Zeyu Ren

825 total citations · 2 hit papers
14 papers, 566 citations indexed

About

Zeyu Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zeyu Ren has authored 14 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zeyu Ren's work include AI in cancer detection (7 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Zeyu Ren is often cited by papers focused on AI in cancer detection (7 papers), COVID-19 diagnosis using AI (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Zeyu Ren collaborates with scholars based in United Kingdom, China and Saudi Arabia. Zeyu Ren's co-authors include Yudong Zhang, Shuihua Wang‎, Siyuan Lu, Ziquan Zhu, Shuihua Wang, Wei Wang, Hengde Zhu, Lijia Deng, Qinghua Zhou and J. M. Górriz and has published in prestigious journals such as Expert Systems with Applications, Information Fusion and Measurement.

In The Last Decade

Zeyu Ren

11 papers receiving 555 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 in food category recognition

2023 245 citations Yudong Zhang, Lijia Deng et al. Information Fusion profile →
Weakly supervised machine learning

2023 101 citations Zeyu Ren, Shuihua Wang‎ et al. CAAI Transactions on Intelligence Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zeyu Ren United Kingdom	8	228	213	186	95	71	14	566
Hengde Zhu United Kingdom	7	172 0.8×	172 0.8×	150 0.8×	108 1.1×	79 1.1×	14	596
Happy Nkanta Monday China	14	252 1.1×	124 0.6×	279 1.5×	40 0.4×	43 0.6×	49	606
Ziquan Zhu United Kingdom	7	121 0.5×	146 0.7×	98 0.5×	72 0.8×	54 0.8×	10	384
V. Seethalakshmi India	8	165 0.7×	118 0.6×	142 0.8×	67 0.7×	61 0.9×	22	472
Kh Tohidul Islam Australia	12	98 0.4×	175 0.8×	151 0.8×	46 0.5×	40 0.6×	22	427
R. Menaka India	16	231 1.0×	236 1.1×	251 1.3×	119 1.3×	205 2.9×	54	1.1k
Sang‐Woong Lee South Korea	10	232 1.0×	212 1.0×	116 0.6×	55 0.6×	91 1.3×	19	519
L. Jani Anbarasi India	13	165 0.7×	208 1.0×	161 0.9×	25 0.3×	32 0.5×	87	493
Esraa Hassan Egypt	9	154 0.7×	104 0.5×	99 0.5×	31 0.3×	39 0.5×	13	400

Countries citing papers authored by Zeyu Ren

Since Specialization

Citations

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

Fields of papers citing papers by Zeyu Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeyu Ren

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

14 of 14 papers shown

1.

Yu, Xiang, Yue Qin, Yimei Liao, et al.. (2025). Simple is what you need for efficient and accurate medical image segmentation. Expert Systems with Applications. 304. 130687–130687.

2.

Wang, Chao, et al.. (2025). SA-CMamba: Stripe-aware CNN-Mamba Hybrid Network for pixel-level surface defect detection. Measurement. 258. 119510–119510.

3.

Ren, Zeyu, et al.. (2025). Semi-CLMT: A Semi-Supervised Framework for Medical Image Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(6). 3938–3950.

4.

Zhu, Junqing, Zeyu Ren, Feng Chen, & Miao Tian. (2025). Road Visibility Detection Based on Convolutional Neural Networks with Point Cloud: RGB Fused Fog Images. Journal of Computing in Civil Engineering. 39(2). 1 indexed citations

5.

Ren, Zeyu, et al.. (2024). Exploring simple triplet representation learning. Computational and Structural Biotechnology Journal. 23. 1510–1521. 30 indexed citations

6.

Kong, Xiangyu, Zeyu Ren, & Lu Liu. (2024). Semi-Supervised Volumetric Medical Image Segmentation via Class Prototype Guided Distribution-Aligned Representation Learning. 1931–1935. 1 indexed citations

7.

Ren, Zeyu, Shuihua Wang‎, & Yudong Zhang. (2023). Weakly supervised machine learning. CAAI Transactions on Intelligence Technology. 8(3). 549–580. 101 indexed citations breakdown →

8.

Yu, Xiang, Zeyu Ren, David S. Guttery, & Yudong Zhang. (2023). DF-dRVFL: A novel deep feature based classifier for breast mass classification. Multimedia Tools and Applications. 83(5). 14393–14422. 5 indexed citations

9.

Ren, Zeyu, et al.. (2023). UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification. IEEE Open Journal of Engineering in Medicine and Biology. 5. 459–466. 62 indexed citations

10.

Zhang, Yudong, Lijia Deng, Hengde Zhu, et al.. (2023). Deep learning in food category recognition. Information Fusion. 98. 101859–101859. 245 indexed citations breakdown →

11.

Zhu, Ziquan, Zeyu Ren, Siyuan Lu, Shuihua Wang‎, & Yudong Zhang. (2023). DLBCNet: A Deep Learning Network for Classifying Blood Cells. Big Data and Cognitive Computing. 7(2). 75–75. 13 indexed citations

12.

Ren, Zeyu, Yudong Zhang, & Shuihua Wang‎. (2022). LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification. Technology in Cancer Research & Treatment. 21. 2213866260–2213866260. 30 indexed citations

13.

Ren, Zeyu, et al.. (2022). A Hybrid Framework for Lung Cancer Classification.. PubMed. 11(10). 1614–1614. 17 indexed citations

14.

Ren, Zeyu, Yudong Zhang, & Shuihua Wang‎. (2022). A Hybrid Framework for Lung Cancer Classification. Electronics. 11(10). 1614–1614. 61 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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