Jianrui Ding

1.2k total citations · 1 hit paper
39 papers, 736 citations indexed

About

Jianrui Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jianrui Ding has authored 39 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jianrui Ding's work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Visual Attention and Saliency Detection (7 papers). Jianrui Ding is often cited by papers focused on AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Visual Attention and Saliency Detection (7 papers). Jianrui Ding collaborates with scholars based in China, United States and Ireland. Jianrui Ding's co-authors include Yingtao Zhang, Min Xian, Heng-Da Cheng, Boyu Zhang, Fei Xu, He Cheng, Chunping Ning, Jianhua Huang, Lingtao Wang and Jiafeng Liu and has published in prestigious journals such as Journal of The Electrochemical Society, IEEE Transactions on Image Processing and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jianrui Ding

37 papers receiving 722 citations

Hit Papers

align trajectories sort by overperformance

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.

CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion

2024 49 citations Jianrui Ding, Quan Quan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jianrui Ding China	14	447	367	292	101	94	39	736
Jianning Chi China	13	293 0.7×	373 1.0×	277 0.9×	71 0.7×	85 0.9×	65	760
Dexing Kong China	14	211 0.5×	381 1.0×	133 0.5×	53 0.5×	82 0.9×	54	664
Mohammed Yusuf Ansari Qatar	13	164 0.4×	251 0.7×	178 0.6×	62 0.6×	162 1.7×	21	696
Yaozhong Luo China	6	394 0.9×	326 0.9×	206 0.7×	91 0.9×	51 0.5×	7	536
Manu Goyal United Kingdom	11	541 1.2×	279 0.8×	205 0.7×	63 0.6×	109 1.2×	18	1.1k
Xinglong Wu China	8	250 0.6×	338 0.9×	96 0.3×	27 0.3×	80 0.9×	37	703
Dan Xue China	7	284 0.6×	185 0.5×	133 0.5×	45 0.4×	36 0.4×	12	413
Xiaofeng Qi China	8	408 0.9×	261 0.7×	113 0.4×	49 0.5×	46 0.5×	15	560
Jichen Yang United States	6	107 0.2×	155 0.4×	145 0.5×	37 0.4×	70 0.7×	19	481
Juanjuan Zhao China	14	229 0.5×	332 0.9×	112 0.4×	38 0.4×	77 0.8×	59	606

Countries citing papers authored by Jianrui Ding

Since Specialization

Citations

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

Fields of papers citing papers by Jianrui Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianrui Ding

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

Ding, Jianrui, et al.. (2025). Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation. 3408–3417.

Quan, Quan, et al.. (2025). Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings. npj Digital Medicine. 8(1). 291–291.

Dong, Xin, et al.. (2025). State of Health Estimation for Lithium-Ion Batteries Based on Feature Fusion and Multilayer Perceptron. Journal of The Electrochemical Society. 172(4). 40502–40502. 2 indexed citations

Ding, Jianrui, et al.. (2024). CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion. 1–5. 49 indexed citations breakdown →

Zhang, Haiyu, Yingtao Zhang, Zhaowen Qiu, et al.. (2023). Short-term effects of air pollution and weather changes on the occurrence of acute aortic dissection in a cold region. Frontiers in Public Health. 11. 3 indexed citations

Zhu, Dongjie, et al.. (2023). DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning. Intelligent Automation & Soft Computing. 36(3). 3295–3307. 2 indexed citations

Wang, Lingtao, et al.. (2023). CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network. 1–5. 53 indexed citations

Ding, Jianrui, et al.. (2022). A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification. Neural Processing Letters. 55(3). 2175–2191. 4 indexed citations

Zhang, Yingtao, Min Xian, Heng-Da Cheng, et al.. (2022). BUSIS: A Benchmark for Breast Ultrasound Image Segmentation. Healthcare. 10(4). 729–729. 49 indexed citations

10.

Ding, Jianrui, et al.. (2021). A Novel Adaptive Fuzzy Deep Learning Approach for Histopathologic Cancer Detection. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 33. 3518–3521. 2 indexed citations

11.

Zhang, Yingtao, He Cheng, Boyu Zhang, et al.. (2021). Tumor saliency estimation for breast ultrasound images via breast anatomy modeling. Artificial Intelligence in Medicine. 119. 102155–102155. 3 indexed citations

12.

Ding, Jianrui, et al.. (2019). Automatic Thyroid Ultrasound Image Segmentation Based on U-shaped Network. 1–5. 17 indexed citations

13.

Cao, Ning, et al.. (2018). An improved authentication protocol–based dynamic identity for multi-server environments. International Journal of Distributed Sensor Networks. 14(5). 812230533–812230533. 3 indexed citations

14.

Xian, Min, et al.. (2016). Unsupervised saliency estimation based on robust hypotheses. Digital Commons - USU (Utah State University). 1–6. 7 indexed citations

15.

Zhang, Yingtao, et al.. (2015). A saliency model for automated tumor detection in breast ultrasound images. 1424–1428. 33 indexed citations

16.

Ding, Jianrui, H.D. Cheng, Jianhua Huang, & Yingtao Zhang. (2014). Multiple-instance learning with global and local features for thyroid ultrasound image classification. 30. 66–70. 13 indexed citations

17.

Ding, Jianrui, et al.. (2012). Breast Ultrasound Image Classification Based on Multiple-Instance Learning. Journal of Digital Imaging. 25(5). 620–627. 40 indexed citations

18.

Ding, Jianrui, et al.. (2011). Quantitative Measurement for Thyroid Cancer Characterization Based on Elastography. Journal of Ultrasound in Medicine. 30(9). 1259–1266. 90 indexed citations

19.

Ding, Jianrui, Heng-Da Cheng, Jianhua Huang, Yingtao Zhang, & Jiafeng Liu. (2011). An improved quantitative measurement for thyroid cancer detection based on elastography. European Journal of Radiology. 81(4). 800–805. 21 indexed citations

20.

Ding, Jianrui, et al.. (1998). Prediction limit estimation for neural network models. IEEE Transactions on Neural Networks. 9(6). 1515–1522. 8 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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