Di Hu

142 total papers · 2.3k total citations
62 papers, 1.2k citations indexed

About

Di Hu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Di Hu has authored 62 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, 23 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Di Hu's work include Music and Audio Processing (23 papers), Speech and Audio Processing (20 papers) and Multimodal Machine Learning Applications (8 papers). Di Hu is often cited by papers focused on Music and Audio Processing (23 papers), Speech and Audio Processing (20 papers) and Multimodal Machine Learning Applications (8 papers). Di Hu collaborates with scholars based in China, United States and Hong Kong. Di Hu's co-authors include Xuelong Li, Feiping Nie, Yake Wei, Dong Wang, Xiaoqiang Lu, Xiaokang Peng, Yingfeng Zhang, Geng Zhang, Yang Liu and Chun‐Nam Lok and has published in prestigious journals such as Angewandte Chemie International Edition, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Di Hu

56 papers receiving 1.2k citations

Hit Papers

Balanced Multimodal Learn... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Di Hu 554 270 258 105 101 62 1.2k
Guoqing Wang 606 1.1× 253 0.9× 198 0.8× 207 2.0× 18 0.2× 105 1.5k
Zhengming Li 708 1.3× 235 0.9× 91 0.4× 161 1.5× 40 0.4× 65 1.2k
Jiang Li 178 0.3× 322 1.2× 87 0.3× 82 0.8× 39 0.4× 97 1.4k
Tianyu Zhang 163 0.3× 126 0.5× 133 0.5× 112 1.1× 26 0.3× 100 1.3k
Shruti Jain 329 0.6× 178 0.7× 72 0.3× 102 1.0× 18 0.2× 180 1.3k
Yuan-Kai Wang 557 1.0× 171 0.6× 47 0.2× 50 0.5× 37 0.4× 100 1.1k
Xiaobo Wang 531 1.0× 247 0.9× 238 0.9× 87 0.8× 25 0.2× 41 976
Xian Du 228 0.4× 182 0.7× 138 0.5× 36 0.3× 22 0.2× 66 1.2k
Muhammad Uzair 446 0.8× 231 0.9× 108 0.4× 33 0.3× 18 0.2× 54 992
Mohammad Abu Yousuf 445 0.8× 524 1.9× 111 0.4× 34 0.3× 12 0.1× 84 1.5k

Countries citing papers authored by Di Hu

Since Specialization
Citations

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

Fields of papers citing papers by Di Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Hu

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