Junying Zeng

798 total citations
47 papers, 512 citations indexed

About

Junying Zeng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Junying Zeng has authored 47 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Junying Zeng's work include Face and Expression Recognition (13 papers), Biometric Identification and Security (10 papers) and Face recognition and analysis (9 papers). Junying Zeng is often cited by papers focused on Face and Expression Recognition (13 papers), Biometric Identification and Security (10 papers) and Face recognition and analysis (9 papers). Junying Zeng collaborates with scholars based in China, Italy and United States. Junying Zeng's co-authors include Yikui Zhai, Chongxiu Yu, Jianjun Yu, Lingling Chen, Jianxin Ma, Xiangjun Xin, Junying Gan, Chuanbo Qin, Vincenzo Piuri and Fabio Scotti and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Journal of Lightwave Technology.

In The Last Decade

Junying Zeng

42 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junying Zeng China	12	201	166	107	79	62	47	512
Gulistan Raja Pakistan	12	122 0.6×	177 1.1×	66 0.6×	101 1.3×	65 1.0×	58	570
Lina Xu United States	10	77 0.4×	46 0.3×	108 1.0×	76 1.0×	15 0.2×	17	297
Toru Kurihara Japan	9	30 0.1×	139 0.8×	35 0.3×	36 0.5×	16 0.3×	59	280
Xiaoli Dong China	12	23 0.1×	221 1.3×	11 0.1×	122 1.5×	65 1.0×	32	398
ByungIn Yoo South Korea	9	32 0.2×	250 1.5×	32 0.3×	48 0.6×	65 1.0×	19	360
Rik Das India	10	33 0.2×	180 1.1×	30 0.3×	86 1.1×	21 0.3×	55	338
Xiaoyu Xiang United States	10	95 0.5×	349 2.1×	73 0.7×	28 0.4×	11 0.2×	24	524
Kushankur Ghosh India	7	62 0.3×	21 0.1×	40 0.4×	81 1.0×	11 0.2×	21	248
Andrea Polesel Italy	6	39 0.2×	472 2.8×	113 1.1×	40 0.5×	20 0.3×	8	724

Countries citing papers authored by Junying Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Junying Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junying Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Junying Zeng. A scholar is included among the top collaborators of Junying Zeng 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 Junying Zeng. Junying Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zeng, Junying, Yikui Zhai, Xudong Jia, et al.. (2025). Spatial Reconstruction and Joint Training in Transformer Network for Cross-Domain Remote Sensing Images Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.

Dong, Xiaohua, et al.. (2025). DSNET: A Lightweight Segmentation Model for Segmentation of Skin Cancer Lesion Regions. IEEE Access. 13. 31095–31104. 2 indexed citations

Zhai, Yikui, et al.. (2024). CAS-Net: Comparison-Based Attention Siamese Network for Change Detection With an Open High-Resolution UAV Image Dataset. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 5 indexed citations

Li, Huanhuan, et al.. (2024). Total Water–Soluble Flavonoids From Lithocarpus litseifolius (Hance) Chun (Sweet Tea) Improve Glucose Homeostasis Through Multitarget Signalling in GDM Mice. Journal of Diabetes Research. 2024(1). 1518080–1518080.

Hou, Xu, et al.. (2024). A Retrospective Study on Subgaleal Fluid Collection After Titanium Mesh and Polyetheretherketone Cranioplasty. World Neurosurgery. 194. 123538–123538. 2 indexed citations

Qin, Chen, et al.. (2024). MEAT-SAM: More Efficient Automated Tongue Segmentation Model. IEEE Access. 13. 5175–5192.

Ying, Zilu, Yikui Zhai, Xudong Jia, et al.. (2024). DGMA²-Net: A Difference-Guided Multiscale Aggregation Attention Network for Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 17 indexed citations

Zeng, Junying, et al.. (2024). Lite-HDNet: A Lightweight Domain-Adaptive Segmentation Framework for Improved Finger Vein Pattern Extraction. IEEE Access. 12. 46165–46180. 1 indexed citations

Zeng, Junying, et al.. (2024). PheoSeg: A 3D transfer learning framework for accurate abdominal CT pheochromocytoma segmentation and surgical grade prediction. Knowledge-Based Systems. 301. 112202–112202. 2 indexed citations

10.

Qin, Chuanbo, Junying Zeng, Yikui Zhai, et al.. (2023). Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization. Computer Methods and Programs in Biomedicine. 238. 107601–107601. 14 indexed citations

11.

Zhai, Yikui, Ziyi Jiang, Junying Zeng, et al.. (2022). A³PNet: Antijam and Accurate Antenna Parameters Measuring Network for Mobile Communication Base Station Using UAV. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 2 indexed citations

12.

Qin, Chuanbo, et al.. (2022). Improved U-Net3+ with stage residual for brain tumor segmentation. BMC Medical Imaging. 22(1). 14–14. 18 indexed citations

13.

Qin, Chuanbo, Junying Zeng, Lianfang Tian, et al.. (2022). Joint Transformer and Multi-scale CNN for DCE-MRI Breast Cancer Segmentation. Soft Computing. 26(17). 8317–8334. 29 indexed citations

14.

Zhai, Yikui, Zilu Ying, Junying Gan, et al.. (2021). AntennaNet: Antenna Parameters Measuring Network for Mobile Communication Base Station Using UAV. IEEE Transactions on Instrumentation and Measurement. 70. 1–17. 6 indexed citations

15.

Zeng, Junying, Yujie Huang, Chuanbo Qin, et al.. (2020). Real-Time Segmentation Method of Lightweight Network For Finger Vein Using Embedded Terminal Technique. IEEE Access. 9. 303–316. 7 indexed citations

16.

Gan, Junying, Yikui Zhai, Junying Zeng, et al.. (2020). 2M BeautyNet: Facial Beauty Prediction Based on Multi-Task Transfer Learning. IEEE Access. 8. 20245–20256. 28 indexed citations

17.

Zhai, Yikui, Wenbo Deng, Junying Gan, et al.. (2020). Facial beauty prediction via deep cascaded forest. 9(2/3). 97–97. 2 indexed citations

18.

Zeng, Junying, et al.. (2020). Finger Vein Verification Algorithm Based on Fully Convolutional Neural Network and Conditional Random Field. IEEE Access. 8. 65402–65419. 27 indexed citations

19.

Zhai, Yikui, et al.. (2019). BeautyNet: Joint Multiscale CNN and Transfer Learning Method for Unconstrained Facial Beauty Prediction. Computational Intelligence and Neuroscience. 2019. 1–14. 23 indexed citations

20.

Zeng, Junying, Chongxiu Yu, Jianxin Ma, Xiangjun Xin, & Jinlong Zhang. (2007). The implementation of wavelength conversion using the FWM in ROF systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6839. 68392B–68392B. 1 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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