Nan Hu

166 total papers · 1.8k total citations
107 papers, 1.2k citations indexed

About

Nan Hu is a scholar working on Signal Processing, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nan Hu has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 15 papers in Artificial Intelligence and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nan Hu's work include Speech and Audio Processing (20 papers), Direction-of-Arrival Estimation Techniques (17 papers) and Phonocardiography and Auscultation Techniques (8 papers). Nan Hu is often cited by papers focused on Speech and Audio Processing (20 papers), Direction-of-Arrival Estimation Techniques (17 papers) and Phonocardiography and Auscultation Techniques (8 papers). Nan Hu collaborates with scholars based in China, United States and Singapore. Nan Hu's co-authors include Zhongfu Ye, Xu Xu, Jisheng Dai, Jibao Gu, Chunqi Chang, Ming Bao, Dongyang Xu, Jianlin Wu, Weichao Xu and Yi Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Brain Research.

In The Last Decade

Nan Hu

93 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Nan Hu 489 180 161 117 107 107 1.2k
Weize Sun 186 0.4× 176 1.0× 67 0.4× 128 1.1× 84 0.8× 89 915
Christian Ritz 528 1.1× 182 1.0× 70 0.4× 185 1.6× 153 1.4× 139 1.2k
Xiang Xie 165 0.3× 460 2.6× 85 0.5× 37 0.3× 89 0.8× 135 1.2k
Liping Li 204 0.4× 349 1.9× 122 0.8× 67 0.6× 351 3.3× 106 1.1k
Zhihong Zhang 110 0.2× 114 0.6× 45 0.3× 75 0.6× 365 3.4× 122 1.3k
Jie Chen 172 0.4× 143 0.8× 135 0.8× 19 0.2× 154 1.4× 126 1.2k
Michael Kühn 68 0.1× 81 0.5× 70 0.4× 143 1.2× 125 1.2× 79 1.3k
Wei Sun 106 0.2× 209 1.2× 218 1.4× 81 0.7× 91 0.9× 92 1.2k
Alan Liu 113 0.2× 219 1.2× 82 0.5× 72 0.6× 207 1.9× 124 1.3k
Heming Zhao 115 0.2× 289 1.6× 122 0.8× 34 0.3× 358 3.3× 116 1.3k

Countries citing papers authored by Nan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Hu

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