Dan Huang

101 total papers · 1.0k total citations
58 papers, 615 citations indexed

About

Dan Huang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Dan Huang has authored 58 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 21 papers in Computer Networks and Communications and 11 papers in Aerospace Engineering. Recurrent topics in Dan Huang's work include Stability and Control of Uncertain Systems (24 papers), Neural Networks Stability and Synchronization (17 papers) and Fault Detection and Control Systems (8 papers). Dan Huang is often cited by papers focused on Stability and Control of Uncertain Systems (24 papers), Neural Networks Stability and Synchronization (17 papers) and Fault Detection and Control Systems (8 papers). Dan Huang collaborates with scholars based in China, New Zealand and Australia. Dan Huang's co-authors include Sing Kiong Nguang, Faiz Rasool, Shan Fu, Lei Song, Youan Zhang, Shanshan Chen, Taobo Cheng, Shaoyuan Li, Zhihao Xu and Xuefeng Zhou and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Fuel.

In The Last Decade

Dan Huang

54 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Huang 468 276 56 54 46 58 615
Chang‐Duo Liang 440 0.9× 413 1.5× 46 0.8× 56 1.0× 43 0.9× 33 581
Bo Cai 480 1.0× 228 0.8× 70 1.3× 60 1.1× 38 0.8× 45 598
Hui Yu 336 0.7× 584 2.1× 53 0.9× 37 0.7× 34 0.7× 58 685
Ancai Zhang 405 0.9× 290 1.1× 28 0.5× 35 0.6× 104 2.3× 70 674
Di Wu 477 1.0× 409 1.5× 58 1.0× 118 2.2× 22 0.5× 46 680
Joe Imae 452 1.0× 179 0.6× 61 1.1× 29 0.5× 24 0.5× 85 586
Tomas Ménard 537 1.1× 225 0.8× 20 0.4× 72 1.3× 36 0.8× 38 689
Fan Zhang 254 0.5× 376 1.4× 64 1.1× 38 0.7× 60 1.3× 34 627
Daisuke Tsubakino 378 0.8× 127 0.5× 67 1.2× 88 1.6× 102 2.2× 64 600
Baoli Ma 489 1.0× 242 0.9× 25 0.4× 78 1.4× 28 0.6× 71 606

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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