Lichao Huang

80 total papers · 6.7k total citations
30 papers, 3.5k citations indexed

About

Lichao Huang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Lichao Huang has authored 30 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Plant Science. Recurrent topics in Lichao Huang's work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Plant Molecular Biology Research (5 papers). Lichao Huang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Plant Molecular Biology Research (5 papers). Lichao Huang collaborates with scholars based in China, United States and United Kingdom. Lichao Huang's co-authors include Xinggang Wang, Chang Huang, Wenyu Liu, Yunchao Wei, Zilong Huang, Yongchao Gong, Humphrey Shi, Thomas S. Huang, Yuqian Zhou and Yuchen Fan and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lichao Huang

23 papers receiving 3.5k citations

Hit Papers

CCNet: Criss-Cross Attent... 2019 2026 2021 2023 2019 2019 2020 2020 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Lichao Huang 2.6k 803 716 252 251 30 3.5k
Zhongyue Zhang 1.7k 0.7× 898 1.1× 363 0.5× 177 0.7× 262 1.0× 23 2.9k
Zilong Huang 2.9k 1.1× 1.1k 1.3× 659 0.9× 292 1.2× 305 1.2× 27 3.9k
Zhong‐Qiu Zhao 2.6k 1.0× 953 1.2× 528 0.7× 386 1.5× 286 1.1× 71 4.8k
Li Zhang 2.4k 0.9× 1.3k 1.7× 592 0.8× 261 1.0× 389 1.5× 40 3.7k
Shanghua Gao 1.6k 0.6× 680 0.8× 415 0.6× 172 0.7× 288 1.1× 14 2.7k
Hartwig Adam 2.7k 1.0× 1.2k 1.5× 447 0.6× 260 1.0× 188 0.7× 36 3.8k
B. Sankur 2.1k 0.8× 446 0.6× 730 1.0× 162 0.6× 265 1.1× 11 3.6k
Spencer Whitehead 1.9k 0.7× 973 1.2× 385 0.5× 315 1.3× 362 1.4× 12 3.9k
S.L. Eddins 2.5k 1.0× 485 0.6× 803 1.1× 254 1.0× 433 1.7× 16 5.0k
Hang Zhang 2.5k 1.0× 1.3k 1.6× 445 0.6× 243 1.0× 303 1.2× 79 4.0k

Countries citing papers authored by Lichao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Lichao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lichao Huang

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