Yanda Meng

1.2k total citations · 1 hit paper
28 papers, 504 citations indexed

About

Yanda Meng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yanda Meng has authored 28 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Yanda Meng's work include Retinal Imaging and Analysis (11 papers), Glaucoma and retinal disorders (6 papers) and Digital Imaging for Blood Diseases (5 papers). Yanda Meng is often cited by papers focused on Retinal Imaging and Analysis (11 papers), Glaucoma and retinal disorders (6 papers) and Digital Imaging for Blood Diseases (5 papers). Yanda Meng collaborates with scholars based in United Kingdom, China and United States. Yanda Meng's co-authors include Yalin Zheng, Yitian Zhao, Hongrun Zhang, Xiaoyun Yang, Yihong Qiao, Sarah E. Coupland, Xiaowei Huang, Ioannis N. Petropoulos, Ian J. C. MacCormick and Rayaz A. Malik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Diabetologia.

In The Last Decade

Yanda Meng

25 papers receiving 500 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.

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

2022 205 citations Hongrun Zhang, Yanda Meng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanda Meng United Kingdom	11	252	230	227	71	46	28	504
Ruiwei Feng China	11	150 0.6×	121 0.5×	155 0.7×	35 0.5×	44 1.0×	14	454
Tahir Mahmood South Korea	13	232 0.9×	192 0.8×	342 1.5×	88 1.2×	77 1.7×	30	620
Adrián Colomer Spain	16	323 1.3×	293 1.3×	440 1.9×	226 3.2×	100 2.2×	56	796
Swamidoss Issac Niwas India	14	140 0.6×	212 0.9×	279 1.2×	202 2.8×	90 2.0×	19	499
Teresa Araújo Portugal	9	662 2.6×	346 1.5×	647 2.9×	109 1.5×	45 1.0×	20	953
Yangqin Feng Singapore	12	232 0.9×	165 0.7×	258 1.1×	68 1.0×	40 0.9×	20	444
Maria Inês Meyer Belgium	5	88 0.3×	177 0.8×	220 1.0×	72 1.0×	42 0.9×	5	368
Shahzad Akbar Pakistan	16	227 0.9×	318 1.4×	474 2.1×	262 3.7×	35 0.8×	49	772
Vivek Natarajan United States	5	204 0.8×	89 0.4×	196 0.9×	10 0.1×	32 0.7×	7	367

Countries citing papers authored by Yanda Meng

Since Specialization

Citations

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

Fields of papers citing papers by Yanda Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanda Meng

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

Xie, Jianyang, Yitian Zhao, Yanda Meng, et al.. (2025). Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?. 24309–24319.

Liu, Chengzhi, Zhe Chen, Feilong Tang, et al.. (2025). Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. Proceedings of the AAAI Conference on Artificial Intelligence. 39(5). 5361–5369.

Jin, Mingyu, Haiyan Zhao, Wenyue Hua, et al.. (2024). The Impact of Reasoning Step Length on Large Language Models. 1830–1842. 7 indexed citations

Nabrdalik, Katarzyna, Yanda Meng, Hanna Kwiendacz, et al.. (2024). Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study. Cardiovascular Diabetology. 23(1). 296–296. 3 indexed citations

Xie, Jianyang, Yanda Meng, Yitian Zhao, et al.. (2024). Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6225–6233. 17 indexed citations

Xie, Jianyang, Yanda Meng, Yitian Zhao, et al.. (2024). Dynamic Semantic-Based Spatial-Temporal Graph Convolution Network for Skeleton-Based Human Action Recognition. IEEE Transactions on Image Processing. 33. 6691–6704. 3 indexed citations

Chen, Xu, Xiaochen Fan, Yanda Meng, & Yalin Zheng. (2024). AI-driven generalized polynomial transformation models for unsupervised fundus image registration. Frontiers in Medicine. 11. 1421439–1421439. 1 indexed citations

Mao, Haiting, Yuhui Ma, Dan Zhang, et al.. (2024). $\text{MR}^{2}$-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance. IEEE Journal of Biomedical and Health Informatics. 29(1). 482–494.

Guo, Xinyu, Wen Han, Huaying Hao, et al.. (2024). Randomness-Restricted Diffusion Model for Ocular Surface Structure Segmentation. IEEE Transactions on Medical Imaging. 44(3). 1359–1372. 3 indexed citations

10.

Meng, Yanda, Yuchen Zhang, Jianyang Xie, et al.. (2024). Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment. Medical Image Analysis. 95. 103183–103183. 6 indexed citations

11.

Zhang, Jiong, Ran Song, Yalin Zheng, et al.. (2024). Self-Guided Adversarial Network for Domain Adaptive Retinal Layer Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 2 indexed citations

12.

Meng, Yanda, Maryam Ferdousi, Shazli Azmi, et al.. (2023). Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model. Journal of Clinical Medicine. 12(4). 1284–1284. 16 indexed citations

13.

Meng, Yanda, et al.. (2023). Retinal imaging technologies in cerebral malaria: a systematic review. Malaria Journal. 22(1). 139–139. 4 indexed citations

14.

Meng, Yanda, Giulia Coco, Mohit Parekh, et al.. (2023). Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK. Translational Vision Science & Technology. 12(5). 14–14. 12 indexed citations

15.

Meng, Yanda, et al.. (2022). Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning. Medical Image Analysis. 84. 102722–102722. 21 indexed citations

16.

Meng, Yanda, et al.. (2022). Informed Consent In Facial Photograph Publishing: A Cross-sectional Pilot Study To Determine The Effectiveness Of Deidentification Methods. Journal of Empirical Research on Human Research Ethics. 17(3). 373–381. 3 indexed citations

17.

Alam, Uazman, Matthew Anson, Yanda Meng, et al.. (2022). Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship. Journal of Clinical Medicine. 11(20). 6199–6199. 17 indexed citations

18.

Meng, Yanda, Jamie Burgess, Maryam Ferdousi, et al.. (2021). Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes. Diabetologia. 65(3). 457–466. 44 indexed citations

19.

Zhang, Hongrun, et al.. (2021). A regularization term for slide correlation reduction in whole slide image analysis with deep learning. 842–854. 1 indexed citations

20.

Meng, Yanda, Hongrun Zhang, Yitian Zhao, et al.. (2021). BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation. 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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