Jianping Hua

86 total papers · 2.1k total citations
54 papers, 1.5k citations indexed

About

Jianping Hua is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jianping Hua has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jianping Hua's work include Gene expression and cancer classification (27 papers), Bioinformatics and Genomic Networks (14 papers) and Advanced Data Compression Techniques (8 papers). Jianping Hua is often cited by papers focused on Gene expression and cancer classification (27 papers), Bioinformatics and Genomic Networks (14 papers) and Advanced Data Compression Techniques (8 papers). Jianping Hua collaborates with scholars based in United States, China and Brazil. Jianping Hua's co-authors include Edward R. Dougherty, Chao Sima, Waibhav Tembe, Michael Bittner, Zixiang Xiong, Blaise Hanczar, John N. Weinstein, James Lowey, Marcel Brun and Edward Suh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Jianping Hua

52 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Jianping Hua 593 437 302 118 114 54 1.5k
Gal Elidan 607 1.0× 567 1.3× 386 1.3× 59 0.5× 90 0.8× 45 1.6k
Alexandros Kalousis 571 1.0× 711 1.6× 400 1.3× 84 0.7× 64 0.6× 49 1.6k
Justin Bedő 383 0.6× 455 1.0× 236 0.8× 42 0.4× 112 1.0× 29 1.5k
Pierre Dupont 488 0.8× 462 1.1× 184 0.6× 62 0.5× 153 1.3× 92 1.5k
Hyunjung Shin 601 1.0× 487 1.1× 164 0.5× 51 0.4× 156 1.4× 99 1.4k
Vı́ctor Robles 577 1.0× 689 1.6× 296 1.0× 49 0.4× 173 1.5× 41 1.6k
Mélanie Hilario 521 0.9× 664 1.5× 231 0.8× 45 0.4× 70 0.6× 34 1.3k
Luis Rueda 501 0.8× 284 0.6× 106 0.4× 90 0.8× 106 0.9× 122 1.1k
Maurizio Filippone 208 0.4× 932 2.1× 413 1.4× 224 1.9× 128 1.1× 62 1.8k
Michael L. Raymer 658 1.1× 526 1.2× 255 0.8× 71 0.6× 154 1.4× 67 1.7k

Countries citing papers authored by Jianping Hua

Since Specialization
Citations

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

Fields of papers citing papers by Jianping Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianping Hua

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