Hanlin Wang

22 total papers · 540 total citations
12 papers, 369 citations indexed

About

Hanlin Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hanlin Wang has authored 12 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hanlin Wang's work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Hanlin Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Hanlin Wang collaborates with scholars based in China and United States. Hanlin Wang's co-authors include Jay P. Heiken, Christine O. Menias, Srinivasa R. Prasad, Humberto G. Rosas, Vamsi R. Narra, William D. Middleton, Sue V. McDiarmid, Brian D. Friend, Xiaoyan Zhou and Ronald W. Busuttil and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiographics and Frontiers in Oncology.

In The Last Decade

Hanlin Wang

12 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Hanlin Wang	149	99	97	84	81	12	369
Emily Harding‐Theobald	99 0.7×	59 0.6×	151 1.6×	63 0.8×	40 0.5×	13	393
Sajal Pokharel	82 0.6×	77 0.8×	76 0.8×	89 1.1×	86 1.1×	14	398
Lukas Frick	147 1.0×	73 0.7×	59 0.6×	30 0.4×	60 0.7×	11	337
Ru-Hai Zou	176 1.2×	65 0.7×	76 0.8×	29 0.3×	96 1.2×	15	359
S. Michelle Shiller	141 0.9×	73 0.7×	24 0.2×	39 0.5×	219 2.7×	15	432
Su Yeon Ko	87 0.6×	31 0.3×	72 0.7×	132 1.6×	89 1.1×	21	334
Wijan Prapong	62 0.4×	135 1.4×	63 0.6×	41 0.5×	21 0.3×	7	398
Jeffrey Meier	96 0.6×	80 0.8×	76 0.8×	73 0.9×	75 0.9×	13	373
Tobias Paul Seraphin	124 0.8×	99 1.0×	100 1.0×	141 1.7×	38 0.5×	12	406
Robert K. Vartanian	55 0.4×	113 1.1×	79 0.8×	13 0.2×	105 1.3×	11	375

Countries citing papers authored by Hanlin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Hanlin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanlin Wang

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