Dapeng Liu

36 total papers · 527 total citations
16 papers, 339 citations indexed

About

Dapeng Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Dapeng Liu has authored 16 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Dapeng Liu's work include Recommender Systems and Techniques (4 papers), Advanced Bandit Algorithms Research (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Dapeng Liu is often cited by papers focused on Recommender Systems and Techniques (4 papers), Advanced Bandit Algorithms Research (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Dapeng Liu collaborates with scholars based in China, United States and Hong Kong. Dapeng Liu's co-authors include Dan Pei, Yongqian Sun, Youjian Zhao, Haowen Xu, Feng Mei, Farshad Fotouhi, Artem Chebotko, Shiyong Lu, Mustafa Atay and Yao Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Knowledge and Data Engineering and Journal of Systems and Software.

In The Last Decade

Dapeng Liu

15 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
Dapeng Liu	245	220	103	66	38	16	339
Huajian Mao	146 0.6×	127 0.6×	98 1.0×	113 1.7×	49 1.3×	20	350
Ignacio Arnaldo	254 1.0×	113 0.5×	60 0.6×	50 0.8×	13 0.3×	14	342
Panjun Sun	159 0.6×	154 0.7×	44 0.4×	159 2.4×	28 0.7×	11	364
Pubali Datta	118 0.5×	174 0.8×	132 1.3×	133 2.0×	18 0.5×	11	293
Angela Orebaugh	141 0.6×	222 1.0×	84 0.8×	122 1.8×	32 0.8×	19	358
Ghaith Husari	106 0.4×	177 0.8×	125 1.2×	175 2.7×	56 1.5×	19	370
Sibi Chakkaravarthy Sethuraman	134 0.5×	179 0.8×	137 1.3×	107 1.6×	67 1.8×	22	353
Fanzhi Meng	210 0.9×	208 0.9×	122 1.2×	66 1.0×	63 1.7×	12	369
Ahmed Hefny	204 0.8×	91 0.4×	65 0.6×	70 1.1×	94 2.5×	14	399
Madhuri Siddula	147 0.6×	115 0.5×	31 0.3×	100 1.5×	24 0.6×	23	315

Countries citing papers authored by Dapeng Liu

Since Specialization

Citations

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

Fields of papers citing papers by Dapeng Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Liu

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