Lizong Deng

35 total papers · 570 total citations
22 papers, 376 citations indexed

About

Lizong Deng is a scholar working on Molecular Biology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Lizong Deng has authored 22 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Lizong Deng's work include Topic Modeling (8 papers), Biomedical Text Mining and Ontologies (8 papers) and Influenza Virus Research Studies (6 papers). Lizong Deng is often cited by papers focused on Topic Modeling (8 papers), Biomedical Text Mining and Ontologies (8 papers) and Influenza Virus Research Studies (6 papers). Lizong Deng collaborates with scholars based in China, United States and United Kingdom. Lizong Deng's co-authors include Taijiao Jiang, Can Xie, Zhongxian Zhao, Xiyun Yan, Zhongmin Liu, Xiaoli Dong, Peng Zhang, Junfeng Hao, Hang Yin and Hao Jia and has published in prestigious journals such as Nature Materials, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Lizong Deng

22 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Lizong Deng 105 94 66 63 46 22 376
Daniel E. Callahan 173 1.6× 109 1.2× 20 0.3× 29 0.5× 57 1.2× 19 364
Fiorenzo Marinelli 145 1.4× 143 1.5× 26 0.4× 41 0.7× 56 1.2× 23 408
C.T. Gaffey 70 0.7× 69 0.7× 104 1.6× 36 0.6× 51 1.1× 14 370
Shude Chen 125 1.2× 64 0.7× 36 0.5× 50 0.8× 37 0.8× 24 377
S. Rieti 97 0.9× 165 1.8× 25 0.4× 45 0.7× 87 1.9× 20 439
J. Weerheim 186 1.8× 31 0.3× 23 0.3× 31 0.5× 29 0.6× 16 441
Vadim Pérez‐Koldenkova 189 1.8× 36 0.4× 78 1.2× 28 0.4× 23 0.5× 26 381
Edward C. Elson 87 0.8× 200 2.1× 16 0.2× 47 0.7× 74 1.6× 25 426
Cara R. Schiavon 231 2.2× 71 0.8× 18 0.3× 9 0.1× 11 0.2× 16 399
Huai Chiang 50 0.5× 281 3.0× 23 0.3× 41 0.7× 74 1.6× 27 382

Countries citing papers authored by Lizong Deng

Since Specialization
Citations

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

Fields of papers citing papers by Lizong Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lizong Deng

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