Wang Qin

203 total papers · 671 total citations
52 papers, 491 citations indexed

About

Wang Qin is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wang Qin has authored 52 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wang Qin's work include EFL/ESL Teaching and Learning (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Viral Infections and Vectors (3 papers). Wang Qin is often cited by papers focused on EFL/ESL Teaching and Learning (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Viral Infections and Vectors (3 papers). Wang Qin collaborates with scholars based in China, United States and Malaysia. Wang Qin's co-authors include Yang Qing, Xiang Xiang, Yidan Liang, Zhaohui He, Chuansheng Zheng, Huibi Xu, Robert P. Ostrowski, Gansheng Feng, Qing Zhao and Xiangliang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Cell Reports.

In The Last Decade

Wang Qin

40 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Wang Qin 127 90 58 53 45 52 491
Zefeng Shen 121 1.0× 156 1.7× 67 1.2× 56 1.1× 12 0.3× 26 542
Fathinul Fikri Ahmad Saad 129 1.0× 23 0.3× 57 1.0× 77 1.5× 38 0.8× 61 522
Xiaoguang Zou 70 0.6× 128 1.4× 53 0.9× 43 0.8× 3 0.1× 39 534
Deborah Plana 80 0.6× 87 1.0× 55 0.9× 55 1.0× 6 0.1× 20 426
Jianing Liu 74 0.6× 80 0.9× 26 0.4× 28 0.5× 8 0.2× 28 455
Jia Yu 134 1.1× 84 0.9× 29 0.5× 18 0.3× 17 0.4× 39 508
Hina Saeed 104 0.8× 79 0.9× 42 0.7× 27 0.5× 12 0.3× 48 532
Renpeng Li 82 0.6× 101 1.1× 68 1.2× 46 0.9× 32 0.7× 29 528
Liyan Cui 61 0.5× 85 0.9× 28 0.5× 41 0.8× 33 0.7× 57 487
Dan Nicolae Păduraru 44 0.3× 61 0.7× 14 0.2× 76 1.4× 77 1.7× 68 529

Countries citing papers authored by Wang Qin

Since Specialization
Citations

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

Fields of papers citing papers by Wang Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Qin. A scholar is included among the top collaborators of Wang Qin 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 Wang Qin. Wang Qin 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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