Qinghua Liu

68 total papers · 1.0k total citations
22 papers, 207 citations indexed

About

Qinghua Liu is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Qinghua Liu has authored 22 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Computer Networks and Communications. Recurrent topics in Qinghua Liu's work include Time Series Analysis and Forecasting (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Reinforcement Learning in Robotics (3 papers). Qinghua Liu is often cited by papers focused on Time Series Analysis and Forecasting (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Reinforcement Learning in Robotics (3 papers). Qinghua Liu collaborates with scholars based in China, United States and France. Qinghua Liu's co-authors include Jianyu Wang, Hao Liang, H. Vincent Poor, Gauri Joshi, Fei Han, Qing-Hua Ling, Ying Xiong, John Paparrizos, Paul Boniol and Themis Palpanas and has published in prestigious journals such as IEEE Transactions on Signal Processing, Optics Express and BMC Bioinformatics.

In The Last Decade

Qinghua Liu

21 papers receiving 204 citations

Author Peers

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

Author						Papers	Cites
Qinghua Liu	98	29	28	28	23	22	207
Zhaoyang Tian	79 0.8×	13 0.4×	48 1.7×	43 1.5×	15 0.7×	27	243
Shaik Razia	95 1.0×	24 0.8×	17 0.6×	24 0.9×	18 0.8×	21	244
Noel Lopes	94 1.0×	19 0.7×	60 2.1×	14 0.5×	14 0.6×	22	218
Nemanja Milošević	73 0.7×	15 0.5×	50 1.8×	14 0.5×	20 0.9×	22	206
César Mattos	71 0.7×	16 0.6×	16 0.6×	14 0.5×	23 1.0×	44	185
Shakil Ahmed	135 1.4×	10 0.3×	30 1.1×	21 0.8×	35 1.5×	14	232
Kalyan Kumar Jena	72 0.7×	19 0.7×	49 1.8×	41 1.5×	18 0.8×	32	263
Atul Rawal	113 1.2×	18 0.6×	31 1.1×	38 1.4×	21 0.9×	18	220
Chika Yinka-Banjo	58 0.6×	28 1.0×	43 1.5×	40 1.4×	17 0.7×	35	179
Archana Sarangi	116 1.2×	29 1.0×	43 1.5×	22 0.8×	36 1.6×	21	241

Countries citing papers authored by Qinghua Liu

Since Specialization

Citations

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

Fields of papers citing papers by Qinghua Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Liu

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