Xulong Wang

75 total papers · 742 total citations
43 papers, 427 citations indexed

About

Xulong Wang is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Xulong Wang has authored 43 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Artificial Intelligence and 6 papers in Genetics. Recurrent topics in Xulong Wang's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Machine Learning in Healthcare (6 papers) and Dementia and Cognitive Impairment Research (6 papers). Xulong Wang is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Machine Learning in Healthcare (6 papers) and Dementia and Cognitive Impairment Research (6 papers). Xulong Wang collaborates with scholars based in China, United Kingdom and United States. Xulong Wang's co-authors include Darwin K. Berg, Po Yang, Adrian F. Lozada, Kerri A. Massey, Natalia V. Gounko, Jun Qi, Jingjing Duan, Zhaoping Liu, Yun Yang and Renchang Zhao and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and Blood.

In The Last Decade

Xulong Wang

38 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Xulong Wang 160 93 47 36 31 43 427
Michael J. Rigby 101 0.6× 71 0.8× 43 0.9× 32 0.9× 35 1.1× 21 397
Yan Zhao 176 1.1× 55 0.6× 40 0.9× 24 0.7× 84 2.7× 36 478
Liang Li 72 0.5× 64 0.7× 38 0.8× 27 0.8× 12 0.4× 30 391
Artem Khmelinskii 121 0.8× 71 0.8× 48 1.0× 69 1.9× 21 0.7× 22 437
Matilda Haas 217 1.4× 100 1.1× 29 0.6× 15 0.4× 19 0.6× 25 486
Jiao Chen 97 0.6× 45 0.5× 70 1.5× 13 0.4× 20 0.6× 31 367
Jingliang Zhang 145 0.9× 49 0.5× 30 0.6× 23 0.6× 8 0.3× 38 468
Wen Huang 109 0.7× 41 0.4× 71 1.5× 17 0.5× 15 0.5× 40 466
Zheng Wen 63 0.4× 68 0.7× 48 1.0× 15 0.4× 12 0.4× 40 383
Cheng Fang 226 1.4× 205 2.2× 23 0.5× 24 0.7× 44 1.4× 25 470

Countries citing papers authored by Xulong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xulong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xulong Wang

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