Dagan Feng

23.7k total citations · 6 hit papers
692 papers, 15.2k citations indexed

About

Dagan Feng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Dagan Feng has authored 692 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 409 papers in Computer Vision and Pattern Recognition, 248 papers in Radiology, Nuclear Medicine and Imaging and 133 papers in Artificial Intelligence. Recurrent topics in Dagan Feng's work include Medical Imaging Techniques and Applications (169 papers), Medical Image Segmentation Techniques (143 papers) and Image Retrieval and Classification Techniques (126 papers). Dagan Feng is often cited by papers focused on Medical Imaging Techniques and Applications (169 papers), Medical Image Segmentation Techniques (143 papers) and Image Retrieval and Classification Techniques (126 papers). Dagan Feng collaborates with scholars based in Australia, China and Hong Kong. Dagan Feng's co-authors include Weidong Cai, Michael Fulham, Jinman Kim, Zhiyong Wang, Yang Song, Ping Li, Lei Bi, Zheru Chi, Ashnil Kumar and Yong Xia and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Dagan Feng

665 papers receiving 14.6k citations

Hit Papers

Medical image classification with convolutional neural ne... 2014 2026 2018 2022 2014 2016 2014 2018 2014 100 200 300 400 500

Peers

Dagan Feng
Comparison fields: 5 of 205
  • Computer Vision and Pattern Recognition 6.8k
  • Radiology, Nuclear Medicine and Imaging 4.9k
  • Artificial Intelligence 3.7k
  • Biomedical Engineering 1.9k
  • Pulmonary and Respiratory Medicine 1.2k
Replace Jing Qin with:
Jing Qin China
Pheng‐Ann Heng Hong Kong
Sergey Ioffe United States
Zbigniew Wojna United States
David Warde-Farley Canada
Tanzila Saba Saudi Arabia
Clara I. Sá‎nchez Netherlands
Hao Chen China
Dmitry B. Goldgof United States
Abhishek Das United States
Jing Qin China View profile →
Citations per field, relative to Dagan Feng
Dagan Feng · 1×
Citations per year, relative to Dagan Feng
Dagan Feng · 1×

Countries citing papers authored by Dagan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Dagan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagan Feng

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 17
3 1
4 3
5 0
6 35
7 0
8 4
9 23
10
Mixed-weight neural bagging for detecting m6A modifications in SARS-CoV-2 RNA sequencing
10
11 3
12 28
13 18
14 40
15 59
16 65
17 7
18 18
19 56
20 56

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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2026