Chunhua Weng

545 total papers · 12.2k total citations
282 papers, 6.1k citations indexed

About

Chunhua Weng is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chunhua Weng has authored 282 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Molecular Biology, 122 papers in Artificial Intelligence and 51 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chunhua Weng's work include Biomedical Text Mining and Ontologies (123 papers), Topic Modeling (55 papers) and Machine Learning in Healthcare (53 papers). Chunhua Weng is often cited by papers focused on Biomedical Text Mining and Ontologies (123 papers), Topic Modeling (55 papers) and Machine Learning in Healthcare (53 papers). Chunhua Weng collaborates with scholars based in United States, Canada and China. Chunhua Weng's co-authors include Nicole G. Weiskopf, George Hripcsak, Alexander Rusanov, Riccardo Miotto, Patrick Ryan, Mary Regina Boland, John H. Gennari, Michael G. Kahn, Jake Luo and Taxiarchis Botsis and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Chunhua Weng

265 papers receiving 5.9k citations

Hit Papers

Methods and dimensions of... 2012 2026 2016 2021 2012 2016 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Chunhua Weng 2.1k 1.9k 1.5k 1.1k 681 282 6.1k
Patrick Ryan 1.3k 0.6× 1.4k 0.7× 1.0k 0.7× 862 0.8× 439 0.6× 216 8.6k
Shawn N. Murphy 1.8k 0.8× 2.6k 1.4× 1.4k 0.9× 988 0.9× 426 0.6× 214 8.8k
Bradley Malin 3.3k 1.5× 716 0.4× 861 0.6× 1.5k 1.4× 817 1.2× 279 6.4k
Riccardo Bellazzi 1.9k 0.9× 2.2k 1.1× 1.2k 0.8× 601 0.6× 233 0.3× 371 8.5k
Jyotishman Pathak 1.8k 0.8× 1.3k 0.7× 904 0.6× 617 0.6× 225 0.3× 230 5.5k
Adam Wright 1.2k 0.5× 1.4k 0.7× 3.6k 2.4× 1.2k 1.1× 495 0.7× 278 7.7k
Martijn J. Schuemie 1.5k 0.7× 1.8k 0.9× 700 0.5× 551 0.5× 238 0.3× 194 8.5k
Hongfang Liu 3.6k 1.7× 3.5k 1.8× 1.0k 0.7× 502 0.5× 260 0.4× 401 8.3k
William Hersh 2.9k 1.4× 2.7k 1.4× 2.1k 1.4× 1.2k 1.1× 587 0.9× 263 8.2k
Wendy W. Chapman 3.8k 1.8× 2.9k 1.5× 911 0.6× 543 0.5× 340 0.5× 167 7.4k

Countries citing papers authored by Chunhua Weng

Since Specialization
Citations

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

Fields of papers citing papers by Chunhua Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunhua Weng

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