Rushi Lan

3.6k total citations · 1 hit paper
167 papers, 2.4k citations indexed

About

Rushi Lan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Rushi Lan has authored 167 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Vision and Pattern Recognition, 58 papers in Artificial Intelligence and 30 papers in Media Technology. Recurrent topics in Rushi Lan's work include Advanced Image and Video Retrieval Techniques (31 papers), Image Retrieval and Classification Techniques (19 papers) and Advanced Image Processing Techniques (18 papers). Rushi Lan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (31 papers), Image Retrieval and Classification Techniques (19 papers) and Advanced Image Processing Techniques (18 papers). Rushi Lan collaborates with scholars based in China, Macao and Australia. Rushi Lan's co-authors include Xiaonan Luo, Zhenbing Liu, Yicong Zhou, Huimin Lu, Yushu Zhang, Ruoyu Zhao, Cheng Pang, Long Sun, Yuan Yan Tang and Shouhua Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Rushi Lan

146 papers receiving 2.4k 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.

MADNet: A Fast and Lightweight Network for Single-Image Super Resolution

2020 246 citations Rushi Lan, Zhenbing Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rushi Lan China	28	1.7k	606	503	196	124	167	2.4k
Malay K. Kundu India	29	1.8k 1.1×	454 0.7×	667 1.3×	149 0.8×	171 1.4×	121	2.4k
Michał Kawulok Poland	21	924 0.6×	465 0.8×	405 0.8×	164 0.8×	94 0.8×	91	1.9k
Zhijun Fang China	27	2.0k 1.2×	650 1.1×	456 0.9×	225 1.1×	206 1.7×	162	3.0k
Feilong Cao China	30	1.2k 0.7×	1.3k 2.2×	464 0.9×	147 0.8×	100 0.8×	190	2.9k
Xia De-shen China	17	1.4k 0.8×	275 0.5×	471 0.9×	147 0.8×	153 1.2×	84	1.7k
Xianglong Tang China	22	1.2k 0.7×	626 1.0×	239 0.5×	250 1.3×	71 0.6×	159	1.8k
Prabir Kumar Biswas India	23	1.5k 0.9×	316 0.5×	488 1.0×	155 0.8×	107 0.9×	155	2.3k
Gang Yang China	19	1.1k 0.7×	593 1.0×	272 0.5×	159 0.8×	155 1.3×	79	2.2k
Dacheng Tao Australia	24	2.1k 1.3×	921 1.5×	308 0.6×	94 0.5×	138 1.1×	54	2.9k

Countries citing papers authored by Rushi Lan

Since Specialization

Citations

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

Fields of papers citing papers by Rushi Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rushi Lan

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

Lin, Huan, Yumeng Wang, Lingqiao Li, et al.. (2025). Federated cross-source learning for lung nodule segmentation with data characteristic-aware weight optimization. Pattern Recognition. 172. 112396–112396.

Feng, Siyang, Liting Shi, Zhenbing Liu, et al.. (2025). Wave-aware Weakly Supervised Histopathological Tissue Segmentation with Cross-scale Logits Distillation. IEEE Transactions on Medical Imaging. PP. 1–1.

Feng, Siyang, Yanfen Cui, Lingqiao Li, et al.. (2025). Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer. Knowledge-Based Systems. 317. 113451–113451. 1 indexed citations

Yu, Jiejiang, et al.. (2025). Semi-Supervised Gland Segmentation via Feature-Enhanced Contrastive Learning and Dual-Consistency Strategy. IEEE Journal of Biomedical and Health Informatics. 29(6). 4314–4324.

Wang, Huadeng, et al.. (2024). A novel dataset and a two-stage deep learning method for breast cancer mitosis nuclei identification. Digital Signal Processing. 158. 104978–104978. 2 indexed citations

Qi, Shuren, Zhiqiu Huang, Yushu Zhang, et al.. (2024). Spatial-Frequency Discriminability for Revealing Adversarial Perturbations. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12608–12623. 2 indexed citations

Xing, Yan, et al.. (2024). Advancing 3D Mesh Segmentation with Regularization Losses: A Semi-Supervised Approach Using MeshCNN. 202–208.

Zhao, Ruoyu, Yushu Zhang, Shimin Li, et al.. (2023). 3D mesh encryption with differentiated visual effect and high efficiency based on chaotic system. Expert Systems with Applications. 238. 122140–122140. 7 indexed citations

Pan, Xipeng, Rushi Lan, Cheng Lu, et al.. (2023). SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. Medical Image Analysis. 88. 102867–102867. 37 indexed citations

10.

Tao, Xiaoling, et al.. (2023). An SSA-LC-DAE Method for Extracting Network Security Elements. IEEE Transactions on Network Science and Engineering. 10(2). 1175–1185. 7 indexed citations

11.

Lan, Rushi, et al.. (2023). AcFusion: Infrared and Visible Image Fusion Based on Self-Attention and Convolution With Enhanced Information Extraction. IEEE Transactions on Consumer Electronics. 70(1). 4155–4167. 5 indexed citations

12.

Liu, Zhenbing, et al.. (2023). Brighten up Images via Dual-Branch Structure-Texture Awareness Feature Interaction. IEEE Signal Processing Letters. 31. 46–50. 3 indexed citations

13.

Lan, Rushi, et al.. (2023). Single Traffic Image Deraining via Similarity-Diversity Model. IEEE Transactions on Intelligent Transportation Systems. 25(1). 90–103. 3 indexed citations

14.

Liu, Zhenbing, et al.. (2023). Adapting Single-Image Super-Resolution Models to Video Super-Resolution: A Plug-and-Play Approach. Sensors. 23(11). 5030–5030. 1 indexed citations

15.

Zhang, Yongming, et al.. (2022). High-efficiency and visual-usability image encryption based on thumbnail preserving and chaotic system. Journal of King Saud University - Computer and Information Sciences. 34(6). 2993–3010. 33 indexed citations

16.

Pan, Xipeng, et al.. (2021). Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review. Computers & Electrical Engineering. 91. 107038–107038. 28 indexed citations

17.

Yang, Rui, et al.. (2020). SK-FMYOLOV3: A Novel Detection Method for Urine Test Strips. Wireless Communications and Mobile Computing. 2020. 1–14.

18.

Li, Ming, et al.. (2013). Automated Flare Prediction Using Extreme Learning Machine. Mathematical Problems in Engineering. 2013. 1–7. 4 indexed citations

19.

Lan, Rushi. (2012). Affine Invariance of Central Projection Transformation. Dianzi xuebao.

20.

Lan, Rushi, et al.. (2003). Construction and implementation of RS integrated application information system of China's coastal zone and offshore. Acta Oceanologica Sinica. 22(1). 35–45. 4 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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