Dadong Wang

2.5k total citations
121 papers, 1.7k citations indexed

About

Dadong Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Dadong Wang has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 21 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Artificial Intelligence. Recurrent topics in Dadong Wang's work include COVID-19 diagnosis using AI (13 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Dadong Wang is often cited by papers focused on COVID-19 diagnosis using AI (13 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Dadong Wang collaborates with scholars based in Australia, China and United States. Dadong Wang's co-authors include Suhuai Luo, Ke Xu, Jianhong Yang, Jinwu Xu, Debin Yang, Peter Summons, Changming Sun, Lijun Zhang, Pascal Vallotton and Ryan Lagerstrom and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Dadong Wang

113 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dadong Wang 340 305 263 203 183 121 1.7k
Yan Wu 626 1.8× 196 0.6× 391 1.5× 86 0.4× 81 0.4× 231 2.4k
Min Liu 1.0k 3.0× 107 0.4× 308 1.2× 146 0.7× 114 0.6× 226 3.2k
Shigang Li 613 1.8× 268 0.9× 276 1.0× 60 0.3× 71 0.4× 215 2.4k
Muhammad Awais 323 0.9× 232 0.8× 311 1.2× 146 0.7× 131 0.7× 112 1.9k
Yusuke Tamura 505 1.5× 300 1.0× 122 0.5× 70 0.3× 372 2.0× 166 2.1k
Shu Wang 504 1.5× 136 0.4× 146 0.6× 66 0.3× 170 0.9× 96 1.4k
Pin Wang 559 1.6× 152 0.5× 809 3.1× 429 2.1× 58 0.3× 170 2.3k
Juan Zhang 312 0.9× 355 1.2× 293 1.1× 66 0.3× 51 0.3× 127 1.6k
Yuxing Li 343 1.0× 591 1.9× 370 1.4× 97 0.5× 970 5.3× 193 3.6k
Houtao Deng 428 1.3× 149 0.5× 634 2.4× 272 1.3× 87 0.5× 15 1.7k

Countries citing papers authored by Dadong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dadong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dadong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dadong Wang. A scholar is included among the top collaborators of Dadong Wang 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 Dadong Wang. Dadong Wang 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
1.
Wang, Dadong, et al.. (2025). Dynamic Multi-Product Integrated Scheduling Algorithm with Urgent Delivery Date. Electronics. 14(4). 693–693.
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Popović, Gordana, et al.. (2025). The Motion Picture: Leveraging Movement to Enhance AI Object Detection in Ecology. Ecology and Evolution. 15(8). e71996–e71996.
5.
Wang, Dadong, et al.. (2024). Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation. Scientific Reports. 14(1). 28983–28983. 3 indexed citations
6.
Acharya, Debaditya, et al.. (2024). Using deep learning to automate the detection of bird scaring lines on fishing vessels. Biological Conservation. 296. 110713–110713. 2 indexed citations
7.
Saqib, Muhammad, et al.. (2024). Fishing event detection and species classification using computer vision and artificial intelligence for electronic monitoring. Fisheries Research. 280. 107141–107141. 8 indexed citations
8.
Gómez, Juan Carlos Osorio, et al.. (2024). Accuracy of Eyes of AI™ Artificial Intelligence Driven Platform for Lateral Cephalometric Analysis. SHILAP Revista de lepidopterología. 33(1). 1–10. 1 indexed citations
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Zheng, Qi, Chaoyue Wang, Dadong Wang, & Dacheng Tao. (2023). Visual Superordinate Abstraction for Robust Concept Learning. 20(1). 79–91. 2 indexed citations
11.
Luo, Suhuai, Peter Summons, Dadong Wang, et al.. (2022). Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography. Journal of Clinical Medicine. 11(18). 5342–5342. 38 indexed citations
12.
Summons, Peter, et al.. (2022). Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review. International Journal of Environmental Research and Public Health. 19(11). 6439–6439. 38 indexed citations
13.
Liu, Xiaoshi, Yu Song, Yan Zhong, et al.. (2022). Space-Confined seeding and growth of ordered arrays of TiO2 hierarchical nanostructures. Journal of Colloid and Interface Science. 630(Pt B). 436–443. 1 indexed citations
14.
Jiang, Jiyang, Dadong Wang, Yang Song, Perminder S. Sachdev, & Wei Wen. (2022). Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review. NeuroImage. 261. 119528–119528. 10 indexed citations
15.
Ke, Jing, Yiqing Shen, Yizhou Lu, et al.. (2021). Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning. Laboratory Investigation. 101(4). 513–524. 14 indexed citations
16.
Kan, Chin Fung Kelvin, et al.. (2020). Machine intelligence for nerve conduit design and production. Journal of Biological Engineering. 14(1). 25–25. 22 indexed citations
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Fu, Yi, et al.. (2016). Quantitative analysis of 3D vasculature for evaluation of angiogenesis in liver fibrosis with SR-μCT. Nuclear Science and Techniques. 27(5). 1 indexed citations
19.
Sun, Changming, Tomasz Bednarz, Tuan D. Pham, Pascal Vallotton, & Dadong Wang. (2013). 2013 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES. AIPC. 1559. 2 indexed citations
20.
Wang, Dadong & Pascal Vallotton. (2010). Improved marker-controlled watershed segmentation with local boundary priors. 1–6. 7 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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