Long Yu

2.7k total citations · 1 hit paper
153 papers, 1.7k citations indexed

About

Long Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Long Yu has authored 153 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 56 papers in Computer Vision and Pattern Recognition and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Long Yu's work include AI in cancer detection (24 papers), Advanced Neural Network Applications (21 papers) and Natural Language Processing Techniques (15 papers). Long Yu is often cited by papers focused on AI in cancer detection (24 papers), Advanced Neural Network Applications (21 papers) and Natural Language Processing Techniques (15 papers). Long Yu collaborates with scholars based in China, United Kingdom and Spain. Long Yu's co-authors include Shengwei Tian, Shengwei Tian, Xiang Ma, Weidong Wu, Hanli Wang, Xinjun Pei, Junlong Cheng, Xiaojing Kang, Hongchun Lu and Shijia Liu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Long Yu

134 papers receiving 1.7k 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.

HiFuse: Hierarchical multi-scale feature fusion network for medical image classification

2023 131 citations Gang Sun, Shengwei Tian et al. Biomedical Signal Processing and Control profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Long Yu China	20	603	554	234	173	166	153	1.7k
Shengwei Tian China	22	646 1.1×	728 1.3×	240 1.0×	173 1.0×	177 1.1×	137	2.0k
Mohamed F. Tolba Egypt	24	530 0.9×	595 1.1×	198 0.8×	147 0.8×	179 1.1×	171	2.0k
Fayadh Alenezi Saudi Arabia	30	723 1.2×	915 1.7×	323 1.4×	129 0.7×	217 1.3×	123	2.7k
Wenming Cao China	14	1.1k 1.9×	618 1.1×	143 0.6×	127 0.7×	92 0.6×	40	2.1k
Diyar Qader Zeebaree Iraq	14	646 1.1×	360 0.6×	308 1.3×	113 0.7×	52 0.3×	25	1.3k
Sheifali Gupta India	24	596 1.0×	520 0.9×	401 1.7×	101 0.6×	187 1.1×	307	2.5k
Yan Pei Japan	23	848 1.4×	448 0.8×	450 1.9×	122 0.7×	67 0.4×	158	1.8k
Jianwu Li China	23	532 0.9×	957 1.7×	170 0.7×	146 0.8×	132 0.8×	94	1.9k
Mohammad Ali Balafar Iran	20	648 1.1×	792 1.4×	153 0.7×	88 0.5×	121 0.7×	90	1.6k

Countries citing papers authored by Long Yu

Since Specialization

Citations

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

Fields of papers citing papers by Long Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Yu

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

Tian, Shengwei, et al.. (2025). MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification. Complex & Intelligent Systems. 11(1).

Yu, Long, et al.. (2025). SEDyConv: Spatially enhanced multi-dimensional dynamic convolution for medical multi-organ segmentation in CTs. Knowledge-Based Systems. 323. 113707–113707.

Guo, Xueyu, Shengwei Tian, Long Yu, Xiaoyu He, & Zhenbo Wang. (2024). MTFR: An universal multimodal fusion method through Modality Transfer and Fusion Refinement. Engineering Applications of Artificial Intelligence. 135. 108844–108844. 2 indexed citations

He, Xiaoyu, et al.. (2024). SC-Net: Multimodal metaphor detection using semantic conflicts. Neurocomputing. 594. 127825–127825. 2 indexed citations

Fu, Yao, et al.. (2024). Underwater image enhancement based on deep learning water body pre-classification. 42–42. 1 indexed citations

Song, Ziqi, et al.. (2024). Multi-task metaphor detection based on linguistic theory. Multimedia Tools and Applications. 83(24). 64065–64078.

Guo, Xueyu, Shengwei Tian, Long Yu, & Xiaoyu He. (2024). SmartRAN: Smart Routing Attention Network for multimodal sentiment analysis. Applied Intelligence. 54(24). 12742–12763.

Wang, Liangliang, et al.. (2023). A blockchain-based framework for federated learning with privacy preservation in power load forecasting. Knowledge-Based Systems. 284. 111338–111338. 18 indexed citations

Tian, Shengwei, et al.. (2023). Growth threshold for pseudo labeling and pseudo label dropout for semi-supervised medical image classification. Engineering Applications of Artificial Intelligence. 130. 107777–107777. 12 indexed citations

10.

Tian, Shengwei, et al.. (2023). MFUnetr: A transformer-based multi-task learning network for multi-organ segmentation from partially labeled datasets. Biomedical Signal Processing and Control. 85. 105081–105081. 8 indexed citations

11.

Yu, Long, et al.. (2023). ReFixMatch-LS: reusing pseudo-labels for semi-supervised skin lesion classification. Medical & Biological Engineering & Computing. 61(5). 1033–1045. 6 indexed citations

12.

Sun, Gang, Shengwei Tian, Yan Wang, et al.. (2023). HiFuse: Hierarchical multi-scale feature fusion network for medical image classification. Biomedical Signal Processing and Control. 87. 105534–105534. 131 indexed citations breakdown →

13.

Zhang, Ning, Long Yu, Weidong Wu, et al.. (2023). CT-Net: Asymmetric compound branch Transformer for medical image segmentation. Neural Networks. 170. 298–311. 24 indexed citations

14.

Zhang, Dezhi, et al.. (2023). CR-Conformer: a fusion network for clinical skin lesion classification. Medical & Biological Engineering & Computing. 62(1). 85–94. 7 indexed citations

15.

Chen, Junlong, Long Yu, Shengwei Tian, Xiaoyi Lv, & Zhaoxia Zhang. (2022). Multiscale Convolutional Neural Network of Raman Spectra of Human Serum for Hepatitis B Disease Diagnosis. 18–27,42. 2 indexed citations

16.

Yu, Long, et al.. (2022). Underwater Biological Detection Based on YOLOv4 Combined with Channel Attention. Journal of Marine Science and Engineering. 10(4). 469–469. 13 indexed citations

17.

Tian, Shengwei, et al.. (2022). RLF-LPI: An ensemble learning framework using sequence information for predicting lncRNA-protein interaction based on AE-ResLSTM and fuzzy decision. Mathematical Biosciences & Engineering. 19(5). 4749–4764. 9 indexed citations

18.

Wen, Mi, et al.. (2010). An Adaptive Key Management Framework for the Wireless Mesh and Sensor Networks. Wireless Sensor Network. 2(9). 689–697. 5 indexed citations

19.

Yu, Long. (2010). Chinese-Uyhur sentence alignment based on hybrid strategy. Computer Engineering and Applications Journal.

20.

Yu, Long, et al.. (2009). Routing algorithm based on minimal energy transmit in wireless sensor networks. Computer Engineering and Applications Journal. 45(2). 109–111. 3 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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