Danlan Huang

15 total papers · 508 total citations
5 papers, 329 citations indexed

About

Danlan Huang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Danlan Huang has authored 5 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Computer Networks and Communications and 1 paper in Sociology and Political Science. Recurrent topics in Danlan Huang's work include Digital Media Forensic Detection (3 papers), Indoor and Outdoor Localization Technologies (1 paper) and Multimedia Communication and Technology (1 paper). Danlan Huang is often cited by papers focused on Digital Media Forensic Detection (3 papers), Indoor and Outdoor Localization Technologies (1 paper) and Multimedia Communication and Technology (1 paper). Danlan Huang collaborates with scholars based in China. Danlan Huang's co-authors include Jianhua Lü, Xiaoming Tao, Feifei Gao, Guangyi Liu, Chengkang Pan, Zhijin Qin, Xiang Peng, Jun Wan, Zhixin Qi and Liang Zhang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, 2021 IEEE Global Communications Conference (GLOBECOM) and GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

In The Last Decade

Danlan Huang

3 papers receiving 325 citations

Hit Papers

Toward Semantic Communica... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Danlan Huang 170 91 77 72 43 5 329
Aziz Ouaarab 192 1.1× 53 0.6× 44 0.6× 37 0.5× 35 0.8× 6 347
Binping Zhao 191 1.1× 58 0.6× 49 0.6× 46 0.6× 56 1.3× 6 357
Jiashuai Shi 158 0.9× 62 0.7× 70 0.9× 41 0.6× 15 0.3× 7 335
Kailin Tan 137 0.8× 113 1.2× 97 1.3× 112 1.6× 15 0.3× 10 347
Waleed Yamany 223 1.3× 48 0.5× 40 0.5× 60 0.8× 46 1.1× 11 326
D.J. Sebald 105 0.6× 77 0.8× 35 0.5× 83 1.2× 63 1.5× 7 316
Lucija Brezočnik 229 1.3× 56 0.6× 40 0.5× 29 0.4× 28 0.7× 9 356
Pradnya Vikhar 104 0.6× 46 0.5× 28 0.4× 39 0.5× 29 0.7× 3 286
Gh. S. El-Tawel 194 1.1× 91 1.0× 22 0.3× 32 0.4× 32 0.7× 9 353
Jinqi Luo 228 1.3× 99 1.1× 41 0.5× 30 0.4× 20 0.5× 4 303

Countries citing papers authored by Danlan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Danlan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danlan Huang

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