Dan Huang

108 total papers · 639 total citations
69 papers, 431 citations indexed

About

Dan Huang is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Dan Huang has authored 69 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 16 papers in Information Systems and 16 papers in Hardware and Architecture. Recurrent topics in Dan Huang's work include Advanced Data Storage Technologies (17 papers), Parallel Computing and Optimization Techniques (14 papers) and Cloud Computing and Resource Management (14 papers). Dan Huang is often cited by papers focused on Advanced Data Storage Technologies (17 papers), Parallel Computing and Optimization Techniques (14 papers) and Cloud Computing and Resource Management (14 papers). Dan Huang collaborates with scholars based in China, United States and Singapore. Dan Huang's co-authors include Jun Wang, Yutong Lu, Wujie Wen, Navid Khoshavi, Ronald F. DeMara, Jian Zhou, Yiran Chen, Manuel Reyes De Guzman, Chi‐Hui Tsou and Chen Gao and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Dan Huang

60 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Dan Huang	187	135	81	59	55	69	431
Siva Yellampalli	113 0.6×	200 1.5×	124 1.5×	60 1.0×	86 1.6×	85	469
A. Kavitha	58 0.3×	118 0.9×	25 0.3×	41 0.7×	47 0.9×	44	374
Ruoxi Sun	49 0.3×	59 0.4×	16 0.2×	81 1.4×	29 0.5×	43	403
Shunyi Zhang	188 1.0×	57 0.4×	14 0.2×	39 0.7×	90 1.6×	80	488
Ming Zhang	166 0.9×	273 2.0×	44 0.5×	13 0.2×	31 0.6×	34	468
Xiaorong Xu	163 0.9×	274 2.0×	13 0.2×	22 0.4×	27 0.5×	68	451
Yuanyuan Zhang	82 0.4×	31 0.2×	12 0.1×	139 2.4×	49 0.9×	33	482
Miloš Milovanović	47 0.3×	258 1.9×	42 0.5×	13 0.2×	55 1.0×	42	459
Tan Li	113 0.6×	107 0.8×	36 0.4×	69 1.2×	25 0.5×	44	371
Zhiming Yang	53 0.3×	159 1.2×	24 0.3×	7 0.1×	35 0.6×	74	426

Countries citing papers authored by Dan Huang

Since Specialization

Citations

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

Fields of papers citing papers by Dan Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Huang

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