Li Hu

104 total papers · 488 total citations
27 papers, 343 citations indexed

About

Li Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Li Hu has authored 27 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Li Hu's work include Adversarial Robustness in Machine Learning (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Cryptography and Data Security (3 papers). Li Hu is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Cryptography and Data Security (3 papers). Li Hu collaborates with scholars based in China, Hong Kong and Canada. Li Hu's co-authors include Hongyang Yan, Xiaozhang Liu, Lang Li, Xu Yuan, Zheli Liu, Chunfu Jia, Mengqi Chen, Pan Pan, Yuanzhi Liang and Yi Yang and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and Applied Soft Computing.

In The Last Decade

Li Hu

20 papers receiving 334 citations

Author Peers

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

Author						Papers	Cites
Li Hu	211	88	57	49	41	27	343
Bingyan Liu	225 1.1×	67 0.8×	44 0.8×	61 1.2×	52 1.3×	29	367
David F. Barrero	165 0.8×	93 1.1×	37 0.6×	57 1.2×	93 2.3×	41	351
Behrooz Masoumi	158 0.7×	85 1.0×	34 0.6×	80 1.6×	50 1.2×	44	365
Chao Yao	178 0.8×	194 2.2×	27 0.5×	63 1.3×	31 0.8×	31	395
Hatem Abdul-Kader	165 0.8×	39 0.4×	38 0.7×	95 1.9×	61 1.5×	48	331
Kunchang Li	177 0.8×	156 1.8×	34 0.6×	43 0.9×	95 2.3×	35	365
Chi Jiang	108 0.5×	83 0.9×	56 1.0×	51 1.0×	53 1.3×	19	297
Muhammad Raza Naqvi	109 0.5×	54 0.6×	44 0.8×	93 1.9×	70 1.7×	41	359
Maha M. Althobaiti	101 0.5×	47 0.5×	40 0.7×	97 2.0×	79 1.9×	25	321
Junli Li	129 0.6×	88 1.0×	30 0.5×	87 1.8×	78 1.9×	31	384

Countries citing papers authored by Li Hu

Since Specialization

Citations

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

Fields of papers citing papers by Li Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Hu

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