.1×	70	867
G Lemaître France	13	440 0.9×	207 0.6×	181 1.0×	246 1.9×	35 0.3×	49	955
Malaya Kumar Nath India	21	534 1.1×	309 0.8×	375 2.2×	493 3.8×	59 0.5×	67	1.3k
Joshua Ong United States	20	527 1.1×	392 1.0×	88 0.5×	61 0.5×	4 0.0×	167	1.3k
Nasif Zaman United States	16	261 0.5×	145 0.4×	60 0.3×	56 0.4×	5 0.0×	78	707
Francisco Luna-Perejón Spain	15	183 0.4×	19 0.1×	185 1.1×	166 1.3×	24 0.2×	34	631
Ethan Waisberg United States	17	305 0.6×	170 0.5×	74 0.4×	54 0.4×	4 0.0×	123	862
Sajid Gul Khawaja Pakistan	12	150 0.3×	102 0.3×	65 0.4×	95 0.7×	87 0.8×	50	496

Countries citing papers authored by Jiewei Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Jiewei Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiewei Jiang

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

Han, Dongdong, Zixuan Li, Kaili Ren, et al.. (2025). Automatic mode-locked fiber laser based on dual-domain discrimination integrating spectral image classification and pulse sequence recognition. Optics & Laser Technology. 192. 113861–113861.

Wang, Lei, et al.. (2025). Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology. Advanced Intelligent Systems. 7(12).

He, Lang, Junnan Zhao, Fengyan Wang, et al.. (2025). LMVD: A large-scale multimodal vlog dataset for depression detection in the wild. Information Fusion. 126. 103632–103632. 2 indexed citations

Li, Zhongwen, et al.. (2024). Transformative applications of oculomics-based AI approaches in the management of systemic diseases: A systematic review. Journal of Advanced Research. 75. 679–696. 5 indexed citations

Li, Zhongwen, Kuan Chen, Ke Ding, et al.. (2024). Promoting smartphone-based keratitis screening using meta-learning: A multicenter study. Journal of Biomedical Informatics. 157. 104722–104722. 2 indexed citations

Li, Zhongwen, Lei Wang, Kuan Chen, et al.. (2024). DeepMonitoring: a deep learning-based monitoring system for assessing the quality of cornea images captured by smartphones. Frontiers in Cell and Developmental Biology. 12. 1447067–1447067. 1 indexed citations

Jiang, Jiewei, et al.. (2024). An Acoustic Resonator with 18% Effective Electromechanical Coupling Exhibiting Low TCF and Improved Thermal Conductivity at 8 GHz. 73–76. 2 indexed citations

Li, Zhongwen, He Xie, Kuan Chen, et al.. (2024). Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study. npj Digital Medicine. 7(1). 181–181. 14 indexed citations

He, Lang, Junnan Zhao, Mingjie Zhang, et al.. (2024). LMTformer: facial depression recognition with lightweight multi-scale transformer from videos. Applied Intelligence. 55(3). 10 indexed citations

10.

Jiang, Jiewei, et al.. (2023). Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network. Journal Of Big Data. 10(1). 3 indexed citations

11.

Yang, Hailong, et al.. (2023). Spoof Surface Plasmon Polariton-Based Continuously Tunable Cutoff Frequency Filter. IEEE Microwave and Wireless Technology Letters. 33(10). 1430–1433. 9 indexed citations

12.

Xie, He, Zhongwen Li, Yitian Zhao, et al.. (2023). Deep learning for detecting visually impaired cataracts using fundus images. Frontiers in Cell and Developmental Biology. 11. 1197239–1197239. 4 indexed citations

13.

Li, Zhongwen, Hongyun Chen, Xiaomei Yu, et al.. (2022). Artificial intelligence to detect malignant eyelid tumors from photographic images. npj Digital Medicine. 5(1). 23–23. 28 indexed citations

14.

Li, Zhongwen, Jiewei Jiang, Xiaotian Liu, et al.. (2021). Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images. iScience. 24(11). 103317–103317. 11 indexed citations

15.

Jiang, Jiewei, Liming Wang, Erping Long, et al.. (2021). Automatic classification of heterogeneous slit-illumination images using an ensemble of cost-sensitive convolutional neural networks. Annals of Translational Medicine. 9(7). 550–550. 6 indexed citations

16.

Li, Zhongwen, Jiewei Jiang, Kuan Chen, et al.. (2021). Preventing corneal blindness caused by keratitis using artificial intelligence. Nature Communications. 12(1). 3738–3738. 84 indexed citations

17.

Gong, Jiamin, et al.. (2020). Image Classification to Diagnose Chronic Atrophic Gastritis Based on Squeeze-and-Excitation Block. 336–340. 3 indexed citations

18.

Jiang, Jiewei, Xiyang Liu, Lin Liu, et al.. (2018). Predicting the progression of ophthalmic disease based on slit-lamp images using a deep temporal sequence network. PLoS ONE. 13(7). e0201142–e0201142. 21 indexed citations

19.

Jiang, Jiewei, Xiyang Liu, Kai Zhang, et al.. (2017). Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network. BioMedical Engineering OnLine. 16(1). 132–132. 35 indexed citations

20.

Hou, Biao, et al.. (2011). SAR image despeckling based on improved Directionlet domain Gaussian Mixture Model. 3795–3798. 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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