Meirui Jiang

1.5k total citations
8 papers, 241 citations indexed

About

Meirui Jiang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meirui Jiang has authored 8 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Meirui Jiang's work include Privacy-Preserving Technologies in Data (5 papers), Retinal Imaging and Analysis (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Meirui Jiang is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Retinal Imaging and Analysis (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Meirui Jiang collaborates with scholars based in Hong Kong, China and United States. Meirui Jiang's co-authors include Qi Dou, Zi-Rui Wang, Cheng Chen, Junming Chen, Qifeng Chen, Daguang Xu, Dong Yang, Holger R. Roth, Xiaoyan Hu and Can Zhao and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science and Diagnostics.

In The Last Decade

Meirui Jiang

7 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meirui Jiang Hong Kong	6	159	76	53	27	25	8	241
Dianwen Ng Singapore	8	151 0.9×	85 1.1×	33 0.6×	29 1.1×	20 0.8×	23	258
Mohammed Adnan Iraq	2	146 0.9×	56 0.7×	24 0.5×	35 1.3×	14 0.6×	6	195
Naveen Paluru India	4	65 0.4×	100 1.3×	52 1.0×	16 0.6×	18 0.7×	8	181
Mohamed R. Shoaib Egypt	9	56 0.4×	65 0.9×	66 1.2×	11 0.4×	14 0.6×	20	198
Jian Han Lim Malaysia	7	174 1.1×	77 1.0×	63 1.2×	8 0.3×	21 0.8×	7	309
Zizhou Wang China	10	232 1.5×	171 2.3×	117 2.2×	14 0.5×	28 1.1×	27	344
Tanushree Meena India	7	100 0.6×	133 1.8×	62 1.2×	57 2.1×	71 2.8×	15	291
Jason Mancuso Germany	2	190 1.2×	65 0.9×	28 0.5×	60 2.2×	21 0.8×	2	265
Jesse Tetreault United States	3	89 0.6×	69 0.9×	11 0.2×	33 1.2×	12 0.5×	5	149
Yazan Al-Issa Jordan	7	130 0.8×	85 1.1×	21 0.4×	12 0.4×	27 1.1×	13	301

Countries citing papers authored by Meirui Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Meirui Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meirui Jiang

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

8 of 8 papers shown

1.

Dou, Qi, et al.. (2024). Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. 20858–20886.

2.

Jiang, Meirui, et al.. (2023). IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. IEEE Transactions on Medical Imaging. 42(7). 2106–2117. 40 indexed citations

3.

Jiang, Meirui, Holger R. Roth, Wenqi Li, et al.. (2023). Fair Federated Medical Image Segmentation via Client Contribution Estimation. 16302–16311. 35 indexed citations

4.

Koch, Lisa M., M. Jorge Cardoso, Enzo Ferrante, et al.. (2023). Domain Adaptation and Representation Transfer. Lecture notes in computer science. 2 indexed citations

5.

Chen, Junming, Meirui Jiang, Qi Dou, & Qifeng Chen. (2023). Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 361–370. 29 indexed citations

6.

Nguyen, Truong, An Ran Ran, Xiaoyan Hu, et al.. (2022). Federated Learning in Ocular Imaging: Current Progress and Future Direction. Diagnostics. 12(11). 2835–2835. 28 indexed citations

7.

Jiang, Meirui, Zi-Rui Wang, & Qi Dou. (2022). HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 1087–1095. 92 indexed citations

8.

Chen, Cheng, Meirui Jiang, Quande Liu, et al.. (2022). DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Transactions on Medical Imaging. 41(12). 3575–3586. 15 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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