Yanda Meng

25 papers receiving 500 citations

Yanda Meng's Hit Papers

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification 2022 · 205 citations
2050+1+2Years since publication50100150200

Peers

Yanda Meng
Comparison fields: 5 of 77
  • Health Informatics 21
  • Computer Vision and Pattern Recognition 230
  • Radiology, Nuclear Medicine and Imaging 227
  • Artificial Intelligence 252
  • Ophthalmology 71
Replace Tahir Mahmood with:
Tahir Mahmood South Korea
Sebastian Otálora Switzerland
Yangqin Feng Singapore
Maria Inês Meyer Belgium
Adrián Colomer Spain
Ruiwei Feng China
Zhineng Chen China
Yaniv Bar Israel
Kejuan Yue China
Yanda Meng relative to Tahir Mahmood South Korea Tahir Mahmood's profile →
Citations per field
00.5×1.5×
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 28 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 →
2022205
2 202163
3 202144
4 202026
5 202222
6 202221
7 202417
8 202217
9 202316
10 202312
11 202311
12 20247
13 20227
14 20246
15 20225
16 20234
17 20214
18 20243
19 20243
20 20223

About Yanda Meng

Yanda Meng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Ophthalmology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 504 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Glaucoma and retinal disorders (6 papers), Digital Imaging for Blood Diseases (5 papers), Medical Image Segmentation Techniques (4 papers), Ocular Surface and Contact Lens (4 papers), Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (21 citations), Computer Vision and Pattern Recognition (230 citations), Radiology, Nuclear Medicine and Imaging (227 citations), Artificial Intelligence (252 citations) and Ophthalmology (71 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, Ioannis N. Petropoulos, Uazman Alam and Ian J. C. MacCormick. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Clinical Medicine, IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis and IEEE Transactions on Intelligent Transportation Systems.

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.

Explore authors with similar magnitude of impact