Hua Peng

77 total papers · 1.0k total citations
53 papers, 763 citations indexed

About

Hua Peng is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hua Peng has authored 53 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Signal Processing, 20 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Hua Peng's work include Blind Source Separation Techniques (18 papers), Wireless Signal Modulation Classification (10 papers) and Advanced Adaptive Filtering Techniques (8 papers). Hua Peng is often cited by papers focused on Blind Source Separation Techniques (18 papers), Wireless Signal Modulation Classification (10 papers) and Advanced Adaptive Filtering Techniques (8 papers). Hua Peng collaborates with scholars based in China, United Kingdom and United States. Hua Peng's co-authors include Yun Wang, David M. Drukker, Ingmar R. Prucha, Rafal Raciborski, Yiwei Pan, Tianyun Li, Wenya Wang, Huosheng Hu, Xin Qin and Jing Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Hua Peng

49 papers receiving 734 citations

Author Peers

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

Author						Papers	Cites
Hua Peng	300	163	140	138	102	53	763
Junliang Liu	258 0.9×	186 1.1×	146 1.0×	97 0.7×	43 0.4×	34	728
Paul M. Baggenstoss	395 1.3×	237 1.5×	81 0.6×	187 1.4×	48 0.5×	69	752
Yufeng Kou	390 1.3×	83 0.5×	67 0.5×	39 0.3×	50 0.5×	55	840
Kenneth J. Hintz	282 0.9×	40 0.2×	42 0.3×	105 0.8×	121 1.2×	56	690
Marcello Trovati	239 0.8×	108 0.7×	191 1.4×	76 0.6×	26 0.3×	49	869
Jingxian Liu	198 0.7×	114 0.7×	58 0.4×	116 0.8×	85 0.8×	47	627
Seyed Hamid Zahiri	417 1.4×	99 0.6×	175 1.3×	119 0.9×	33 0.3×	81	863
Fahed Abdallah	432 1.4×	64 0.4×	93 0.7×	279 2.0×	87 0.9×	53	856
Takashi Kuremoto	372 1.2×	118 0.7×	206 1.5×	124 0.9×	20 0.2×	87	840
M. Farooq	266 0.9×	25 0.2×	57 0.4×	95 0.7×	158 1.5×	88	779

Countries citing papers authored by Hua Peng

Since Specialization

Citations

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

Fields of papers citing papers by Hua Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Peng

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