Xianjing Meng

647 total citations
22 papers, 484 citations indexed

About

Xianjing Meng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Xianjing Meng has authored 22 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Signal Processing. Recurrent topics in Xianjing Meng's work include Retinal Imaging and Analysis (9 papers), Biometric Identification and Security (9 papers) and Glaucoma and retinal disorders (8 papers). Xianjing Meng is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Biometric Identification and Security (9 papers) and Glaucoma and retinal disorders (8 papers). Xianjing Meng collaborates with scholars based in China, Hong Kong and United Kingdom. Xianjing Meng's co-authors include Yilong Yin, Gongping Yang, Xiaoming Xi, Lu Yang, Xinjian Chen, Haixia Li, Yuchun Tang, Tingwen Wang, Xiushan Nie and Yu Gu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Xianjing Meng

21 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xianjing Meng China	13	243	236	154	122	87	22	484
Wei Bu China	15	399 1.6×	179 0.8×	200 1.3×	35 0.3×	75 0.9×	33	605
Ricardo Santos Portugal	5	210 0.9×	290 1.2×	33 0.2×	61 0.5×	22 0.3×	10	393
Raghavender Jillela United States	8	423 1.7×	526 2.2×	37 0.2×	75 0.6×	19 0.2×	9	598
Caiyong Wang China	8	137 0.6×	158 0.7×	34 0.2×	30 0.2×	28 0.3×	24	264
Min Beom Lee South Korea	8	175 0.7×	85 0.4×	153 1.0×	16 0.1×	146 1.7×	11	376
Sílvio Filipe Portugal	4	244 1.0×	292 1.2×	34 0.2×	61 0.5×	16 0.2×	6	411
Mohammed A. M. Abdullah Iraq	14	193 0.8×	191 0.8×	52 0.3×	20 0.2×	102 1.2×	32	432
Akanksha Joshi India	10	169 0.7×	230 1.0×	20 0.1×	63 0.5×	182 2.1×	27	488
Lingyu Wang Singapore	6	184 0.8×	296 1.3×	31 0.2×	94 0.8×	13 0.1×	9	372
Kiran B. Raja Norway	12	305 1.3×	396 1.7×	17 0.1×	46 0.4×	22 0.3×	31	474

Countries citing papers authored by Xianjing Meng

Since Specialization

Citations

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

Fields of papers citing papers by Xianjing Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianjing Meng

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

Li, Peifeng, et al.. (2025). Enhanced finger vein recognition via Bi-branch multi-level feature aggregation network. The Visual Computer. 42(1).

Xu, Qing, Xiaoming Xi, Xianjing Meng, et al.. (2022). Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. Science China Information Sciences. 65(9). 8 indexed citations

Jian, Muwei, Jing Wang, Hui Yu, et al.. (2020). Visual saliency detection by integrating spatial position prior of object with background cues. Expert Systems with Applications. 168. 114219–114219. 55 indexed citations

Meng, Xianjing, et al.. (2020). Finger vein recognition based on zone-based minutia matching. Neurocomputing. 423. 110–123. 25 indexed citations

Xi, Xiaoming, et al.. (2020). IA-net: informative attention convolutional neural network for choroidal neovascularization segmentation in OCT images. Biomedical Optics Express. 11(11). 6122–6122. 22 indexed citations

Meng, Xianjing, Xiaoming Xi, Zongwei Li, & Qing Zhang. (2020). Finger Vein Recognition Based on Fusion of Deformation Information. IEEE Access. 8. 50519–50530. 6 indexed citations

Wu, Yongjian, Xiaoming Xi, Xianjing Meng, et al.. (2019). Label-Distribution Learning-Embedded Active Contour Model for Breast Tumor Segmentation. IEEE Access. 7. 97857–97864. 4 indexed citations

Lu, Xiaoqi, et al.. (2019). A Robust Iris Segmentation Scheme Based on Improved U-Net. IEEE Access. 7. 85082–85089. 49 indexed citations

Meng, Xianjing, Xiaoming Xi, Lu Yang, et al.. (2018). Fast and effective optic disk localization based on convolutional neural network. Neurocomputing. 312. 285–295. 19 indexed citations

10.

Xi, Xiaoming, Xianjing Meng, Lu Yang, et al.. (2018). Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior. Multimedia Systems. 25(2). 95–102. 24 indexed citations

11.

Xi, Xiaoming, Xianjing Meng, Lu Yang, et al.. (2018). Learned local similarity prior embedding active contour model for choroidal neovascularization segmentation in optical coherence tomography images. Science China Information Sciences. 61(9). 5 indexed citations

12.

Yang, Lu, Gongping Yang, Xiaoming Xi, et al.. (2017). Tri-Branch Vein Structure Assisted Finger Vein Recognition. IEEE Access. 5. 21020–21028. 39 indexed citations

13.

Meng, Xianjing, Xiaoming Xi, Gongping Yang, & Yilong Yin. (2017). Finger vein recognition based on deformation information. Science China Information Sciences. 61(5). 31 indexed citations

14.

Li, Haixia, Xianjing Meng, Tingwen Wang, Yuchun Tang, & Yilong Yin. (2017). Breast masses in mammography classification with local contour features. BioMedical Engineering OnLine. 16(1). 44–44. 46 indexed citations

15.

Chen, Qing, Lu Yang, Gongping Yang, Yilong Yin, & Xianjing Meng. (2017). DFVR: Deformable finger vein recognition. 1278–1282. 11 indexed citations

16.

Meng, Xianjing, et al.. (2015). A framework for retinal vasculature segmentation based on matched filters. BioMedical Engineering OnLine. 14(1). 94–94. 13 indexed citations

17.

Yin, Yilong, et al.. (2014). Blood Vessel Segmentation in Pathological Retinal Image. 960–967. 14 indexed citations

18.

Meng, Xianjing, Tao Xing, Yanqiu Xing, & Haoyang Wang. (2014). Application of fuzzy cluster analysis on diagnosing the locations of the hole defects in Acer mono wood using acoustic testing. 77. 958–962. 1 indexed citations

19.

Wei, Benzheng, et al.. (2014). Optic disc detection based on classification for retinal image. 4. 890–895. 1 indexed citations

20.

Meng, Xianjing, Yilong Yin, Gongping Yang, & Xiaoming Xi. (2013). Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform. Sensors. 13(7). 9248–9266. 23 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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