Changmiao Wang

160 total papers · 1.5k total citations
65 papers, 750 citations indexed

About

Changmiao Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Changmiao Wang has authored 65 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in Changmiao Wang's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Brain Tumor Detection and Classification (8 papers) and Medical Image Segmentation Techniques (6 papers). Changmiao Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Brain Tumor Detection and Classification (8 papers) and Medical Image Segmentation Techniques (6 papers). Changmiao Wang collaborates with scholars based in China, Egypt and United States. Changmiao Wang's co-authors include Ahmed Elazab, Qingmao Hu, Jianhuang Wu, Feiwei Qin, Yong Peng, Fucang Jia, Yiyu Huang, Chenyan Zhang, Guanglin Li and Chunqi Chang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neural Networks.

In The Last Decade

Changmiao Wang

51 papers receiving 733 citations

Hit Papers

Accurate leukocyte detect... 2024 2026 2024 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Changmiao Wang 276 221 175 112 92 65 750
M. Madheswaran 274 1.0× 159 0.7× 284 1.6× 66 0.6× 38 0.4× 127 908
Haiping Yu 274 1.0× 196 0.9× 87 0.5× 113 1.0× 25 0.3× 37 810
Mohamed Roushdy 331 1.2× 230 1.0× 383 2.2× 96 0.9× 50 0.5× 76 902
Minglei Li 244 0.9× 274 1.2× 191 1.1× 56 0.5× 61 0.7× 55 884
Jintai Chen 302 1.1× 163 0.7× 260 1.5× 45 0.4× 63 0.7× 39 678
Žiga Špiclin 298 1.1× 257 1.2× 60 0.3× 126 1.1× 81 0.9× 53 706
Debashis Nandi 418 1.5× 144 0.7× 207 1.2× 67 0.6× 183 2.0× 65 848
J. Dinesh Peter 269 1.0× 312 1.4× 310 1.8× 52 0.5× 75 0.8× 66 807
Wei Xiong 422 1.5× 167 0.8× 147 0.8× 29 0.3× 31 0.3× 93 900
Ioannis Valavanis 152 0.6× 168 0.8× 173 1.0× 80 0.7× 44 0.5× 34 695

Countries citing papers authored by Changmiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changmiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changmiao Wang

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

All Works

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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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