Yanda Meng

1.3k citations
42 papers · 753 · 1 hit paper · h-index 14

Impact in

Papers in

Yanda Meng

35 papers receiving 744 citations

Yanda Meng's Hit Papers

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification 2022 · 263 citations
2630+1+2Years since publication50100150200250

Peers

Yanda Meng
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 337
  • Health Informatics 20
  • Radiology, Nuclear Medicine and Imaging 306
  • Artificial Intelligence 339
  • Ophthalmology 62
Replace Tahir Mahmood with:
Tahir Mahmood South Korea
Cheng Bian China
Zhennan Yan United States
Maria Inês Meyer Portugal
Pierre-Henri Conze France
Murat Seçkin Ayhan Germany
Adrián Colomer Spain
Yaniv Bar Israel
Ruiwei Feng China
Xiaowei Ding China
Yanda Meng relative to Tahir Mahmood South Korea Tahir Mahmood's profile →
Citations per field
00.5×1.5×2.1×
Tahir Mahmood · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yanda Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanda Meng Line = papers co-authored together Yanda Meng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hit paper breakdown →
2022263
2 202173
3 202151
4 202142
5 202036
6 202033
7 202225
8 202224
9 202424
10 202321
11 202220
12 202018
13 202315
14 202113
15 202411
16 202311
17 20249
18 20229
19 20218
20 20228

About Yanda Meng

Yanda Meng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Ophthalmology, having authored 42 papers that have together received 753 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (15 papers), Medical Image Segmentation Techniques (8 papers), Digital Imaging for Blood Diseases (7 papers), Glaucoma and retinal disorders (5 papers), Medical Imaging and Analysis (5 papers), Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Ocular Surface and Contact Lens (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (337 citations), Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (306 citations), Artificial Intelligence (339 citations) and Ophthalmology (62 citations). Yanda Meng has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Yalin Zheng, Yitian Zhao, Xiaoyun Yang, Hongrun Zhang, Yihong Qiao, Sarah E. Coupland, Xiaowei Huang, Ian J. C. MacCormick, Ioannis N. Petropoulos and Uazman Alam. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis, Journal of Clinical Medicine and Lecture notes in computer science.

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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