Gaoming Huang

108 total papers · 638 total citations
57 papers, 473 citations indexed

About

Gaoming Huang is a scholar working on Artificial Intelligence, Signal Processing and Aerospace Engineering. According to data from OpenAlex, Gaoming Huang has authored 57 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 24 papers in Signal Processing and 15 papers in Aerospace Engineering. Recurrent topics in Gaoming Huang's work include Blind Source Separation Techniques (21 papers), Wireless Signal Modulation Classification (18 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Gaoming Huang is often cited by papers focused on Blind Source Separation Techniques (21 papers), Wireless Signal Modulation Classification (18 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Gaoming Huang collaborates with scholars based in China, United States and India. Gaoming Huang's co-authors include Jun Gao, Jun Gao, Jun Gao, Bing Liu, Lüxi Yang, Haiyang Chen, Hao Qiu, Xuebao Wang, Xinhui Wu and Wei Zuo and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Wireless Communications.

In The Last Decade

Gaoming Huang

54 papers receiving 439 citations

Author Peers

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

Author						Papers	Cites
Gaoming Huang	260	186	184	116	97	57	473
Zhiyu Qu	241 0.9×	246 1.3×	198 1.1×	125 1.1×	56 0.6×	40	545
Mehmet B. Güldoǧan	205 0.8×	275 1.5×	153 0.8×	84 0.7×	72 0.7×	34	541
Mohammad Reza Taban	134 0.5×	244 1.3×	193 1.0×	93 0.8×	39 0.4×	46	481
Omar A. Yeste-Ojeda	142 0.5×	221 1.2×	164 0.9×	69 0.6×	31 0.3×	51	469
Ji‐An Luo	112 0.4×	105 0.6×	221 1.2×	151 1.3×	47 0.5×	44	413
Donka Angelova	352 1.4×	182 1.0×	149 0.8×	50 0.4×	61 0.6×	38	533
T. Sathyan	273 1.1×	179 1.0×	308 1.7×	48 0.4×	130 1.3×	44	552
Zhenmiao Deng	112 0.4×	295 1.6×	106 0.6×	56 0.5×	38 0.4×	68	523
Richard J. Hartnett	70 0.3×	290 1.6×	204 1.1×	55 0.5×	51 0.5×	75	422
Kun Yan	79 0.3×	118 0.6×	175 1.0×	74 0.6×	36 0.4×	65	491

Countries citing papers authored by Gaoming Huang

Since Specialization

Citations

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

Fields of papers citing papers by Gaoming Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoming Huang

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