Ruiqi Hu

61 total papers · 2.4k total citations
34 papers, 614 citations indexed

About

Ruiqi Hu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Ruiqi Hu has authored 34 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Ruiqi Hu's work include Complex Network Analysis Techniques (8 papers), Advanced Graph Neural Networks (7 papers) and Advanced Battery Technologies Research (5 papers). Ruiqi Hu is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Advanced Graph Neural Networks (7 papers) and Advanced Battery Technologies Research (5 papers). Ruiqi Hu collaborates with scholars based in China, Australia and United States. Ruiqi Hu's co-authors include Guodong Long, Shirui Pan, Chengqi Zhang, Jing Jiang, Sai-fu Fung, Wenfa Hu, Chao Zhang, Chun Wang, Gangqiang Zha and Wanqi Jie and has published in prestigious journals such as Journal of Power Sources, Journal of Hazardous Materials and Frontiers in Immunology.

In The Last Decade

Ruiqi Hu

31 papers receiving 602 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Learning Graph Embedding With Adversarial Training Methods

2019 240 citations Shirui Pan, Ruiqi Hu et al. IEEE Transactions on Cybernetics profile →

Author Peers

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

Author						Papers	Cites
Ruiqi Hu	295	172	107	76	68	34	614
Qingzheng Xu	336 1.1×	42 0.2×	106 1.0×	53 0.7×	48 0.7×	63	665
Shubo Zhang	94 0.3×	35 0.2×	95 0.9×	107 1.4×	52 0.8×	32	667
Bo Jiang	218 0.7×	56 0.3×	69 0.6×	80 1.1×	56 0.8×	74	636
Chunying Zhang	216 0.7×	28 0.2×	96 0.9×	59 0.8×	86 1.3×	91	656
Lu An	267 0.9×	93 0.5×	68 0.6×	170 2.2×	118 1.7×	76	666
Qingyi Chen	144 0.5×	43 0.3×	78 0.7×	65 0.9×	18 0.3×	73	641
Aimin Yang	74 0.3×	110 0.6×	147 1.4×	25 0.3×	77 1.1×	48	683
Jie Chen	110 0.4×	211 1.2×	49 0.5×	49 0.6×	29 0.4×	49	571
Ying Li	185 0.6×	43 0.3×	47 0.4×	40 0.5×	97 1.4×	46	562
Hui Xiong	228 0.8×	75 0.4×	58 0.5×	232 3.1×	42 0.6×	50	648

Countries citing papers authored by Ruiqi Hu

Since Specialization

Citations

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

Fields of papers citing papers by Ruiqi Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiqi Hu

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