Feihu Huang

60 total papers · 589 total citations
24 papers, 268 citations indexed

About

Feihu Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Feihu Huang has authored 24 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Mechanics. Recurrent topics in Feihu Huang's work include Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (5 papers). Feihu Huang is often cited by papers focused on Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (5 papers). Feihu Huang collaborates with scholars based in United States, China and Canada. Feihu Huang's co-authors include Heng Huang, Shangqian Gao, Songcan Chen, Weidong Cai, Jian Pei, Yanfu Zhang, Sheng-Jun Huang, Cheng Deng, Zhouyuan Huo and Zeyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Feihu Huang

23 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
Feihu Huang	159	122	45	28	17	24	268
Justin Domke	128 0.8×	158 1.3×	25 0.6×	17 0.6×	11 0.6×	24	306
Shuo Zhou	133 0.8×	87 0.7×	43 1.0×	11 0.4×	29 1.7×	20	286
Samory Kpotufe	117 0.7×	68 0.6×	19 0.4×	32 1.1×	12 0.7×	25	213
Yulai Cong	110 0.7×	109 0.9×	30 0.7×	15 0.5×	9 0.5×	22	302
Erhan Gökçay	158 1.0×	110 0.9×	19 0.4×	30 1.1×	24 1.4×	15	291
Huidong Liu	163 1.0×	175 1.4×	26 0.6×	15 0.5×	13 0.8×	21	309
Donghui Wang	143 0.9×	118 1.0×	35 0.8×	37 1.3×	7 0.4×	21	277
Jie Li	140 0.9×	123 1.0×	18 0.4×	69 2.5×	8 0.5×	26	283
Hoang Vu Nguyen	97 0.6×	77 0.6×	35 0.8×	17 0.6×	4 0.2×	26	221
Dongruo Zhou	147 0.9×	48 0.4×	47 1.0×	14 0.5×	5 0.3×	10	202

Countries citing papers authored by Feihu Huang

Since Specialization

Citations

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

Fields of papers citing papers by Feihu Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feihu Huang

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